bluuebunny/crossref_metadata_2025 huggingface dataset:
CVD Grown Nanodimensional Semiconductor Heterostructure: Structural and Optical Properties
Authors: Kumari Priyanka , Rath Satchidananda
Published: December 2023

The CdSe/CdS heterostructure nanolayer thin films grown by chemical vapour deposition (CVD) technique are discussed. The morphological characterization of heterostructure is examined using scanning electron microscopy (SEM) micrographs which demonstrate the polycrystalline structure is well-developed. The structural characterization of the heterostructure using X-ray diffraction (XRD) studies reveals that the sample’s structure is hexagonal. The optical characterization has been performed using a UV-Visible spectrophotometer that might illustrate the formation of the CdSe/CdS heterostructure interface. These studies could help to design new optoelectronic devices with a high level of efficiency.
DFT investigations of a copolymer of Dimeric Pyrrole and Dimeric 3-methyl furan
Authors: Sharma S , Khare K P , Srivastava R , Kathal R , Srivastava A
Published: December 2023

Conducting polymers are mainly used for the electronic applications, owing to its large surface area, good environmental stability, low cost, flexibility, and simplicity in synthesis. Among the conducting polymers, Dimeric Pyrrole and its copolymers are the most widely investigated and promising for commercial applications. Copolymerization is the best route to modify the conductivity of copolymers than their host polymers. The present work investigates the stability analysis and the electronic properties in terms of the HOMO-LUMO gap, DOS plot, and the electron density of dimeric Pyrrole, dimeric 3-methylfuran, and their copolymer using a density functional theory (DFT). We observed that the stability increases as the total energy in the copolymer of dimeric Pyrrole and dimeric 3-methylfuran decreases than its host dimers. The negative total energy confirms the stability of the copolymer than its host polymers. The electron density predicted the electron behavior of the atoms present in the system. As a result, we conclude that computationally synthesized copolymer with improved stability and better electronic properties (HOMO-LUMO gap, DOS profile, and electron density), maybe a better choice for the polymeric sensors sensor for drug molecules and their metabolic intermediates.
Effect of intrinsic & Rashba spin-orbit interactions (SOI) in case of bilayer graphene
Authors: Kumari Shweta , Pratap Surender
Published: December 2023

In this study, we investigated how various SOI affect the properties of bilayer graphene’s energy band structure. We have considered intralayer interactions in this work. We focused on the system without biasing. We found that the intrinsic spin-orbit interaction (ISOI) can produce an energy band gap in bilayer graphene. On the other hand, in the case of an intralayer Rashba spin-orbit interaction (RSOI) different energy bands exist. The results shown depicts how the behaviour of the energy bands remains the same when we are increasing the number of atoms (N) in a unit cell of bilayer graphene.
Bidirectional Propulsion of Bioinspired Microswimmer in Microchannel at Low Reynolds Number
Authors: Chennaram  , Sharanya S. , Sonamani Singh T.
Published: December 2023

Swimming of micro-scale bodies is different from macro-scale counterparts due to low Reynolds number (Re) fluid-swimmer interaction. The Re is defined as the ratio of inertial force to viscous force and it can be expressed as, Re =ρ𝑣𝑙/µ, where ρ and µ are the density and viscosity of the fluid medium, v and l are the velocity and length of the swimmer. For microswimmers, due to the small length scale Re < 1, the inertial forces are negligible compared to viscous forces. Unlike the macroscale swimmers which exploit the inertial force for locomotion, microswimmers must use a different strategy to propel in low Re condition. These strategies are already available and used by microorganisms, which are perfect low Re swimmers, for example, Spermatozoon exploits their tail flexibility and anisotropic drag to swim, and E. coli bacteria use their helical tail to generate a non-reciprocal motion. By mimicking these microswimmers, researchers have developed many bioinspired microswimmers/microrobots having the potential to perform biomedical tasks like drug delivery, cell manipulation, in-situ sensing, and detoxification. Theoretical modeling and simulation of microswimmers are generally done by assuming that the microswimmer is in an infinite fluid medium, but the type of biomedical applications aimed are in confined environments with boundaries. Also, the environments are very complex, and it requires precise control and efficacy. In this paper, we present the modeling of flagellated magnetic microswimmer (inspired by Spermatozoon) in a microchannel using the finite element method. The dynamics were simulated by incorporating the complete hydrodynamic interactions (HI), that is intra-HI between the parts of the swimmer and inter-HI between the swimmer and the boundary walls of the channel. The parametric dependence analysis reveals that swimmer kinematics are dependent on the length and width of the tail, the head radius, width of the channel, and the actuation frequency of the driving magnetic field. These dependencies are explored to find a navigation control mechanism for the propulsion of microswimmer in a channel.
To study the effect of strain engineering on the band gap of BaI2 monolayer: a first principle approach
Authors: Rani Rekha , Sinha M.M.
Published: December 2023

