jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: ANTÔNIO MATHEUS LIMA BEZERRA | DOMINGOS FABIANO SANTANA DE SOUZA | CARLOS EDUARDO DE ARAÚJO PADILHA | JACKSON ARAJO DE OLIVEIRA | OSVALDO CHIAVONE-FILHO
Source:  (article, 2024-01-01)
Field: Chemistry — Organic Chemistry

MODELAGEM DA SOLUBILIDADE DE CO2 EM SOLUÇÕES AQUOSAS DE MONOETANOLAMINA VIA MLP-ANN E KNN A captura de dixido de carbono crucial para cumprir acordos climticos internacionais e mitigar o aquecimento global.A tecnologia consolidada de absoro por solues aquosas de alcanolaminas amplamente usada na indstria de petrleo e gs para sequestrar CO2 de correntes gasosas.O clculo preciso da solubilidade de CO2 nessas solues essencial para o sucesso dos processos de captura de carbono.Neste estudo, dados experimentais para a captura de dixido de carbono por solues aquosas de MEA foram coletados, modelando a solubilidade por meio de algoritmos de aprendizado de mquina supervisionado: KNN e MLP-ANN.Os resultados dos dois modelos apresentados foram comparados Chemistry Inorganic and Organometallic Chemistry ; Chemistry and Chemical Engineering ; Electrochemical sensors and biosensors
Authors: ANTÔNIO MATHEUS LIMA BEZERRA | DOMINGOS FABIANO SANTANA DE SOUZA | CARLOS EDUARDO DE ARAÚJO PADILHA | JACKSON ARAJO DE OLIVEIRA | OSVALDO CHIAVONE-FILHO
Source:  (article, 2024-01-01)
Field: Chemistry — Organic Chemistry

MODELAGEM DA SOLUBILIDADE DE CO2 EM SOLUÇÕES AQUOSAS DE MONOETANOLAMINA VIA MLP-ANN E KNN A captura de dixido de carbono crucial para cumprir acordos climticos internacionais e mitigar o aquecimento global.A tecnologia consolidada de absoro por solues aquosas de alcanolaminas amplamente usada na indstria de petrleo e gs para sequestrar CO2 de correntes gasosas.O clculo preciso da solubilidade de CO2 nessas solues essencial para o sucesso dos processos de captura de carbono.Neste estudo, dados experimentais para a captura de dixido de carbono por solues aquosas de MEA foram coletados, modelando a solubilidade por meio de algoritmos de aprendizado de mquina supervisionado: KNN e MLP-ANN.Os resultados dos dois modelos apresentados foram comparados Physics Inorganic and Organometallic Chemistry ; Chemistry and Chemical Engineering ; Electrochemical sensors and biosensors
Authors: Catie LeDesma | Kendall Mehling | John Drew Wilson | Marco M. Nicotra | Murray Holland
Source: arXiv (Cornell University) (preprint, 2024-10-22)
Field: Materials Science — Materials Chemistry

Universal Gate Set for Optical Lattice Based Atom Interferometry In this paper, we propose a new paradigm for atom interferometry and demonstrate that there exists a universal set of atom optic components for inertial sensing. These components constitute gates with which we carry out quantum operations and represent input-output matterwave transformations between lattice eigenstates. Each gate is associated with a modulation pattern of the position of the optical lattice according to machine-designed protocols. In this methodology, a sensor can be reprogrammed to respond to an evolving set of design priorities without modifying the hardware. We assert that such a gate set is metrologically universal, in analogy to universal gate sets for quantum computing. Experimental confirmation of the designed operation is demonstrated via in situ imaging of the spatial evolution of a Bose-Einstein condensate in an optical lattice, and by measurement of the momentum probabilities following time-of-flight expansion. The representation of several basic quantum sensing circuits is presented for the measurement of inertial forces, rotating reference frames, and gravity gradients. Interferometry ; Optical lattice ; Atom (system on chip) ; Lattice (music) ; Atom interferometer ; Set (abstract data type) ; Physics ; Universal set ; Computer science ; Condensed matter physics ; Optics ; Astronomical interferometer ; Embedded system ; Programming language Electronic and Structural Properties of Oxides ; Advanced Materials Characterization Techniques ; Cold Atom Physics and Bose-Einstein Condensates
Authors: Julia Bandura | Calvin Chan | Hong‐Shuo Sun | Aaron R. Wheeler | Zhong‐Ping Feng
Source: Journal of Proteome Research (article, 2024-12-10)
Field: Chemistry — Spectroscopy

