bluuebunny/crossref_metadata_2025_split huggingface dataset:
Laser processing characteristics of PCD tool and modeling analysis
Authors: Tan Ruiwang , Wang Xu , Yu Zhanjiang , Shi Guangfeng , Yang Shen , Li Yiquan , Xu Jinkai 
Published: April 2024

Abstract
Through in-depth analysis of the experimental details and forming patterns of the nanosecond laser ablation polycrystalline diamond (PCD) textured tool processing system, this study explores the microscopic morphology and dimensions of micro-pits texture on the surface of PCD tools influenced by defocus amount, laser power, and pulse frequency. Experimental results indicate that the micro-pit textures generated under different parameters exhibit diversity, including rounded structure, fragments, recast layers, and heat-affected zones. The diameter and depth of micro-pits are comprehensively affected by defocus amount, laser power, and pulse frequency, showing complex patterns. After a thorough analysis of the effects of each parameter on the texture morphology, an artificial neural network (ANN) model is introduced for the prediction of micro-pit dimensions. Through model training and optimization, accurate predictions of micro-pit diameter and depth are obtained. In comparison to traditional regression models, the ANN model demonstrates outstanding predictive performance, validating its applicability in complex machining processes. This study not only provides a profound understanding of the processing patterns of PCD textured tools but also offers an effective predictive model for the optimization and control of similar future machining processes.
Physical properties and maximum allowable mass-radius relation of complexity-free compact stellar objects within modified
gravity formalism*
Authors: Jasim M. K. , Maurya S. K. , Errehymy Abdelghani , Khalid Jassim Ali , Sooppy Nisar Kottakkaran , Abdel-Aty Abdel-Haleem 
Published: April 2024

Abstract
This paper investigates the physical properties and predicted radii of compact stars generated by the Tolman-IV complexity-free model within the background of modified gravity theory, particularly the

-gravity theory, under complexity formalism for a spherically symmetric spacetime proposed by L. Herrera [Phys Rev D 97: 044010, 2018]. By solving the resulting set of differential equations, we obtain the explicit forms of the energy-momentum (EM) tensor components, including the density, radial pressure, and tangential pressure. The influence of the parameter χ on various physical properties of the star is thoroughly investigated. The model undergoes a series of rigorous tests to determine its physical relevance. The findings indicate that the model exhibits regularity, stability, and a surface with vanishing pressure. The boundary of this surface is determined by carefully selecting the parameter space. The complexity method employed in

gravity offers an interesting approach for developing astrophysical models that are consistent with observable events as demonstrated by recent experiments. In this regard, we use observational data from the GW190814 event, detected by the LIGO and Virgo observatories, to investigate the validity of the Tolman-IV model in

gravity. The analysis includes comparing the model's predictions with the observed characteristics of the compact object involved in the merger. In addition, data from two-millisecond pulsars, PSR J1614-2230 and PSR J0952-0607, are incorporated to further constrain the theoretical theories. However, we present a diagram depicting the relationship between the total mass and radius of the compact object candidates for different values of χ.
Timing and Spectral Analysis of the Black Hole X-Ray Binary MAXI J1803-298 with Insight-HXMT Data
Authors: Xu Ying-Chen , Qu Jin-Lu , Méndez M. , Ma Rui-Can , Ji Long , Zhang Liang , Huang Yue , Bu Qing-Cui , Song Li-Ming 
Published: April 2024

Abstract
We present a comprehensive analysis of the 2021 outburst of MAXI J1803–298 utilizing observations of the Insight-Hard X-ray Modulation Telescope (Insight-HXMT) spanning from the low hard state to the high soft state. Within the Insight-HXMT data set, compared to the previous work, we identify a more prolonged presence of type-C quasi-periodic oscillations (QPOs) with centroid frequencies ranging from ∼0.16 to 6.3 Hz, which present correlations with the hardness ratio and the photon index of the Comptonized component. For QPO frequencies less than ∼2 Hz, the QPO phase lags are hard (photons of 10–19 keV arrive later than those of 1–4 keV), while at higher frequencies, the lags become soft at and above ∼4 Hz. Furthermore, the spectra in all Insight-HXMT observations consist of a multi-color blackbody component and a Comptonized component, as commonly observed in classical black hole X-ray binaries. We analyze state transitions and the evolution of accretion geometry in this work. The fitted inner disk radius increases abnormally during the low hard state, hypothesized to result from the corona condensing onto the inner disk. Additionally, two significant drops in flux are observed during the soft intermediate state, maybe implying changes in the corona/jet and the disk, respectively.
An LSTM-based adversarial variational autoencoder framework for self-supervised neural decoding of behavioral choices
Authors: Salsabilian Shiva , Lee Christian , Margolis David , Najafizadeh Laleh 
Published: April 2024