Inspired by the recent proposal of improving materials performance by strain engineering, first principles calculations are performed to investigate the consequences of compressive and tensile strain on the band gap of BaI2 monolayer. Pristine monolayer is discovered to be a large band gap material with a band gap of 4.06 eV. The dynamical stability of material has been confirmed by the phonon dispersion curve which includes only real phonon mode. Calculations show that the application of strain decrease the band gap of monolayer. The effect of strain has been observed at the 4%, 8%, 12% compressive and tensile strain. The band gap has been reduced from 4.06 eV to 3.52 eV and 3.63 eV under the application of 12 % compressive and tensile strain respectively. In our knowledge the effect of strain on BaI2 monolayer has been studied for the first time and it opens new avenue to modify the properties of monolayer.
Lattice dynamics study of gold nanotube
Authors: Priyanka  , Dharamvir Keya
Published: December 2023

We have developed an analytical analysis based on lattice dynamics theory to study phonon dispersion relation for gold nanotube. This paper gives an overview of the methodology for calculating of phonon dispersion of gold nanotube using an example of small gold nanosheet. The dynamical matrix for the gold nanosheet was calculated using the force constants derived from Gupta Potential (GP). A better understanding of properties of gold nanotube is useful for its quick characterisation for possible applications in bio sensing, imaging etc. This work may be helpful in formulating algebra for calculating the phonon dispersion of gold nanotube and can be further used for calculating properties such as specific heat, thermal conductivity etc. at low computational cost in comparison with first principle calculations.
Environmental safety from radioactive radiation perspective-A preliminary research
Authors: Vinayak Karan Singh , Sood Aarushi , Sharma Ankit , Sandhu Kirandeep , Agrawal Paras
Published: December 2023

A preliminary cum. exploratory research is carried out to explore the few selected areas within Chandigarh to introspect our living and surrounding environmental conditions that whether it’s safe from radiation perspective or not. The radiation here in this paper signifies the highly energetic radioactive radiation emitted from inside the nucleus. The motivation for performing this work is to ensure the safety of living beings from the radioactive exposure. Effects of the radiation, especially in case of prolonged exposure, can be extremely dangerous or even fatal in near future if its dose limit exceeds than permissible limits. This brief investigation accounts for the background radiation manifested from natural radioactivity in building materials like gray cement or paint samples of various kinds. The study is also carried out at some critical spots in the Chandigarh city like hospitals which have radiology and radiotherapy centres, such as educational institutions (physics and chemistry labs), waste management unit, dumping ground etc. Radiation sensitive G.M counter apparatus have been used to analyse the presence and account for the presence of radiations persisting in that particular area. Henceforth, to acknowledge the radiation levels with a gas filled detection system (G.M. Counter) for that an optimal value of operating voltage is figured out. A preliminary investigation has revealed that the radiation counts/minute observed by us in the selected zones and spots is well within the permissible limits. A much systematic study with more accurate devices especially in the radiation prone areas of the country is highly required.
Nondestructive Evaluation of Fluid Characteristics using Compact Quarter-Mode SIW Resonator Sensor
Authors: Shekhar Swapnil , Kumar Kundan , Singh Surinder , Prasad Kamlesh
Published: December 2023

Novel compact quarter-mode (QM) substrate integrated waveguide (SIW) resonator sensor based on dielectric properties developed. The sensor works on the principle of material perturbation of the cavity resonator. It operates in the broader range of ISM frequency band to characterize various properties of pure liquids, their admixtures, and soluble solids in the solution. The sensor is excited by a 50-ohm microstrip line. A Teflon tube passes through one end of the sensor to hold the material under test (MUT). The variations in the dielectric constant of the material under test shift the resonant frequency. The simulation result shows adequate shifts in resonant frequency and dielectric constant dependent. Thus, this feature of resonate frequency shift assists in determining the component concentration, adulteration, or various properties depending on specific calibration. The findings suggest that the proposed sensor can be successfully applied to determine properties with high precision using a very small amount of fluid in a novel non-destructive approach.
Evaluation of Gamma-Ray Sensing Parameters for Some Oxides of Lanthanides
Authors: Singh Jaswinder , Dhillon Jasjot Singh , Vermani Yogesh K. , Singh Tejbir
Published: December 2023

We attempted to investigate gamma-ray sensing properties of selected oxides of lanthanides over wide gamma-ray spectrum. The effective atomic number (Zeff) and optimum thickness range are calculated for some oxides of rare-earth lanthanides: La2O3, Sm2O3, Eu2O3, Er2O3, Yb2O3, Lu2O3. These photon attenuation and sensing parameters were calculated using the online Py-MLBUF program. Among the lanthanide oxides investigated, lutetium oxide (Lu2O3) is found to possess higher effective atomic number and relatively smaller optimum thickness range which makes it a suitable choice for radiation sensing applications.
Investigating CP Violating Majorana Phases of Neutrinos
Authors: Lisha  , Mahajan Neelu
Published: December 2023

