咨询与建议

限定检索结果

文献类型

  • 171 篇 期刊文献
  • 25 篇 会议

馆藏范围

  • 196 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 127 篇 理学
    • 55 篇 数学
    • 38 篇 统计学(可授理学、...
    • 33 篇 物理学
    • 27 篇 生物学
    • 19 篇 化学
    • 14 篇 系统科学
    • 8 篇 天文学
  • 115 篇 工学
    • 48 篇 计算机科学与技术...
    • 40 篇 软件工程
    • 22 篇 生物医学工程(可授...
    • 19 篇 生物工程
    • 16 篇 控制科学与工程
    • 13 篇 化学工程与技术
    • 12 篇 电子科学与技术(可...
    • 11 篇 光学工程
    • 10 篇 电气工程
    • 9 篇 材料科学与工程(可...
    • 6 篇 动力工程及工程热...
    • 5 篇 信息与通信工程
    • 5 篇 交通运输工程
    • 4 篇 机械工程
    • 4 篇 仪器科学与技术
  • 27 篇 医学
    • 21 篇 临床医学
    • 20 篇 基础医学(可授医学...
    • 12 篇 公共卫生与预防医...
    • 9 篇 药学(可授医学、理...
  • 20 篇 管理学
    • 11 篇 管理科学与工程(可...
    • 5 篇 工商管理
    • 5 篇 图书情报与档案管...
  • 9 篇 农学
  • 5 篇 经济学
    • 5 篇 应用经济学
  • 3 篇 法学
  • 1 篇 教育学

主题

  • 6 篇 machine learning
  • 4 篇 social networks
  • 4 篇 stochastic syste...
  • 4 篇 dynamics
  • 3 篇 network models
  • 3 篇 social systems
  • 3 篇 potential energy
  • 3 篇 tumors
  • 3 篇 scientific compu...
  • 2 篇 dynamics of netw...
  • 2 篇 eigenvalues and ...
  • 2 篇 complex systems
  • 2 篇 network resilien...
  • 2 篇 precipitation
  • 2 篇 safety
  • 2 篇 electroencephalo...
  • 2 篇 networks & rando...
  • 2 篇 digital storage
  • 2 篇 predictive model...
  • 2 篇 quantum chemistr...

机构

  • 9 篇 applied mathemat...
  • 9 篇 computational an...
  • 8 篇 computational an...
  • 7 篇 department of ma...
  • 6 篇 department of bi...
  • 6 篇 university of gl...
  • 6 篇 faculty of scien...
  • 6 篇 computational an...
  • 6 篇 department of ma...
  • 6 篇 department of ma...
  • 6 篇 school of data s...
  • 5 篇 leeds institute ...
  • 5 篇 center for psych...
  • 5 篇 department of in...
  • 5 篇 department of ph...
  • 5 篇 institute for pa...
  • 5 篇 department of st...
  • 5 篇 university of pi...
  • 5 篇 arnie charbonnea...
  • 5 篇 ilsbio llc bioba...

作者

  • 41 篇 masuda naoki
  • 10 篇 naoki masuda
  • 10 篇 jasra ajay
  • 6 篇 zhang linfeng
  • 6 篇 weinan e.
  • 5 篇 aviad levis
  • 5 篇 alan p. marscher
  • 5 篇 jirong mao
  • 5 篇 charles f. gammi...
  • 5 篇 svetlana jorstad
  • 5 篇 nicola marchili
  • 5 篇 chet ruszczyk
  • 5 篇 roberto garcía
  • 5 篇 oliver porth
  • 5 篇 daniel r. van ro...
  • 5 篇 shiro ikeda
  • 5 篇 kazuhiro hada
  • 5 篇 luis c. ho
  • 5 篇 antxon alberdi
  • 5 篇 wen-ping lo