Abstract

Objective.This paper presents data-driven solutions to address two challenges in the problem of linking neural data and behavior: (1) unsupervised analysis of behavioral data and automatic label generation from behavioral observations, and (2) extraction of subject-invariant features for the development of generalized neural decoding models. Approach. For behavioral analysis and label generation, an unsupervised method, which employs an autoencoder to transform behavioral data into a cluster-friendly feature space is presented. The model iteratively refines the assigned clusters with soft clustering assignment loss, and gradually improves the learned feature representations. To address subject variability in decoding neural activity, adversarial learning in combination with a long short-term memory-based adversarial variational autoencoder (LSTM-AVAE) model is employed. By using an adversary network to constrain the latent representations, the model captures shared information among subjects’ neural activity, making it proper for cross-subject transfer learning. Main results. The proposed approach is evaluated using cortical recordings of Thy1-GCaMP6s transgenic mice obtained via widefield calcium imaging during a motivational licking behavioral experiment. The results show that the proposed model achieves an accuracy of 89.7% in cross-subject neural decoding, outperforming other well-known autoencoder-based feature learning models. These findings suggest that incorporating an adversary network eliminates subject dependency in representations, leading to improved cross-subject transfer learning performance, while also demonstrating the effectiveness of LSTM-based models in capturing the temporal dependencies within neural data. Significance. Results demonstrate the feasibility of the proposed framework in unsupervised clustering and label generation of behavioral data, as well as achieving high accuracy in cross-subject neural decoding, indicating its potentials for relating neural activity to behavior.
A causal perspective on brainwave modeling for brain–computer interfaces
Authors: Barmpas Konstantinos , Panagakis Yannis , Zoumpourlis Georgios , Adamos Dimitrios A , Laskaris Nikolaos , Zafeiriou Stefanos 
Published: April 2024

Abstract

Objective. Machine learning (ML) models have opened up enormous opportunities in the field of brain–computer Interfaces (BCIs). Despite their great success, they usually face severe limitations when they are employed in real-life applications outside a controlled laboratory setting. Approach. Mixing causal reasoning, identifying causal relationships between variables of interest, with brainwave modeling can change one’s viewpoint on some of these major challenges which can be found in various stages in the ML pipeline, ranging from data collection and data pre-processing to training methods and techniques. Main results. In this work, we employ causal reasoning and present a framework aiming to breakdown and analyze important challenges of brainwave modeling for BCIs. Significance. Furthermore, we present how general ML practices as well as brainwave-specific techniques can be utilized and solve some of these identified challenges. And finally, we discuss appropriate evaluation schemes in order to measure these techniques’ performance and efficiently compare them with other methods that will be developed in the future.
Lessons learned from European and Japanese production of ITER toroidal field coils
Authors: Hemmi T. , Bellesia B. , Hasegawa S. , Aprili P. , Bonito Oliva A. , Boter E. , Casas M. P. , Cornelis M. , Gomikawa K. , Harrison R. , Hernandez A. , Iguchi M. , Isono T. , Jimenez M. , Kajitani H. , Koczorowski S. , Koizumi N. , Lo Bue A. , Matsui K. , Nakahira M. , Nakamoto M. , Saito K. , Sakamoto K. , Sakurai T. , Shimizu T. , Suwa T. , Takano K. , Takebayashi K. , Tanaka N. , Tsutsumi F. , Uno Y. , Viladiu E. 
Published: April 2024