Distinct Proteomic Brain States Underlying Long-Term Memory Formation in Aversive Operant Conditioning Long-term memory (LTM) formation relies on <i>de novo</i> protein synthesis; however, the full complement of proteins crucial to LTM formation remains unknown in any system. Using an aversive operant conditioning model of aerial respiratory behavior in the pond snail mollusk, <i>Lymnaea stagnalis</i> (<i>L. stagnalis</i>), we conducted a transcriptome-guided proteomic analysis on the central nervous system (CNS) of LTM, no LTM, and control animals. We identified 366 differentially expressed proteins linked to LTM formation, with 88 upregulated and 36 downregulated in LTM compared to both no LTM and controls. Functional annotation highlighted the importance of balancing protein synthesis and degradation for LTM, as indicated by the upregulation of proteins involved in proteasome activity and translation initiation, including EIF2D, mRNA levels of which were confirmed to be upregulated by conditioning and implicated nuclear factor Y as a potential regulator of LTM-related transcription in this model. This study represents the first transcriptome-guided proteomic analysis of LTM formation ability in this model and lays the groundwork for discovering orthologous proteins critical to LTM in mammals. Operant conditioning ; Neuroscience ; Term (time) ; Conditioning ; Long-term memory ; Memory formation ; Short-term memory ; Psychology ; Working memory ; Reinforcement ; Hippocampus ; Physics ; Cognition ; Mathematics Advanced Proteomics Techniques and Applications ; Receptor Mechanisms and Signaling ; Bioinformatics and Genomic Networks
Authors: Ntambwe Albert Serge Mayombo | Lisa Haverbeck | Mimoza Dani | Michael Kloster | Danijela Vidakovic | Bánk Beszteri | Andrea M. Burfeid-Castellanos
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2024-07-05)
Field: Materials Science — Biomaterials

Characterization of diatom communities in restored sewage channels in the Boye catchment, Germany Abstract Restoration programs were initiated in different stream systems within the Boye catchment in the early 1990s to stop and reverse the negative impacts of anthropogenic disturbances. However, our knowledge of the effects of restoration works in this river network, specifically on benthic diatom communities, is still limited. Diatoms were used successfully to assess the impact of restoration works in a range of river networks around the world but received less attention in the Boye catchment. This study aimed to characterize benthic diatom communities in this restored river catchment, using digital microscopy methods. We collected samples in the spring and summer of 2020 at sites restored in different years (1995, 2005, 2010, 2012, and 2013) within the catchment. Our results showed no effect of season, restoration date (year), and location of the site along the streams on the most dominant diatom species. However, some rare taxa indicated significant variations between the seasons. Overall water quality in the streams ranged from moderate to very good, indicating the positive impacts of restoration works conducted in these former sewage channels. Diatom ; Characterization (materials science) ; Catchment area ; Drainage basin ; Sewage ; Environmental science ; Hydrology (agriculture) ; Geography ; Water resource management ; Geology ; Oceanography ; Environmental engineering ; Materials science ; Cartography ; Geotechnical engineering Diatoms and Algae Research ; Wastewater Treatment and Nitrogen Removal ; Environmental Science and Water Management
Authors: Tommy Löfstedt
Source: Computational Statistics (article, 2024-09-12)
Field: Chemistry — Analytical Chemistry