语言

  • 187 篇 英文
  • 7 篇 其他
  • 1 篇 德文
  • 1 篇 法文
  • 1 篇 中文
检索条件"机构=Computational and Data-Enabled Science and Engineering Program"
196 条 记 录,以下是101-110 订阅
排序:
Critical mass effect in evolutionary games triggered by zealots
收藏 引用
Physical Review Research 2020年 第2期2卷 023305-023305页
作者: Alessio Cardillo Naoki Masuda Department of Engineering Mathematics University of Bristol Bristol BS8 1UB United Kingdom Department of Computer Science and Mathematics University Rovira i Virgili E-43007 Tarragona Spain GOTHAM Lab – Institute for Biocomputation and Physics of Complex Systems (BIFI) University of Zaragoza E-50018 Zaragoza Spain Department of Mathematics State University of New York at Buffalo Buffalo New York 14260-2900 USA Computational and Data-Enabled Science and Engineering Program State University of New York at Buffalo Buffalo New York 14260-5030 USA
Tiny perturbations may trigger large responses in systems near criticality, shifting them across equilibria. Committed minorities are suggested to be responsible for the emergence of collective behaviors in many physi... 详细信息
来源: 评论
Forecasting Vegetation Health in the MENA Region by Predicting Vegetation Indicators with Machine Learning Models
Forecasting Vegetation Health in the MENA Region by Predicti...
收藏 引用
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Sachi Perera Wenzhao Li Erik Linstead Hesham El-Askary Computational and Data Sciences Graduate Program Schmid College of Science and Technology Chapman University Orange CA USA Schmid College of Science and Technology Chapman University Orange CA USA Fowler School of Engineering Chapman University Orange CA USA Faculty of Science Alexandria University Alexandria Egypt
Machine learning (ML) techniques can be applied to predict and monitor drought conditions due to climate change. Predicting future vegetation health indicators (such as EVI, NDVI, and LAI) is one approach to forecast ... 详细信息
来源: 评论
The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)
arXiv
收藏 引用
arXiv 2024年
作者: Miao, Brenda Y. Chen, Irene Y. Williams, Christopher Y.K. Davidson, Jaysón Garcia-Agundez, Augusto Sun, Shenghuan Zack, Travis Saria, Suchi Arnaout, Rima Quer, Giorgio Sadaei, Hossein J. Torkamani, Ali Beaulieu-Jones, Brett Yu, Bin Gianfrancesco, Milena Butte, Atul J. Norgeot, Beau Sushil, Madhumita Bakar Computational Health Sciences Institute University of California San Francisco San FranciscoCA United States UCSF-UC Berkeley Joint Program in Computational Precision Health University of California Berkeley University of California San Francisco BerkeleyCA United States Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA United States Berkeley AI Research University of California Berkeley BerkeleyCA United States Department of Medicine Division of Rheumatology University of California San Francisco San FranciscoCA United States Helen Diller Family Comprehensive Cancer Center University of California San Francisco San FranciscoCA United States Center for Data-driven Insights and Innovation University of California Office of the President OaklandCA United States Bayesian Health New YorkNY10282 United States Department of Computer Science Johns Hopkins University Whiting School of Engineering BaltimoreMD United States Department of Health Policy & Management Johns Hopkins University Bloomberg School of Public Health BaltimoreMD United States Department of Medicine Johns Hopkins Medicine BaltimoreMD21205 United States Departments of Medicine Radiology and Pediatrics University of California San Francisco San FranciscoCA United States Scripps Research Translational Institute La Jolla CA United States Department of Integrative Structural and Computational Biology Scripps Research La Jolla CA92037 United States Department of Medicine University of Chicago ChicagoIL United States Department of Statistics University of California Berkeley BerkeleyCA United States Center for Computational Biology University of California Berkeley BerkeleyCA United States Qualified Health PBC Palo AltoCA United States