Pontecorvo-Maki-Nakagawa-Sakata (PMNS) matrix is a complex symmetric matrix consisting of three generations of neutrinos and 12 real parameters. Diagonalizing the neutrino mass matrix and expressing the same in terms of three neutrino masses, three mixing angles, one Dirac phase and two Majorana phases such that it removes all the unphysical phases. The absolute neutrino mass scale and two Majorana CP-violating phases cannot be determined by neutrino oscillation experiments and hence an attempt has been made to investigate Majorana phases by drawing a correlation between the elements of neutrino mass matrix under the conditions of simultaneity and equated them to zero. We obtain twenty-five neutrino mass matrix textures for inverted hierarchy of Majorana neutrinos. Finally, numerical values of Majorana phases have been calculated for these textures and other phenomenological quantities are in consistent with the oscillation data.
Using SRIM code for calculating Bragg curve, projected range, straggling of 12C ion in biological materials
Authors: Kane S. N. , Verma R.
Published: December 2023

‘The Stopping and Range of Ions in Matter’ SRIM program, utilizing the built-in compound directory has been used to compute Bragg curve, projected range, longitudinal, lateral straggle of 12C ion with energies of 1 − 150 MeV in biological matter: liquid water (benchmark) human blood, skin, thyroid, and spleen are assessed. Results show that in the studied biological media for higher energy beam i): noticeable modification are seen in Bragg peak, shift in peak-position; ii) maximum projected range: 595.2 μm suggests effective use of 12C ions for cancer tumor therapy, especially for superficial cancer tumors, without much damage to healthier cells; iii) longitudinal straggling ~ 22.6 μm, low lateral straggling ~ 4.7 μm suggests potential application of 12C ions in treating cancer tumor nearby critical organs, causing minimal damage in nearby normal tissues.
Real-time gesture-based control of UAVs using multimodal fusion of FMCW radar and vision
Authors: Yang Lewei
Published: December 2023

Gesture-based control has gained prominence as an intuitive and natural means of interaction with unmanned aerial vehicles (UAVs). This paper presents a real-time gesture-based control system for UAVs that leverages the multimodal fusion of Frequency Modulated Continuous Wave (FMCW) radar and vision sensors, aiming to enhance user experience through precise and responsive UAV control via hand gestures. The research focuses on developing an effective fusion framework that combines the complementary advantages of FMCW radar and vision sensors. FMCW radar provides robust range and velocity measurements, while vision sensors capture fine-grained visual information. By integrating data from these modalities, the system achieves a comprehensive understanding of hand gestures, resulting in improved gesture recognition accuracy and robustness. The proposed system comprises three main stages: data acquisition, gesture recognition, and multimodal fusion. In the data acquisition stage, synchronized data streams from FMCW radar and vision sensors are captured. Then, machine learning algorithms are employed in the gesture recognition stage to classify and interpret hand gestures. Finally, the multimodal fusion stage aligns and fuses the data, creating a unified representation that captures the spatial and temporal aspects of hand gestures, enabling real-time control commands for the UAV. Experimental results demonstrate the system‘s effectiveness in accurately recognizing and responding to hand gestures. The multimodal fusion of FMCW radar and vision sensors enables a robust and versatile gesture-based control interface.
Transformer-based network with difference information aware attention module
Authors: Xu Jiahe , Liu Mengxin , Li Ziyan
Published: December 2023

Existing great progress has been made through remote sensing image change detection (CD) methods, which use convolutions and transformations appropriately. However, due to the complexity of the objects photographed on satellites, the out-of-phase of the same object may exhibit a fine feature diversity and a wide range of variations. Meanwhile, in the previous work, pure convolutional networks and Transformer networks that focus on local information perform better on non-local information. Therefore, current methods still have the problem of insufficient discrimination between irregular changes and diverse boundaries. Here, to solve this biphasic dilemma, we put forward a network that uses the difference information between bitemporal images as a guide to refine features. We use one feature map to subtract another and use multi-scale convolution to refine the difference map. We then designed an attention module similar to self-attention using differential information. In addition, considering the need for both local and global information in change detection, we use the full Swin Transformer framework with shift window self-attention to pass information between local areas. In addition, in order to enhance the network’s ability to recognize, members of our team reformulate supervised, traditional saliency map prediction through saliency and edge prediction. Notably, our proposed model significantly outperforms existing single-branch methods and state-of-the-art performance was achieved on four famous public datasets in terms of the F1-score index, interest in joint indices, and population indices.
Automating bird species classification: A deep learning approach with CNNs
Authors: Cai Renjun
Published: December 2023

Bird species identification and classification are challenging yet crucial for research and conservation. Traditional methods are labor-intensive, require specialized expertise, and can be prone to error. Recent advances in deep learning offer an automated solution to this complex problem. This study evaluates a convolutional neural network (CNN) model for classifying images of 525 bird species. The model employs transfer learning using the EfficientNetB0 architecture and was trained on over 84,000 images. With data augmentation, the model achieved 87% validation accuracy and 86.7% test accuracy, demonstrating its ability to overcome limited data and generalize well. Difficulties in obtaining balanced, high-quality data for each species were addressed through transfer learning and augmentation.
The Nicolai-map approach to supersymmetry
Authors: Lechtenfeld Olaf
Published: December 2023