Using the Krylov subspace formulation to improve regularisation and interpretation in partial least squares regression Abstract Partial least squares regression (PLS-R) has been an important regression method in the life sciences and many other fields for decades. However, PLS-R is typically solved using an opaque algorithmic approach, rather than through an optimisation formulation and procedure. There is a clear optimisation formulation of the PLS-R problem based on a Krylov subspace formulation, but it is only rarely considered. The popularity of PLS-R is attributed to the ability to interpret the data through the model components, but the model components are not available when solving the PLS-R problem using the Krylov subspace formulation. We therefore highlight a simple reformulation of the PLS-R problem using the Krylov subspace formulation as a promising modelling framework for PLS-R, and illustrate one of the main benefits of this reformulation—that it allows arbitrary penalties of the regression coefficients in the PLS-R model. Further, we propose an approach to estimate the PLS-R model components for the solution found through the Krylov subspace formulation, that are those we would have obtained had we been able to use the common algorithms for estimating the PLS-R model. We illustrate the utility of the proposed method on simulated and real data. Krylov subspace ; Partial least squares regression ; Applied mathematics ; Mathematics ; Total least squares ; Interpretation (philosophy) ; Regression ; Least-squares function approximation ; Regression analysis ; Subspace topology ; Statistics ; Econometrics ; Mathematical optimization ; Computer science ; Mathematical analysis ; Iterative method Spectroscopy and Chemometric Analyses ; Statistical and numerical algorithms ; Neural Networks and Applications
Authors: Onur Yuksel | Robin Hartley | Guillaume Broggi | Vincent K. Maes | Silvia Gomarasca | Théo Baumard | Adrien Le Reun | Arthur Lévy | Clemens Dransfeld | Baris Caglard | James Kratz
Source: SPIRE - Sciences Po Institutional REpository (article, 2024-07-02)
Field: Materials Science — General Materials Science

Microstructural analysis of unidirectional composites: a comparison of data reduction schemes International audience Reduction (mathematics) ; Composite material ; Materials science ; Data reduction ; Computer science ; Mathematics ; Geometry ; Data mining Material Properties and Applications ; Composite Material Mechanics
Authors: Yong Liu | Y. Chen | Shi Li | Xuehong Wu | Cai Lv
Source: Thermal Science (article, 2024-12-30)
Field: Materials Science — Ceramics and Composites

Numerical study on effective thermal conductivity of 3-D fine-knitted perforated C/SiC composite materials The C/SiC composite materials have the advantages of high temperature resistance, low expansion, and excellent thermal stability, and are widely used in aerospace, military, energy and other fields. The thermal conductivity of C/SiC composite materials is an important characteristic to ensure the stable operation of thermal protection structures in high temperature environments. In order to investigate the effects of carbon fiber volume fraction and yarn porosity on the effective thermal conductivity of composite materials, a 3-D fine-knitted perforated C/SiC (3DP C/SiC) composite materials cell model was established. The in-plane and out of plane thermal conductivity of the composite materials were calculated. The results indicate that the out of plane thermal conductivity is smaller than the in plane thermal conductivity. The difference between in-plane thermal conductivity and out of plane thermal conductivity decreases as the external porosity of the yarn increases. Additionally, the influence of carbon fiber volume fraction and yarn porosity on the effective thermal conductivity of composite materials was numerically studied. The results indicate that as the volume fraction of carbon fiber and the porosity inside and outside the yarn increase, the in-plane and out of plane thermal conductivity of the composite materials both decrease. In addition, the effective thermal conductivity of 3DP C/SiC composite considering the pores in the yarn is lower than that without considering the pores in the yarn. Materials science ; Thermal conductivity ; Composite material ; Composite number ; Thermal ; Physics ; Thermodynamics Advanced ceramic materials synthesis ; Thermal properties of materials ; Aluminum Alloys Composites Properties
Authors: D. V. Styazhkin | С. В. Колесов | В. З. Мингалеев
Source:  (article, 2024-12-11)
Field: Chemistry — Organic Chemistry

CIS-STEREOREGULAR POLYISOPRENE OBTAINED UNDER THE ACTION OF A GADOLINIUM CATALYST 3D building printing connecting with artificial intellect can help to build house on the base of virtual modeling constrictions.3D modeling is producing froth the archive of existing buildings norms, principals and projects. The process connected with rules and dynamics of financial and insurants companies. Government can redistribute new buildings by universal basic income programs in cooperation with local administrations.3D printer connects with AI for 3d building models.One engineer operate 3d printer with the help of minimum local workers and logistics, how control delivery of water, send, cement and gravel from local suppliers to the construction site. Rich country can enforce their financial groups by integration smart building with smart contracts and financial markets process. Municipal authority can rule the city with clear understanding of monetary costs for every decision and see all parts involving in the process of transformation cities environment on the way of reduction in urban pollution.Middle level country can solve the problem of uncontrolled supply and demand for real-estate regional markets and growth of slums in cities.It can be connected with migrations levels and international float of migrants' salaries transfers.Smart building industry for agricultural regions allow people fast repair and build their houses after climate, ground cracking and war shocks in conditions of bad roads and lack of building engineers.It can be done with the help of international financial groups and international aids. Gadolinium ; Catalysis ; Action (physics) ; Materials science ; Chemistry ; Polymer chemistry ; Chemical engineering ; Organic chemistry ; Physics ; Engineering Inorganic and Organometallic Chemistry ; Organometallic Complex Synthesis and Catalysis ; Zeolite Catalysis and Synthesis
Authors: Busheng Luo | Yang Wen-fang | Zhenxin Zhong
Source: Journal of Physics Conference Series (article, 2024-11-01)
Field: Materials Science — Materials Chemistry