Abstract
In 2023, the manufacturing of all the ITER TF coils has been completed 15 years after the sign of procurement arrangements in 2008. This paper has been jointly submitted by F4E and QST to recollect the lessons learnt in the production of the two parties along the last 15 years.
Research on the Impact of Gas Flow Rate on Multiphase Flow Micro-jet Conformal Printing
Authors: Tao Zhu , Yuanming Zhang , Ziwen Wang , Shiyu Song 
Published: April 2024

Abstract
This study aims to explore the role of gas flow rate in multiphase flow micro-jet conformal printing and investigate its influence on the characteristic line width and morphology of printed conductive lines. A research methodology combining numerical simulation and experimental validation is employed. By simulating the movement trajectory of atomized droplets inside the micro-jet printhead during the multiphase flow micro-jet conformal printing process, the impact of focus ratio on the printing process and the printed conductive lines is studied using a controlled variable approach. Corresponding experiments are designed to validate the effects. The simulation and experimental results demonstrate that the characteristic line width of printed conductive lines gradually decreases as the focus ratio increases. At a focus ratio of 2.5, the characteristic line width of printed conductive lines can reach 93μm, without noticeable defects such as satellite droplets, deposition voids, or overspray. Gas flow rate significantly influences the characteristic line width and morphology of printed conduct conformal printing process. The consistency between simulation data and experimental results validates the feasibility of multiphase flow micro-jet conformal printing simulation, laying a foundation for further research in this field.
A Flexible Ultrasound Transducer Array Patch
Authors: Zhang Wenjie , Ma Tiancheng , Han Liuyang , Zhao Liuyan , Liu Jie , Dong Ying , Wang Xiaohao 
Published: April 2024

Abstract
Ultrasound is a non-destructive and safe testing technology that can be used for structural health monitoring and biomedical electronics. Current rigid probes have limitations such as difficulty in fitting to curved surfaces, heavy additional mass and large size, which make it difficult to be fully utilized in practical applications. To tackle this issue, an innovative flexible sensing technology has been developed, employing flexible materials such as flexible polymer substrates combined with a novel preparation process that allows the entire sensing network to be integrated onto the structure to be measured. This adaptable approach proves suitable for a diverse range of applications. In this work, a flexible ultrasound transducer array patch designed for attachment to curved surfaces for ultrasound detection is introduced. We proposed a simple fabrication process, and validate the device performance through software simulation and experimentation. The size of each transducer element is 2 mm × 2 mm × 0.6 mm and the overall size of the device is 28 mm × 28 mm × 0.9 mm, with an array of 3 × 4.
Research on particle separation microfluidic chip based on standing surface acoustic wave
Authors: Liu Jingyan , Yuan Renpeng , Wang Junqiang , Ma Yaming , Shang Zhengguo 
Published: April 2024

Abstract
Microparticle and cell separation is a key process in the study of cell properties, clinical diagnosis and disease treatment. In this paper, a particle separation method based on the combination of surface acoustic wave and microfluidic technology is proposed, which uses standing surface acoustic wave to achieve the separating of polystyrene microparticles of different sizes twice in a continuous flow. Through numerical simulation of the device model and particle trajectory simulation, the optimum particle separation parameters were determined. The particle separation microfluidic chip has successfully realized the particle separation. The separation yield of 5 μm particles is about 92.1%. The separation rate of 1 μm particles is about 83.3%.
Impacts of Electrode Resistance on Resonance Characteristics of Film Bulk Acoustic Resonators
Authors: Lu Yuwen , Chen Cong , Zhang Jie , Bai Libing , Zhou Quan , Tian Lulu 
Published: April 2024

Abstract
In the actual manufacturing process of film bulk acoustic resonators (FBAR), metal leads are necessary to complete the electrical topological connection. However, the electrode resistance will significantly influence the characteristics of the resonator. In this paper, the influence of electrode resistance on resonance characteristics of FBAR is analyzed. To be specific, how different electrode resistances affect the quality factor, impedance value, and electromechanical coupling factor of the FBAR series-parallel resonance frequencies is studied by incorporating the electrode resistances into an overall equivalent electromechanical model (i.e., the Mason model) and the COMSOL finite element simulation method. The results show that the increase of electrode resistance will result in the decrease of the series resonant frequency, the impedance value increases significantly and the quality factor decreases significantly at series resonant, while the parallel resonant frequency does not change, the impedance value slightly increases and the quality factor slightly decreases at parallel resonant, and their electromechanical coupling factor slightly increases.
Design and process of force-electric fusion for electromagnetic driven Si based MEMS S&A
Authors: Lv Sining , Feng Hengzhen , Lou Wenzhong , Xiao Chuan , Kan Wenxing , Su Wenting , Wang Jinkui , Ji Tongan 
Published: April 2024