In 1980 Hermann Nicolai proposed a characterization of supersymmetric theories that became known as the Nicolai map. This is a particular nonlocal and nonlinear field transformation, whose perturbative expansion is given by fermion-line trees with bosonic leaves. Quantum correlation functions can by evaluated using the inversely transformed fields in the free theory. After initial promise and excitement (fuelling the author’s PhD work!), the subject all but fell dormant for 35 years. Recently however, technical progress in the construction as well as a deeper insight into the nature of the map have been achieved, from quantum mechanics to super Yang–Mills in various dimensions. I will present the Nicolai map from this modern perspective and touch on some of the current developments.
Stable solitary vortices in two-dimensional quasi-integrable systems
Authors: Nakamula Atsushi , Obuse Kiori , Sawado Nobuyuki , Shimasaki Kohei , Toda Kouichi
Published: December 2023

Some solitary vortices to 2+1 quasi-integrable systems are discussed in the context of the planetary atmosphere. The Williams-Yamagata-Flierl (WYF) equation is one of the best candidates for the great red spot. We calculate the long-term simulation of the equation and find that the stable vortex is supported by a background zonal flow of a certain strength. The Zakharov-Kuznetsov (ZK) equation is a mimic of the WYF equation and considerably owes a great deal of its stability to the vortex. To learn more about the origin of longevity, we investigate the Painlevé test of the static ZK equation.
The Bethe Ansatz as a Quantum Circuit
Authors: Ruiz Roberto , Sopena Alejandro , Gordon Max Hunter , Sierra Germán , López Esperanza
Published: December 2023

The Bethe ansatz is an analytical method to solve exactly solvable models in quantum mechanics. It has been shown that the states of the Bethe ansatz can be prepared by a deterministic quantum circuit whose quantum gates were determined numerically. We report our progress in recasting the Bethe ansatz as a deterministic quantum circuit. We present the analytical expressions of the quantum gates. Formulae rely upon diagrammatic rules that define the wave functions of the Bethe ansatz by matrix product states. Based on the analytical expressions, we prove the unitarity of the quantum gates. We use our results to clarify on the equivalence between the coordinate and algebraic Bethe ansatze in light of matrix-product states.
Landau-Khalatnikov-Fradkin Gauge Transformations for the Propagator and Vertex in QED and QED2
Authors: Nicasio José , Bashir Adnan , Jentschura Ulrich D. , Edwards James P.
Published: December 2023

The non-perturbative Landau-Khalatnikov-Fradkin (LKF) transformations describe how Green functions in quantum field theory transform under a change in the photon field’s linear covariant gauge parameter (denoted ξ). The transformations are framed most simply in coordinate space where they are multiplicative. They imply that information on gauge-dependent contributions from higher order diagrams in the perturbative series is contained in lower order contributions, which is useful in multi-loop calculations. We study the LKF transformations for the propagator and the vertex in both scalar and spinor QED, in some particular dimensions. A novelty of our work is to derive momentum-space integral representations of these transformations; our expressions are also applicable to the longitudinal and transverse parts of the vertex. Applying these transformations to the tree-level Green functions, we show that the one-loop terms obtained from the LKF transformation agree with the gauge dependent parts obtained from perturbation theory. Our results will be presented in more comprehensive form elsewhere.
Supersymmetric Quantum Mechanics Formalism in a Modeling for Protein Folding
Authors: Drigo Filho E , Chahine J , Araujo M T , Ricotta R M
Published: December 2023

Recently, a mathematical method was developed to analyze the kinetics of the protein folding process, considering it as a diffusion process described by the Fokker-Planck equation and its solution, the time-dependent probability density. This work presents the main points of the methodology, based on the application of the algebraic formalism of Supersymmetric Quantum Mechanics associated with the variational method, to analyze the symmetric tri-stable free energy potential function that describes the unfolded and folded states, as well as an intermediate state of the protein.
Q-capacitor formulation of the ℂPN
nonlinear sigma model
Authors: Klimas P. , Kubaski L.C. , Sawado N. , Yanai S.
Published: December 2023

A multi-component ℂPN
model’s scalar electrodynamics is investigated. The model contains Q-balls/shells, which are non-topological compact solitons with time dependency eiωt
. Because of the compacton nature of solutions, Q-shells with another compact Q-ball or Q-shell inside their cavity can exist. Even if compactons do not overlap, they can interact with one another via the electromagnetic field. They look similar to the capacitor in the standard electromagnetism. We focus on the structure of such Q-capacitor with opposite charges.
Complex KdV rogue waves from gauge-Miura transformation
Authors: Adans Ysla F. , França Guilherme , Gomes José F. , Lobo Gabriel V. , Zimerman Abraham H.
Published: December 2023

The gauge-Miura correspondence establishes a map between the entire KdV and mKdV hierarchies, including positive and also negative flows, from which new relations besides the standard Miura transformation arise. We use this correspondence to classify solutions of the KdV hierarchy in terms of elementary tau functions of the mKdV hierarchy under both zero and nonzero vacua. We illustrate how interesting nonlinear phenomena can be described analytically from this construction, such as “rogue waves” of a complex KdV system that corresponds to a limit of a vector nonlinear Schrödinger equation.
Burge multipartitions and the AGT correspondence
Authors: Welsh Trevor A
Published: December 2023

Burge multipartitions are tuples of partitions that satisfy a cyclic embedding condition. When uncoloured, Burge m-multipartitions give a combinatorial model for characters of the Wm
algebras (W
2 is the Virasoro algebra). When n-coloured, they generalise the “cylindric partitions” that provide a combinatorial model (and a crystal graph) for integrable characters of the affine Lie algebra

s
l

^

(
n
)

.

