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SSRN 2023年

作者： Sahu, Bibhu P. Walker, Christopher C. Pharr, George m. misra, Amit Department of Materials Science and Engineering University of Michigan Ann ArborMI48109 United States Department of Materials Science & Engineering Texas A&M University College StationTX77843-3003 United States Department of Mechanical Engineering University of Michigan Ann ArborMI48109 United States

High strain rate impact nanoindentation of nanolayered mo/Cu thin films characterized via cross-sectional scanning/transmission electron microscopy has revealed a phase transition in the 5 nm thick mo layers from BCC to a coherent metastable FCC structure and fine deformation twins in the 5 nm Cu layers inside a shear band that is approximately 500 nm long and inclined to the layer interfaces. In contrast, thicker layers, 80 nm Cu/180 nm mo, show different deformation behavior with uneven layer thickness reduction, shearing of Cu layers, and bending of the columnar mo grains beneath the indentation without any sign of shear band and localized phase transformation. This study reveals a size effect in deformation mechanisms in fcc/bcc nanolayers under high strain rate indentation as layer thickness is reduced from around 100-200 nm to around 5 nm. © 2023, The Authors. All rights reserved.

关键词： multilayer films

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Highlights of the 2021-2022 Award-Winning Research Accomplishments in the ACS Energy and Fuels Division

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ACS ENERGY LETTERS 2022年第1期8卷 381-386页

作者： Song, Chunshan Wong, Stanislaus S. Winans, Randall E. Hu, Yun Hang Shao, Yuyan Heldebrant, David J. Chaffee, Alan L. Fu, Jinxia Bashir, Sajid Liu, Jingbo L. Department of Chemistry Faculty of Science The Chinese University of Hong Kong Shatin Hong Kong 999077 China EMS Energy Institute Pennsylvania State University University Park Pennsylvania 16802 United States Department of Chemistry Stony Brook University Stony Brook New York 11794 United States X-ray Science Division Argonne National Laboratory Lemont Illinois 60439 United States Materials Science & Engineering Michigan Technological University Houghton Michigan 49931United States Pacific Northwest National Laboratory Richland Washington 99354 United States School of Chemistry Monash University Victoria 3800 Australia Hawaii Natural Energy Institute The University of Hawaii at Manoa Honolulu Hawaii 96822 United States Texas A&M University−Kingsville Kingsville Texas 78363 United States Texas A&M Energy Institute College Station Texas 77845 United States

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Entropic Pressure on Fluctuating Solid membranes

SSRN

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SSRN 2023年

作者： Hassan, Rubayet Garzon, maria Alejandra Gao, Wei Ahmadpoor, Fatemeh Department of Mechanical and Industrial Engineering New Jersey Institute of Technology NewarkNJ07114 United States J. Mike Walker ′66 Department of Mechanical Engineering Texas A&M University College StationTX77843 United States Department of Materials Science and Engineering Texas A&M University College StationTX77843 United States

Biological and crystalline membranes exhibit noticeable fluctuations at room temperature due to their low bending stiffness. These fluctuations have a significant impact on their overall mechanical behavior and interactions with external objects. When two membranes come into close proximity, they mutually suppress each other's fluctuations, leading to a repulsive force that plays a pivotal role in mechanical behavior of these membranes. From the mechanics point of view, crystalline membranes are modeled as solid membranes with inherent shear resistance, whereas biological membranes are commonly described as fluidic entities without shear resistance. Under this premise, the entropic force between two fluctuating biological membranes is proposed to scale as $p\propto 1/d^3$, where $d$ is the intermembrane distance. Yet, there are numerous instances where these membranes display shear resistance and behave akin to solid membranes. In this paper, we develop a statistical mechanics model within nonlinear elasticity to study the entropic force acting on a confined, fluctuating solid membrane. We demonstrate that, due to the nonlinear elasticity of solid membranes, the entropic force scales differently compared to that of fluid membranes. Our predictions align well with the results obtained from molecular dynamics simulations involving graphene, a representative of a solid membrane, confined between two rigid walls. © 2023, The Authors. All rights reserved.

关键词： Cytology

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Pulling apart the mechanisms that lead to jammed knitted fabrics

arXiv

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arXiv 2024年

作者： Gonzalez, Sarah E. Dimitriyev, michael S. Cachine, A. Patrick matsumoto, Elisabetta A. School of Physics Georgia Institute of Technology AtlantaGA30332 United States Department of Materials Science and Engineering Texas A&M University College StationTX77843 United States Hiroshima University Higashihiroshima739-8526 Japan

We investigate the mechanical behavior of jammed knitted fabrics, where geometric confinement leads to an initially stiff mechanical response that softens into low stiffness behavior with additional applied stress. We show that the jammed regime is distinguished by changes in yarn geometry and contact rearrangement that must occur to allow the individual stitches to stretch. These rearrangements allow for the relaxation of high residual stresses that are present within jammed fabric, altering the low-strain response. We demonstrate that fabric jamming can be induced or reduced by changing either the constituent yarn or the fabric manufacturing parameters. Analysis of experimental samples shows that changing the "stitch size" in manufacturing affects both the in situ yarn radius and the length of yarn per stitch, both of which affect jamming. Copyright © 2024, The Authors. All rights reserved.