Abstract
In order to meet the technical requirements for precise control of the arming time in high-dynamic environments and ammunition safety, this article proposes a silicon-based MEMS safety system force-electric fusion design scheme for small-caliber ammunition platforms. Modeling and computational analysis are conducted on the sensitive units in S&A. A mechanical equilibrium model is established to study the centrifugal overload and electromagnetic forces, followed by verification through dynamic simulation. The design aimed to achieve the safety and arming control of the MEMS security system using a plate-type electromagnetic driving scheme. A low driving energy electromagnetic coil model is designed, and the driving capability of the electromagnetic coil is analyzed. It is found that under the condition of a distance of 0.1mm and 8V, a driving force of 270mN could be achieved. Considering the complex operating conditions during the arming process, a low damping model is developed for the arming degree of the MEMS arming device. After the design is completed, the S&A and electromagnetic coils are processed and prepared using deep silicon etching and microcasting techniques. Finally, threshold verification is conducted for the recoil and centrifugal arming mechanisms of the S&A. The designed S&A ultimately achieved a size of less than or equal to ∅20mm.
An Ultra-low Thermal Sensitivity Drift Piezoresistive Pressure Sensor Compensated by Passive Resistor/Thermistor Network
Authors: Meng Qinggang , Wang Junbo , Chen Deyong , Chen Jian , Xie Bo , Lu Yulan 
Published: April 2024

Abstract
This paper presents a piezoresistive pressure sensor that exhibits extremely low thermal sensitivity drift across a broad range of temperatures, which integrates a passive resistor/thermistor network for compensation. Standard microfabrication processes were conducted to fabricate the sensor chip. From the experimental results, the proposed sensor demonstrated an extremely low thermal sensitivity drift of 0.01% FS/°C within temperature range of -55 °C to 85 °C, which is a significant improvement compared with the sensor with no temperature compensation (0.17% FS/°C) and the sensor with conventional temperature compensation (0.09% FS/°C). The compensation method developed in this study has the potential to serve as a facilitating instrument in pressure measurements with large temperature variations.
Design of a multi-physics coupling MEMS pressure sensor
Authors: Sun Jing , Zhang Guodong , Zhao Yulong 
Published: April 2024

Abstract
The pressure measurement of explosion shock wave puts forward high requirements on the temperature resistance and response speed of the sensor. In this paper, a multi-physics coupling pressure sensor is designed to meet requirements. The sensor mainly consists of a Fabry-Perot cavity optical fiber sensing unit, a piezoelectric pressure sensing unit and a thermometric resistance temperature measurement module. Firstly, the structure of the sensor is designed. The top and bottom surfaces of the Fabry-Perot cavity are composed of a silicon diaphragm and a quartz glass. The piezoelectric pressure sensing unit is an AlN film including its electrodes. Pt thermometric resistance is developed to realize real-time temperature monitoring. Secondly, the fabrication process of the sensor is discussed, especially three key technologies. An Al film is sputtered to increase the reflectivity of the quartz glass. The SU-8 photoresist is applied to accurately control the thickness of Fabry-Perot cavity. Etching is adopted to work out the graphics of the AlN piezoelectric film. At last, a complete fabrication process of the sensor is described. The fabrication of multilayer films begins with a double-sided polishing silicon wafer, while Fabry-Perot cavity was from a double-sided polishing quartz glass. Then two parts of the sensor are combined to ensure the multi-physics coupling sensor to achieve complete function.
Research on pyroelectric enhancement mechanism of PZT thin films and optimization design of infrared detectors
Authors: Ci Guangteng , Zhao Yongmin , Li Tao , Zhang Congchun , Wei Feng , Ming Anjie , Mao Changhui 
Published: April 2024