Non-contact fault detection of overhead insulators in distribution networks based on sound and light collaboration Abstract Due to the low detection accuracy of traditional non-contact fault detection methods for overhead insulators in distribution networks, a non-contact fault detection method is proposed for overhead insulators in distribution networks based on sound and light collaboration. This method first uses an acoustic and optical signal acquisition device to capture insulators’ acoustic and optical signals during operation, and preprocesses the collected data to remove noise and improve signal clarity. Next, key fault features are extracted from these signals, such as the analysis of the acoustic frequency spectrum and the identification of spectral features, which help distinguish insulators’ normal working and fault states. Finally, the extracted features are classified using the support vector machine algorithm to achieve non-contact fault detection of overhead insulators in the distribution network. The experimental results show that this method can accurately and quickly detect the faults of overhead insulators in the distribution network, with high detection accuracy and practicality, providing strong technical support for the safe operation of the distribution network. Overhead (engineering) ; Sound (geography) ; Fault (geology) ; Computer science ; Fault detection and isolation ; Acoustics ; Engineering ; Electrical engineering ; Physics ; Seismology ; Geology High voltage insulation and dielectric phenomena ; Advanced Fiber Optic Sensors ; Infrastructure Maintenance and Monitoring
Authors: Hong Liang | Wai Chun Wong | Tailin An | Jensen Li
Source: arXiv (Cornell University) (preprint, 2024-08-20)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Metasurface-enabled quantum holograms with hybrid entanglement Metasurfaces, with their capability to control all possible dimensions of light, have become integral to quantum optical applications, including quantum state generation, operation, and tomography. In this work, we utilize a metasurface to generate polarization-hologram hybrid entanglement between a signal-idler photon pair to construct a quantum hologram. The properties of the quantum hologram can be revealed by collapsing the polarization degree of freedom of the idler photon, inducing interference between two holographic states of the signal photon, as a meaningful and selective erasure of the holographic content. In contrary, interference disappears when the idler photon is detected without observing polarization. This process can be further interpreted as a quantum holographic eraser, where the erasing action is visualized with erased contents in holograms. Our construction of polarization-hologram hybrid entangled state with metasurfaces will be useful for quantum communication with enhanced robustness, anti-counterfeiting applications through the additional quantum degrees of freedom, and as an emerging platform for exploring fundamental quantum concepts for entanglement and non-locality. Quantum entanglement ; Holography ; Quantum ; Computer science ; Physics ; Optoelectronics ; Optics ; Quantum mechanics Metamaterials and Metasurfaces Applications ; Quantum Information and Cryptography ; Orbital Angular Momentum in Optics
Authors: Tao Du | Yuanzheng Yue | Morten M. Smedskjær
Source: VBN Forskningsportal (Aalborg Universitet) (article, 2024-10-30)
Field: Materials Science — Ceramics and Composites