关键词： Wool

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Distributed online generalized Nash Equilibrium learning in multi-cluster games: A delay-tolerant algorithm

arXiv

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arXiv 2024年

作者： Liu, Bingqian Wen, Guanghui Fang, Xiao Huang, Tingwen Chen, Guanrong Laboratory of Security Operation and Control for Intelligent Autonomous Systems Department of Systems Science School of Mathematics Southeast University Nanjing211189 China Science Program Texas A&M University at Qatar Doha Qatar Department of Electrical Engineering City University of Hong Kong Hong Kong

This paper addresses the problem of distributed online generalized Nash equilibrium (GNE) learning for multicluster games with delayed feedback information. Specifically, each agent in the game is assumed to be informed a sequence of local cost functions and constraint functions, which are known to the agent with time-varying delays subsequent to decision-making at each round. The objective of each agent within a cluster is to collaboratively optimize the cluster's cost function, subject to time-varying coupled inequality constraints and local feasible set constraints over time. Additionally, it is assumed that each agent is required to estimate the decisions of all other agents through interactions with its neighbors, rather than directly accessing the decisions of all agents, i.e., each agent needs to make decision under partial-decision information. To solve such a challenging problem, a novel distributed online delay-tolerant GNE learning algorithm is developed based upon the primaldual algorithm with an aggregation gradient mechanism. The system-wise regret and the constraint violation are formulated to measure the performance of the algorithm, demonstrating sublinear growth with respect to time under certain conditions. Finally, numerical results are presented to verify the effectiveness of the proposed algorithm. Copyright © 2024, The Authors. All rights reserved.

关键词： Learning algorithms

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Electrical transport and torque magnetometry studies of the kagome compound LuV6Sn6 under high magnetic fields

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Physical Review B 2025年第15期111卷 155136-155136页

作者： Cole Phillips Kyryl Shtefiienko Shirin mozaffari Richa P. madhogaria William R. meier Aikaterini Flessa Savvidou Brian W. Casas Luis Balicas David G. mandrus David E. Graf Keshav Shrestha Department of Chemistry and Physics West Texas A&M University Canyon Texas 79016 USA Department of Materials Sciences and Engineering University of Tennessee Knoxville Tennessee 37996 USA National High Magnetic Field Laboratory Tallahassee Florida 32310 USA Department of Physics Florida State University Tallahassee Florida 32306 USA Materials Science & Technology Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA

We present a comprehensive investigation of the kagome metal LuV6Sn6 through magnetotransport and torque magnetometry studies in magnetic fields up to 41 T and temperatures as low as 0.3 K. magnetoresistance measurements up to 31 T reveal clear Shubnikov–de Haas (SdH) oscillations with two dominant frequency peaks: Fα=12 T and Fβ=155 T. The Berry phase ΦB, calculated from Landau level fan diagrams, indicates a nontrivial topology for both the α- and β-orbits. To explore the possibility of higher-frequency signals in LuV6Sn6, we employed another technique: torque magnetometry. Torque measured with applied fields up to 41 T reveals clear de Haas–van Alphen (dHvA) oscillations, with frequency signals as high as 10 kT. Angular and temperature-dependent quantum oscillation measurements allowed us to extract the effective mass of charge carriers and map the Fermi surface of LuV6Sn6. To complement the experimental findings, we performed electronic band structure and Fermi surface calculations. The electronic bands of LuV6Sn6 reveal intriguing features, including flat bands, van Hove singularities, and Dirac points near the Fermi level. Two bands cross the Fermi level, contributing a deformed cylindrical shape at the Γ-point and small chainlike Fermi surfaces near the Brillouin zone boundaries. Theoretical quantum oscillation frequencies derived from Fermi surface cross-sectional areas align well with experimental SdH and dHvA results. These combined experimental and theoretical insights provide a deeper understanding of the electronic structure of LuV6Sn6 and establish the foundation for exploring electronic properties in other vanadium- and titanium-based kagome systems.

关键词： Fermi surface

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Nonlinear nano-imaging of few-fs coherent dynamics in 2D graphene-semiconductor heterostructures

Nonlinear nano-imaging of few-fs coherent dynamics in 2D gra...

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CLEO: QELS_Fundamental science, QELS 2022

作者： Luo, Wenjin Song, Renkang Whetten, Benjamin Jiang, Tao Cheng, Xinbin Belyanin, Alexey Raschke, markus B. Department of Physics JILA University of Colorado BoulderCO80303 United States MOE Key Laboratory of Advanced Micro-Structured Materials School of Physics Science and Engineering Tongji University Shanghai China Department of Physics and Astronomy Texas A&M University College StationTX77843 United States

Using correlative adiabatic plasmonic nanofocused four-wave mixing and two-photon photoluminescence we image nanoscale heterogeneity, resolve few- to 10's fs coherent dynamics, and model underlying interlayer coup... 详细信息

ISBN: (纸本)9781557528209

关键词： Graphene

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Ultrafast THz nonlinear modulation in an electrically tunable graphene thin film perfect absorber 16

Ultrafast THz nonlinear modulation in an electrically tunabl...