Here, we show that the n-coloured Burge m-multipartitions yield the characters of the CFT cosets

g
l

^

(
d

)
m

/

g
l

^

(
d
−
n

)
m

. Having previously shown that the same combinatorial objects give the SU(m) instanton partition functions in 𝒩 = 2 supersymmetric gauge theories on ℂ2/ℤ
n
, we have thus established a wide-ranging extension of the AGT correspondence.

This talk is based on a collaboration with N.Macleod (Melbourne).
Noncommutative spacetimes versus noncommutative spaces of geodesics
Authors: Herranz Francisco J , Ballesteros Angel , Gubitosi Giulia , Gutierrez-Sagredo Ivan
Published: December 2023

The aim of this contribution is twofold. First, we show that when two (or more) different quantum groups share the same noncommutative spacetime, such an ‘ambiguity’ can be resolved by considering together their corresponding noncommutative spaces of geodesics. In any case, the latter play a mathematical/physical role by themselves and, in some cases, they can be interpreted as deformed phase spaces. Second, we explicitly show that noncommutative spacetimes can be reproduced from ‘extended’ noncommutative spaces of geodesics which are those enlarged by the time translation generator. These general ideas are described in detail for the κ-Poincaré and κ-Galilei algebras.
Lie 2-algebras of symmetries of U(1)-bundle gerbes
Authors: Krepski Derek
Published: December 2023

This is a brief survey of some recent results on infinitesimal symmetries of bundle gerbes and their relation to three Lie 2-algebras associated to manifolds equipped with a closed 3-form, such as 2-plectic manifolds: the Poisson Lie 2-algebra of local observables, the Lie 2-algebra of sections of an associated exact Courant algebroid, and the Atiyah Lie 2-algebra.
Exact solution for anisotropic Dirac materials interacting with position-dependent electric and magnetic fields
Authors: Mojica-Zárate J A , O-Campa D , Díaz-Bautista E
Published: December 2023

The interaction between massless Dirac fermions in anisotropic Dirac materials and position-dependent electric and magnetic fields is discussed here. The effect of the electric field strength in the energy spectrum and probability density of the eigenstates of the system is analyzed. Results show that the Landau levels are dispersive and the external electric field induces a collapse on them.
Integrable vortices on compact Riemann surfaces of genus one
Authors: Miyamoto K , Nakamula A
Published: December 2023

The Jackiw-Pi equation, which is one of the integrable vortex equations, is studied on a torus, a compact Riemann surface of genus one. The solutions are given in terms of doubly periodic functions, i.e., the elliptic functions. We reconsider the Jackiw-Pi vortex on a torus and provide the analytical method for determining the vortex number with explicit examples.
Liouville integrable binomial Hamiltonian system
Authors: Mullahasanoglu Mustafa
Published: December 2023

In this study, we work on a novel Hamiltonian system which is Liouville integrable. In the integrable Hamiltonian model, conserved currents can be represented as Binomial polynomials in which each order corresponds to the integral of motion of the system. From a mathematical point of view, the equations of motion can be written as integrable second-order nonlinear partial differential equations in 1 + 1 dimensions.
Yang-Baxter operators - constructions and applications
Authors: Kirschner R
Published: December 2023

We consider Yangians of gℓ(n) type, the L operators of Jordan-Schwinger form and corresponding Yang-Baxter relations. We discuss explicit forms of R operators and applications to Yangian symmetric correlators and operators of representation parameter permutations.
On polynomial symmetry algebras underlying superintegrable systems in Darboux spaces
Authors: Marquette Ian , Zhang Junze , Zhang Yao-Zhong
Published: December 2023

We review three different approaches to polynomial symmetry algebras underlying superintegrable systems in Darboux spaces. The first method consists of using deformed oscillator algebra to obtain finite-dimensional representations of quadratic algebras. This allow one to gain information on the spectrum of the superintegrable systems. The second method has similarities with the induced module construction approach in the context of Lie algebras and can be used to construct infinite dimensional representations of the symmetry algebras. Explicit construction of these representations is a non-trivial task due to the non-linearity of the polynomial algebras. This method allows the construction of states of the superintegrable systems beyond the reach of separation of variables. As a result, we are able to construct a large number of states in terms of Airy, Bessel and Whittaker functions which would be difficult to obtain in other ways. We also discuss the third approach which is based on the notion of commutants of subalgebras in the enveloping algebra of a Poisson algebra or a Lie algebra. This allows us to discover new superintegrable models in the Darboux spaces and to construct their integrals and symmetry algebras via polynomials in the enveloping algebras.
Quantum motion algebra
Authors: Pȩdrak A. , Góźdź A.
Published: December 2023

A notion of Quantum Motion Algebra (QMA) allows to construct quantum state spaces for various physical systems moving under a given group of motion. The main idea of QMA is a construction of a group algebra with involution generated by a group of motion G. After defining a linear and nonnegative functional on this algebra one can construct the appropriate quantum state space by means of the Gelfand-Naimark-Segal theorem. The QMA method can be also applied in the modeling of physical systems requiring additional degrees of freedom or additional constraints.