Deciphering the structure descriptors governing the mechanical properties of zeolitic imidazolate framework glasses:Invited Talk Zeolitic imidazolate framework ; Imidazolate ; Materials science ; Nanotechnology ; Chemistry ; Physical chemistry ; Metal-organic framework ; Inorganic chemistry ; Adsorption Glass properties and applications ; Pigment Synthesis and Properties ; Clay minerals and soil interactions
Authors: Pit Bermes | Annabelle Bohrdt | Fabian Grusdt
Source: arXiv (Cornell University) (preprint, 2024-01-31)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Magnetic polarons beyond linear spin-wave theory: Mesons dressed by magnons When a mobile hole is doped into an antiferromagnet, its movement will distort the surrounding magnetic order and yield a magnetic polaron. The resulting complex interplay of spin and charge degrees of freedom gives rise to very rich physics and is widely believed to be at the heart of high-temperature superconductivity in cuprates. In this paper, we develop a quantitative theoretical formalism, based on the phenomenological parton description, to describe magnetic polarons in the strong coupling regime. We construct an effective Hamiltonian with weak coupling to the spin-wave excitations in the background, making the use of standard polaronic methods possible. Our starting point is a single hole doped into an AFM described by a 'geometric string' capturing the strongly correlated hopping processes of charge and spin degrees of freedom, beyond linear spin-wave approximation. Subsequently, we introduce magnon excitations through a generalized 1/S expansion and derive an effective coupling of these spin-waves to the hole plus the string (the meson) to arrive at an effective polaron Hamiltonian with density-density type interactions. After making a Born-Oppenheimer-type approximation, this system is solved using the self-consistent Born approximation to extract the renormalized polaron properties. We apply our formalism (i) to calculate beyond linear spin-wave ARPES spectra, (ii) to reveal the interplay of ro-vibrational meson excitations, and (ii) to analyze the pseudogap expected at low doping. Moreover, our work paves the way for exploring magnetic polarons out-of equilibrium or in frustrated systems, where weak-coupling approaches are desirable and going beyond linear spin-wave theory becomes necessary. Magnon ; Polaron ; Meson ; Physics ; Spin wave ; Spin (aerodynamics) ; Quantum electrodynamics ; Condensed matter physics ; Quantum mechanics ; Particle physics ; Ferromagnetism Magnetic and transport properties of perovskites and related materials ; Magnetic properties of thin films ; Magnetic Properties of Alloys
Authors: Francesca Fernandes | Matilde Marcolli
Source: arXiv (Cornell University) (preprint, 2024-05-21)
Field: Materials Science — Materials Chemistry

Formal languages, spin systems, and quasicrystals We present a categorical formalism for context-free languages with morphisms given by correspondences obtained from rational transductions. We show that D0L-systems are a special case of the correspondences that define morphisms in this category. We construct a functorial mapping to aperiodic spin chains. We then generalize this construction to a class of mildly context sensitive grammars, the multiple-context-free grammars (MCFG), with a similar functorial mapping to spin systems in higher dimensions, with Boltzmann weights describing interacting spins on vertices of hypercubes. We show that a particular motivating example for this general construction is provided by the Korepin completely integrable model on the icosahedral quasicrystal, which we construct as the spin system associated to a multiple-context-free grammar describing the geometry of the Ammann planes quasilattice. We review the main properties of this spin system, including solvability, bulk free energy, and criticality, based on results of Baxter and the known relation to the Zamolodchikov tetrahedron equation. We show that the latter has a generalization for the Boltzmannweights on hypercubes of the spin systems associated to more general MCFGs in terms of two dual cubulations of the n-simplex. We formulate analogous questions about bulk free energy and criticality for our construction of spin systems. Quasicrystal ; Spin (aerodynamics) ; Theoretical physics ; Physics ; Condensed matter physics Quasicrystal Structures and Properties
Authors: Javier Ramón Sotomayor Castellanos | Isarael Macedo Alquicira
Source: Revista de Ciencias Tecnológicas (article, 2024-07-09)
Field: Materials Science — Polymers and Plastics

Determinación de las propiedades de higroexpansión de tableros compuestos a base de madera Los tableros de madera se expanden cuando están expuestos a la humedad en condiciones de servicio. En consecuencia, su funcionamiento como material de ingeniería empobrece y ocasiona costos de reparación y/o remplazo. El objetivo de la investigación fue determinar las densidades y las higroexpansiones de tableros contrachapados, enlistonados, de densidad media y de astillas orientadas de madera. Se evaluaron los mismos parámetros en un grupo de control de madera sólida de Pinus pseudostrobus. De cada material se prepararon 35 probetas seleccionadas al azar. Se realizaron pruebas de higroscopía con un protocolo de humidificación y secado del material experimental. Las higroexpansiónes de los tableros contrachapados, enlistonados, de densidad media y de astillas orientadas son diferentes en comparación con la higroexpansión de la madera sólida de P. pseudostrobus. La madera y los tableros de madera presentan un carácter higroscópico, el cual resulta en una variación dimensional si su contenido de humedad se modifica. Las magnitudes de las higroexpansiones de los cuatro tableros estudiados son mayores a la correspondiente a la madera sólida de P. pseudostrobus. Humanities ; Art Natural Fiber Reinforced Composites ; Wood Treatment and Properties ; Textile materials and evaluations