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16th International Congress on Artificial materials for Novel Wave Phenomena, metamaterials 2022

作者： Tasolamprou, A.C. Koulouklidis, A.D. Doukas, S. Kyriakou, E. Ergoktas, m.S. Daskalaki, C. Economou, E.N. Kocabas, C. Lidorikis, E. Kafesaki, m. Tzortzakis, S. Institute of Electronic Structure and Laser Foundation for Research and Technology Hellas N. Plastira 100 Crete Heraklion71110 Greece Department of Materials Science and Engineering University of Ioannina Ioannina45110 Greece Department of Materials Science and Technology University of Crete Heraklion70013 Greece Department of Materials University of Manchester ManchesterM13 9PL United Kingdom National Graphene Institute University of Manchester ManchesterM13 9PL United Kingdom Department of Physics University of Crete Heraklion70013 Greece Henry Royce Institute for Advanced Materials University of Manchester ManchesterM13 9PL United Kingdom Ioannina45110 Greece Science Program Texas A&M University at Qatar P.O. Box 23874 Doha Qatar

ISBN: (数字)9781665465847

ISBN: (纸本)9781665465847

We demonstrate an electrically tunable, ultrafast, nonlinear, terahertz absorption modulator operating at 2.3 THz. The device consists of a uniform graphene sheet placed on a Au-grounded ionic liquid substrate. An electrostatic gating applied between the graphene sheet and the back-plate controls the underlying conditions for the graphene while nonlinear modulation is assessed via self-action when the THz field strength increases from 145 to 654 kV/cm. The time-dependent thermodynamic response of the system during interaction with ultrafast electric fields is further supported via the theoretical analysis of the experimental findings. © 2022 IEEE.

关键词： Graphene

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Gene knockout inference with variational graph autoencoder learning single-cell gene regulatory networks

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Nucleic acids research 2023年第13期51卷 6578-6592页

作者： Yongjian Yang Guanxun Li Yan Zhong Qian Xu Bo-Jia Chen Yu-Te Lin Robert S Chapkin James J Cai Department of Electrical and Computer Engineering Texas A&M University College Station TX 77843 USA. Department of Statistics Texas A&M University College Station TX 77843 USA. Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of Statistics East China Normal University 3663 North Zhongshan Road Shanghai 200062 China. Department of Veterinary Integrative Biosciences Texas A&M University College Station TX 77843 USA. Graduate Institute of Microbiology and Public Health College of Veterinary Medicine National Chung Hsing University Taichung 402 Taiwan. Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan. Program in Integrative & Complex Diseases Department of Nutrition Texas A&M University College Station TX 77843 USA. Interdisciplinary Program of Genetics Texas A&M University College Station TX 77843 USA.

In this paper, we introduce Gene Knockout Inference (GenKI), a virtual knockout (KO) tool for gene function prediction using single-cell RNA sequencing (scRNA-seq) data in the absence of KO samples when only wild-type (WT) samples are available. Without using any information from real KO samples, GenKI is designed to capture shifting patterns in gene regulation caused by the KO perturbation in an unsupervised manner and provide a robust and scalable framework for gene function studies. To achieve this goal, GenKI adapts a variational graph autoencoder (VGAE) model to learn latent representations of genes and interactions between genes from the input WT scRNA-seq data and a derived single-cell gene regulatory network (scGRN). The virtual KO data is then generated by computationally removing all edges of the KO gene-the gene to be knocked out for functional study-from the scGRN. The differences between WT and virtual KO data are discerned by using their corresponding latent parameters derived from the trained VGAE model. Our simulations show that GenKI accurately approximates the perturbation profiles upon gene KO and outperforms the state-of-the-art under a series of evaluation conditions. Using publicly available scRNA-seq data sets, we demonstrate that GenKI recapitulates discoveries of real-animal KO experiments and accurately predicts cell type-specific functions of KO genes. Thus, GenKI provides an in-silico alternative to KO experiments that may partially replace the need for genetically modified animals or other genetically perturbed systems.

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Comparing theoretical predictions of radiation-free velocities of edge dislocations to molecular dynamics simulations

arXiv

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arXiv 2023年

作者： Blaschke, Daniel N. Duong, Ta Demkowicz, michael J. Los Alamos National Laboratory Los AlamosNM87545 United States Department of Materials Science and Engineering Texas A&M University College StationTX77843 United States

Transonic defect motion is of interest for high strain-rate plastic deformation as well as for crack propagation. Ever since Eshelby's 1949 prediction in the isotropic limit of a'radiation-free' transonic velocity vRF = √2cT, where shock waves are absent, there has been speculation about the significance of radiation-free velocities (if they truly exist) for defect mobility. Here, we argue that they do not play any significant role in dislocation dynamics in metals, based on comparing theoretical predictions of radiation-free velocities for transonic edge dislocations with molecular dynamics simulations for two face-centered cubic (FCC) metals: Ag, where theory predicts radiation-free states, and Cu, where it does not. Copyright © 2023, The Authors. All rights reserved.

关键词： molecular dynamics

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