The presented paper gives a brief description of the QMA method. As an example of the QMA application, we present a model of nuclear collective pairing where the nonnegative functional is generated by a temperature dependent quantum density operator.
Dirac materials in parallel electromagnetic fields generated by supersymmetry
Authors: García-Muñoz Juan D , Pérez-Pedraza Julio Cesar , Raya A
Published: December 2023

In a Supersymetric Quantum Mechanics framework, the Dirac equation describing a Dirac material in the presence of electromagnetic fields is solved. Considering parallel static non-uniform electromagnetic fields, the Dirac equation is transformed into a two-dimensional system of equations. By means of variable separation, we can define one-dimensional eigenfunctions, which are solutions for two pairs of supersymmetric partner Schrödinger-like Hamiltonians. For Pöschl-Teller-like quantum potentials, we look for conditions that guarantee the existence of bound states, and determine an analytic zero-mode solution for the Dirac equation.
The Landau Problem and non-Classicality in Symplectic Carroll Symmetry
Authors: Petronilo G. X. A. , Ulhoa S.C. , Santana A. E.
Published: December 2023

Carroll’s group is shown as a group of transformations in a 5-dimensional space (𝒞) obtained from the embedding of the Euclidean space into a (4,1)-de Sitter space. Three of the five dimensions of 𝒞 are related to ℛ
3, and the other two to mass and time. A covariant formulation of Caroll’s group is established in phase space. The Landau problem was studied. Finally, the negative parameter of the Wigner function is calculated.
Variational Approach to Relativistic Fluid and Quantum Mechanics
Authors: Yahalom Asher
Published: December 2023

In previous papers we have shown how Schrödinger’s equation which includes an electromagnetic field interaction can be deduced from a fluid dynamical Lagrangian of a charged potential flow that interacts with an electromagnetic field. The quantum behaviour was derived from Fisher information terms which were added to the classical Lagrangian. It was thus shown that a quantum mechanical system is drived by information and not only electromagnetic fields.

This program was applied also to Pauli’s equations by removing the restriction of potential flow and using the Clebsch formalism. Although the analysis was quite successful there were still terms that did not admit interpretation, some of them can be easily traced to the relativistic Dirac theory. Here we repeat the analysis for a relativistic flow, pointing to a new approach for deriving relativistic quantum mechanics.
Classical conformal blocks, Coulomb gas integrals, and quantum integrable models
Authors: Pi¸atek Marcin R.
Published: December 2023

In this paper, we recall Richardson’s solution of the reduced BCS model, its relationship with the Gaudin model, and the known implementation of these models in conformal field theory. The CFT techniques applied here are based on the use of the free field realization, or more precisely, on the calculation of saddle-point values of Coulomb gas integrals representing certain (perturbed) WZW conformal blocks. We identify the saddle-point limit as the classical limit of conformal blocks. We show that this observation implies a new method for calculating classical conformal blocks and can be further used in the study of quantum integrable models.
Two-body Coulomb problem and hidden g
(2) algebra: superintegrability and cubic polynomial algebra
Authors: Turbiner Alexander V. , Escobar-Ruiz Adrian M.
Published: December 2023

It is shown that the two-body Coulomb problem in the Sturm representation leads to a new two-dimensional, exactly-solvable, superintegrable quantum system in curved space with a g
(2) hidden algebra and a cubic polynomial algebra of integrals. The two integrals are of orders two and four, they are made from two components of the angular momentum and from the modified Laplace-Runge-Lenz vector, respectively. It is demonstrated that the cubic polynomial algebra is an infinite-dimensional subalgebra of the universal enveloping algebra Ug

(2).
Algebraic and geometric reduction of multisymplectic manifolds
Authors: Blacker C A
Published: December 2023

In this talk, we discuss an extension of the Marsden–Weinstein–Meyers symplectic reduction theorem to multisymplectic manifolds, and an adaptation of the Śniatycki–Weinstein, Dirac and Arms–Gotay–Cushman Poisson algebra reduction theorems to L∞
-algebras of multisymplectic observables. This is based on joint work with A Miti and L Ryvkin.
Reconstructing Atiyah-Hitchin manifold in the generalized Legendre transform
Authors: Arai Masato , Baba Kurando , Ionaș Radu A.
Published: December 2023

We revisit the Atiyah-Hitchin manifold using the generalized Legendre transform approach. Originally it is examined by Ivanov and Roček, and it has been further explored by Ionaș, with a particular focus on calculating the explicit forms of the Kähler potential and the Kähler metric. Notably, there exists a distinction between the former study and the latter. In the framework of the generalized Legendre transform approach, a Kähler potential is formulated through the contour integration of a specific function with holomorphic coordinates. It’s essential to note that the choice of the contour in the latter differs from that in the former. This discrepancy in contour selection may result in variations in both the Kähler potential and, consequently, the Kähler metric. Our findings demonstrate that the former exclusively yields the real Kähler potential, aligning with its defined properties. In contrast, the latter produces a complex Kähler potential. We present the derivation of the Kähler potential and metric for the Atiyah-Hitchin manifold in terms of holomorphic coordinates, considering the contour specified by Ivanov and Roček.
Machine Learning Study through Physics-Informed Neural Networks: Analysis of the Stable Vortices in Quasi-Integrable Systems
Authors: Nakamula Atsushi , Obuse Kiori , Sawado Nobuyuki , Shimasaki Kohei , Toda Kouichi
Published: December 2023