Recent advances in generative models, including large language models (LLMs), vision language models (VLMs), and diffusion models, have accelerated the field of natural language and image processing in medicine and ma... 详细信息
来源: 评论
Machine-learned molecular mechanics force field for the simulation of protein-ligand systems and beyond
arXiv
收藏 引用
arXiv 2023年
作者: Takaba, Kenichiro Pulido, Iván Behara, Pavan Kumar Cavender, Chapin E. Friedman, Anika J. Henry, Michael M. MacDermott-Opeskin, Hugo Iacovella, Christopher R. Nagle, Arnav M. Payne, Alexander Matthew Shirts, Michael R. Mobley, David L. Chodera, John D. Wang, Yuanqing Computational and Systems Biology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Pharmaceuticals Research Center Advanced Drug Discovery Asahi Kasei Pharma Corporation Shizuoka410-2321 Japan Center for Neurotherapeutics Department of Pathology and Laboratory Medicine University of California IrvineCA92697 United States Skaggs School of Pharmacy and Pharmaceutical Sciences University of California 9500 Gilman Drive La Jolla San DiegoCA92093 United States Department of Chemical and Biological Engineering University of Colorado Boulder BoulderCO80309 United States Open Molecular Software Foundation DavisCA95618 United States Department of Bioengineering University of California Berkeley BerkeleyCA94720 United States Department of Pharmaceutical Sciences University of California IrvineCA92697 United States Tri-Institutional Ph.D. Program in Chemical Biology Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Simons Center for Computational Physical Chemistry Center for Data Science New York University New YorkNY10004 United States
The development of reliable and extensible molecular mechanics (MM) force fields—fast, empirical models characterizing the potential energy surface of molecular systems—is indispensable for biomolecular simulation a... 详细信息
来源: 评论
Skater’s dilemma
arXiv
收藏 引用
arXiv 2020年
作者: Ichinose, Genki Miyagawa, Daiki Ito, Junji Masuda, Naoki Department of Mathematical and Systems Engineering Shizuoka University 3-5-1 Johoku Naka-ku Hamamatsu432-8561 Japan Skating Club Yamanashi Gakuin University 2-4-5 Sakaori Kofu Yamanashi400-8575 Japan Department of Mathematics University at Buffalo State University of New York BuffaloNY14260-2900 United States Computational and Data-Enabled Science and Engineering Program University at Buffalo State University of New York BuffaloNY14260-5030 United States
In some athletic races, such as cycling and types of speed skating races, athletes have to complete a relatively long distance at a high speed in the presence of direct opponents. To win such a race, athletes are moti... 详细信息
来源: 评论
Nuclear Neural Networks: Emulating Late Burning Stages in Core Collapse Supernova Progenitors
arXiv
收藏 引用
arXiv 2025年
作者: Grichener, Aldana Renzo, Mathieu Kerzendorf, Wolfgang E. Farmer, Rob de Mink, Selma E. Bellinger, Earl Patrick Chan, Chi-Kwan Chen, Nutan Farag, Ebraheem Justham, Stephen Steward Steward Observatory Department of Astronomy University of Arizona 933 North Cherry Avenue TucsonAZ85721 United States Max Planck Institute for Astrophysics Karl-Schwarzschild-Str. 1 Garching85748 Germany Department of Physics Technion Haifa3200003 Israel Department of Computational Mathematics Science and Engineering Michigan State University East LansingMI48824 United States Department of Physics and Astronomy Michigan State University East LansingMI48824 United States Ludwig-Maximilians-Universitat Munchen Geschwister-Scholl-Platz 1 Munchen80539 Germany Department of Astronomy Yale University New HavenCT06511 United States Steward Observatory Department of Astronomy University of Arizona 933 North Cherry Avenue TucsonAZ85721 United States Data Science Institute University of Arizona 1230 N. Cherry Avenue TucsonAZ85721 United States Program in Applied Mathematics University of Arizona 617 North Santa Rita TucsonAZ85721 United States Machine Learning Research Lab Volkswagen AG Munich38440 Germany