Abstract
In this paper, the PZT10/90 thin film was successfully deposited on the Pt/TiO2/SiO2/Si substrate using RF magnetron sputtering, and the dielectric and pyroelectric properties of the thin film were measured and characterized. The measurements show that the dielectric constant of the PZT10/90 thin film is further reduced compared to the previously reported PZT30/70 thin films, which is beneficial for improving the figure of merit of the PZT. The dielectric constant and loss tangent of the PZT10/90 thin film are 173 and 0.016 at 1kHz and the pyroelectric coefficient of the thin film is 20 nC·cm-2·K-1 at room temperature. In addition, a pyroelectric infrared detector based on the PZT thin film was designed, a feasible detector fabrication process was proposed, and the structure of the pyroelectric infrared detector was optimized using simulation software based on the finite element method. The developed infrared detector has promising applications in the fields of spectroscopic instruments and smart seekers.
A Miniaturized Electrochemical Angular Accelerometer with the Integration of Microelectrodes and Channel
Authors: Zhu Maoqi , Wang Junbo , Chen Deyong , Chen Jian , Lu Yulan 
Published: April 2024

Abstract
This paper reports a miniaturized electrochemical angular accelerometer with the integration of planar microelectrodes and toroid channel. Specifically, the proposed sensor adopted a three-layer bonding structure of glass-silicon-glass in preference to manual mechanical compression structure, which reduced the device size and simplified the assembly processes. The anodic bonding technology was used as a packaging method, which realized the chip-level package of MEMS electrochemical angular accelerometer for the first time and solved the problem of cathode outlet. From the experimental results, it has the characteristics of larger measurement range (up to 3.5rad/s2) and lower noise level (-144dB@1Hz), which is a significant improvement compared with the previously reported counterparts. A novel approach for the production of electrochemical angular accelerometers is presented in this study, which could be utilized for rotational seismic measurement with large angle variations.
A novel halide hybrid white light emitter with remarkable structural and emission stability
Authors: Song Gaomin , Wang Zhen , Fu Xiaotian , He Xianmeng , Lin Zheshuai 
Published: April 2024

AbstractAddressing the issues of self-absorption effect among different components in traditional white light-emitting diodes (WLEDs) and the high cost associated with rare earth elements, we propose the potential utility of zero-dimensional organic–inorganic metal halide hybrids (0D OIMHs) in white WLEDs fabrication. In this study, we synthesized a novel 0D OIMH, (C5N2H14)ZnCl4, characterized by broadband white light emission. The (C5N2H14)ZnCl4crystal features a short ultraviolet cutoff situated at 190 nm and emits cold white light with a Color Rendering Index (CRI) of 73 under an excitation wavelength of 260 nm. Furthermore, (C5N2H14)ZnCl4demonstrates exceptional structural and emission stability in an air atmosphere over a span of three months.
Quantized Weyl algebras, the double centralizer property, and a new first fundamental theorem for
Uq(gln)
Authors: Letzter Gail , Sahi Siddhartha , Salmasian Hadi 
Published: April 2024

Abstract
Let

P

:=

P

m
×
n

denote the quantized coordinate ring of the space of m × n matrices, equipped with natural actions of the quantized enveloping algebras

U
q

(

gl

m

)

and

U
q

(

gl

n

)

. Let

L

and

R

denote the images of

U
q

(

gl

m

)

and

U
q

(

gl

n

)

in

End

(

P

)

, respectively. We define a q-analogue of the algebra of polynomial-coefficient differential operators inside

End

(

P

)

, henceforth denoted by

P

D

, and we prove that

L

∩

P

D

and

R

∩

P

D

are mutual centralizers inside

P

D

. Using this, we establish a new First Fundamental theorem of invariant theory for

U
q

(

gl

n

)

. We also compute explicit formulas in terms of q-determinants for generators of the algebras

L

h

∩

P

D

and

R

h

∩

P

D

, where

L

h

and

R

h

denote the images of the Cartan subalgebras of

U
q

(

gl

m

)

and

U
q

(

gl

n

)

in

End

(

P

)

, respectively. Our algebra

P

D

and the algebra

Pol

(

Mat

m
,
n

)

q

that is defined in (Shklyarov et al 2004 Int. J. Math.
15 855–94) are related by extension of scalars, but we give a new construction of

P

D

using deformed twisted tensor products.