Vortices in the nonlinear equations, including Zakharov-Kuznetsov (ZK) equation and the regularized long-wave (RLW) equation are studied. The Physics-Informed Neural Networks solve these equations in the forward process and obtain the solutions. In the inverse process, the proper equations can successfully be derived from a given training data. However, between the ZK equation and the RLW equation, sometimes serious misidentification occurs. In order to improve the resolution of the identification, we introduce two methods: a friction method and deformations of the initial profile which offers a nice discrimination of the equations.
Tunneling for a semi-classical magnetic Schrödinger operator with symmetries
Authors: Rouleux M
Published: December 2023

We are interested in decay estimates of the ground state (or the low energy eigenstates), outside the potential wells, for a semi-classical Magnetic Schrödinger operator with smooth coefficients PA
(x, hD

x
) = (hD

x
− µA(x))2 + V (x) on L
2(R

d
). We shall essentially consider the case where µ is large. This kind of estimates, in case of Schrödinger operator without a magnetic field, have been studied by Agmon [1], also in the case of a Riemannian manifold M. Agmon estimates hold true for any h, but are particularly useful in the limit h → 0 when studying tunneling.
Generalized time-dependent SIS Hamiltonian models: Exact solutions and quantum deformations
Authors: Fernández-Saiz Eduardo , Campoamor-Stursberg Rutwig , Herranz Francisco J
Published: December 2023

The theory of Lie–Hamilton systems is used to construct generalized time-dependent SIS epidemic Hamiltonians with a variable infection rate from the ‘book’ Lie algebra. Although these are characterized by a set of non-autonomous nonlinear and coupled differential equations, their corresponding exact solution is explicitly found. Moreover, the quantum deformation of the book algebra is also considered, from which the corresponding deformed SIS Hamiltonians are obtained and interpreted as perturbations in terms of the quantum deformation parameter of previously known SIS systems. The exact solutions for these deformed systems are also obtained.
A multi-objective segmentation scheduling method for the flexible dismantling of retired power batteries taking into account transfer time
Authors: Tian Peigen , Xiao Xi , Zhang Yi
Published: December 2023

Decommissioned power batteries are prone to dilapidated deformation, which makes it difficult to carry out unified and efficient production scheduling for disassembly production. In this paper, a multi-objective scheduling method applied to the dismantling workshop of retired power batteries is presented. For the characteristics of power battery dismantling, a strategy of scheduling by a battery pack and battery module in stages is proposed. The multi-objective optimal scheduling model of the dismantling workshop is established with the decision objectives of reducing the time of completion, energy dissipation and workstation load, taking into account the transfer time of batteries in the dismantling process, and is solved by genetic algorithm. The chromosome coding method, the crossover variation method and the elite retention strategy in the genetic algorithm were optimized. The method is applied to the dismantling examples of 5 kinds of power batteries, and the simulation results show that the proposed method is feasible and effective.
Structure design and implementation of a two-axis four-gimbal electro-optical pod
Authors: Zhang Haina , Xi Xiaopeng , Zhang Yong , Cui Ning , Liu Huanhuan
Published: December 2023

Multi-load, high stability and precision optoelectronic pods have become the development trend of pod technology applications. The two-axis four-gimbal electro-optical pod has the characteristics of high integration and stability. The research object of this project is a two-axis four-frame optoelectronic pod carried by helicopter. It can realize the transmission of active video and measurement control data through an airborne data chain. The system composition of the pod was introduced, and a mechanical structure model was established. To ensure rotational performance, a method for calculating the torque of the motor was provided, simulation of a main load-bearing structural part was conducted to ensure the structural strength. Finally, the stable accuracy was verified through testing. Design and analysis methods can provide some references for the design of two-axis four-frame pods.
A Study on Recorder Airworthiness Mechanical Properties of Airborne Data
Authors: Xu Xiaodong , Dai Zhehui , Zhu Jiechen , Wang Shumin , Bai Jun , Zhao Xiaoyu
Published: December 2023

Airborne data recorders were introduced, and the mechanical properties of airborne data recorders were investigated by using finite element analysis. Specifically, samples under static compression, transient impact, and random vibration were investigated, and a design of airborne data recorder that meets the requirements of airworthiness was proposed based on optimization. This study provides powerful technical support for general aviation safety development with the “combination of power management and delegation, with the main focus on power delegation”.
A data-driven UUV decision-making test strategy design method
Authors: Ma Chong , Zhang Haozheng
Published: December 2023

Based on the analysis of UUV control architecture and workflow, a data-driven test strategy design method was proposed to realize comprehensive online inspection of UUV, aiming at the requirements of full-process and full-function commissioning, system-level fault testing, single-step action of the actuator, software boundary testing, emergency control and fault-tolerant function verification of a certain UUV. At the same time, three types of typical faults of software, sensors and actuators are identified, and pseudo-random fault codes are injected into UUV control flow or information flow to realize the test verification of action continuity, function matching and control effectiveness under UUV operating conditions. The engineering application proves that the strategy has clear logic and comprehensive functional coverage, laying the foundation for improving UUV reliability and sailing safety.
The Design and Simulation of Engine Rotating Speed Modulation of Circuit
Authors: Li Xin , Wang Bo , Cui Mengying , Zhang Yue , Wei Chang , Qi Haijian
Published: December 2023

Since the amplitude and frequency of engine rotating speed signals are changed with the engine rotating speed, data cannot be directly collected due to the high-frequency noise. In this work, an engine rotating speed modulation of the circuit was designed. It was used to retain the complete information of positive and negative periods in signals and convert rotating speed signals to rectangular wave signals with certain amplitude at the same frequency, which could be directly collected. Further, in order to investigate the applicability of our design, a simulation test on the developed circuit based on Multisim was performed. This indicates that the raw signal with high-frequency interference, different amplitudes, and frequencies could be accurately and efficiently converted to regular rectangular wave signals. The design is characterized by a compact structure, low difficulty in device selection, high stability, and low power consumption, which is of extreme significance for accurate rotating speed data collection.
Online diagnosis of MVB termination fault based on expert system
Authors: Gong Haoran , Li Changxian , Sun Yijing
Published: December 2023

As a train communication technology, multifunction vehicle bus (MVB) plays a vital role in the transmission of control and monitoring data. However, the termination fault on MVB bus equipment often occurs, which leads to the increase of bit error rate and packet loss rate, and seriously affects the communication quality and stable operation of the train. The traditional off-line diagnosis method has poor timeliness. Therefore, this paper proposes and implements an online diagnosis method of MVB termination fault based on expert system. Firstly, the obtained physical waveform data is preprocessed, and then the waveform characteristics are extracted. Finally, the expert system algorithm is used for diagnosis, so as to quickly and accurately detect the MVB termination fault. The experimental platform was built for online fault diagnosis test. The experimental results show that the diagnosis method has high accuracy and reliability, which is conducive to improving the diagnosis efficiency.
Finite Element Analysis and Structural Optimization Research of New Energy Vehicle Battery Box
Authors: Yao Yini , Cheng Lin , Tao Yunlong
Published: December 2023

This study takes a new energy vehicle as the research object, establishing a three-dimensional model of the battery box based on CATIA software, importing it into ANSYS finite element software, defines its material properties, conducts grid division, and sets boundary conditions, and then conducts static and modal analysis to obtain the stress and deformation cloud maps of the battery box under three typical operating conditions, as well as the natural frequencies of the first 6 modes. Based on this, the ANSYS software’s topology optimization tool was utilized to successfully reduce the weight of the box by 6.8%. Following finite element analysis, the battery box’s performance satisfies the necessary standards in all aspects, demonstrating the viability of the lightweight solution.
Transmission Tower category Identification from Airborne LiDAR Point Clouds based on Shape Curve
Authors: Zhang Minghui , Su Xiao , Xu Huadong , Li Hongze , Wang Dexin
Published: December 2023

Using airborne LiDAR point cloud data to reconstruct the three-dimensional (3D) models of the transmission towers is crucial for ensuring power transmission safety. To enhance the models’ accuracy, knowing the tower categories is essential. However, there are few studies on the identification of tower categories at present. The existing studies have various shortcomings. Aiming at the problem of tower category identification in the application of airborne LiDAR point clouds in a smart grid, a transmission tower category identification method based on the shape curve is proposed. Firstly, a tower curve database is established based on relevant standards. Then, we employ three methods, namely dynamic time warping (DTW) distance, Hausdorff distance, and DTW-Hausdorff distance, to calculate the similarity indexes between the tower point cloud shape curves and those in the database. These indexes are used to determine the tower category. Finally, this method is tested using point clouds from transmission corridors. The experimental results show that the tower identification accuracy of DTW-Hausdorff distance is 94.0%. The tower category identification accuracy can reach 88.0%. The F-score used as the overall evaluation index of the tower identification effect is 90.9%. When employed as a similarity index, the tower identification effect is the best.
The Data Fusion and Semantic Segmentation Method Based on Multi-Sensor System
Authors: Huang Xiyao , Ouyang Yi , Yang Gang , Yu Mengxin , Li Ketao
Published: December 2023

The design and implementation of a prototype environmental perception system are introduced, which consists of the multi-camera, LiDAR, and IMU sensor. The processing steps of the environmental data collected by the multi-sensor platform include joint calibration, data fusion, and semantic segmentation. First, the optimization method based on the epipolar constraint is proposed for the joint calibration of the multi-camera and the LiDAR system. In the data fusion section, an improved data association method for the point cloud is proposed where the foreground segmentation method is used to reduce scale estimation error due to the scale-sudden-change. Finally, the semantic segmentation method based on the deep-learning is proposed. The convolutional neural network based on the Squeeze-and-Excitation Net is designed to identify and classify the point cloud data accurately. The physical simulation result shows that the system collects and identifies the environmental information accurately.