One of the main challenges in modeling massive stars to the onset of core collapse is the computational bottleneck of nucleosynthesis during advanced burning stages. The number of isotopes formed requires solving a la... 详细信息
来源: 评论
Detecting anomalous citation groups in journal networks
arXiv
收藏 引用
arXiv 2020年
作者: Kojaku, Sadamori Livan, Giacomo Masuda, Naoki Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Computer Science University College London LondonWC1E 6EA United Kingdom Systemic Risk Centre London School of Economics and Political Science LondonWC2A 2AE United Kingdom Department of Mathematics University at Buffalo State University of New York BuffaloNY United States Computational and Data-Enabled Science and Engineering Program University at Buffalo State University of New York BuffaloNY14260-2900 United States Faculty of Science and Engineering Waseda University Tokyo169-8555 Japan
The ever-increasing competitiveness in the academic publishing market incentivizes journal editors to pursue higher impact factors. This translates into journals becoming more selective, and, ultimately, into higher p... 详细信息
来源: 评论
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials
arXiv
收藏 引用
arXiv 2023年
作者: Eastman, Peter Galvelis, Raimondas Peláez, Raúl P. Abreu, Charlles R.A. Farr, Stephen E. Gallicchio, Emilio Gorenko, Anton Henry, Michael M. Hu, Frank Huang, Jing Krämer, Andreas Michel, Julien Mitchell, Joshua A. Pande, Vijay S. Rodrigues, João P.G.L.M. Rodriguez-Guerra, Jaime Simmonett, Andrew C. Singh, Sukrit Swails, Jason Turner, Philip Wang, Yuanqing Zhang, Ivy Chodera, John D. De Fabritiis, Gianni Markland, Thomas E. Department of Chemistry Stanford University StanfordCA94305 United States Acellera Labs C Dr Trueta 183 Barcelona08005 Spain C Dr. Aiguader 88 Barcelona08003 Spain Chemical Engineering Department School of Chemistry Federal University of Rio de Janeiro Rio de Janeiro68542 Brazil Redesign Science Inc. 180 Varick St. New YorkNY10014 United States EaStCHEM School of Chemistry University of Edinburgh EH9 3FJ United Kingdom Department of Chemistry and Biochemistry Brooklyn College The City University of New York NY United States Ph.D. Program in Chemistry Ph.D. Program in Biochemistry The Graduate Center of the City University of New York New YorkNY United States Stream HPC Koningin Wilhelminaplein 1 - 40601 Amsterdam1062 HG Netherlands Computational and Systems Biology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University 18 Shilongshan Road Zhejiang Hangzhou310024 China Department of Mathematics and Computer Science Freie Universität Berlin Arnimallee 12 Berlin14195 Germany The Open Force Field Initiative Open Molecular Software Foundation DavisCA95616 United States Andreessen Horowitz 2865 Sand Hill Rd Menlo ParkCA94025 United States Department of Structural Biology Stanford University StanfordCA94305 United States Charité Universitätsmedizin Berlin In silico Toxicology and Structural Bioinformatics Virchowweg 6 Berlin10117 Germany Laboratory of Computational Biology National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Entos Inc. 9310 Athena Circle La Jolla CA92037 United States College of Engineering Virginia Polytechnic Institute State University BlacksburgVA24061 United States Simons Center for Computational Physical Chemistry Center for Data Science New York University 24 Waverly Place New YorkNY10004 United States T
Machine learning plays an important and growing role in molecular simulation. The newest version of the OpenMM molecular dynamics toolkit introduces new features to support the use of machine learning potentials. Arbi... 详细信息
来源: 评论
Brain-network clustering via kernel-ARMA modeling and the Grassmannian
arXiv
收藏 引用
arXiv 2019年
作者: Ye, Cong Slavakis, Konstantinos Patil, Pratik V. Muldoon, Sarah F. Medaglia, John NY14260 United States Department of Mathematics Computational and Data-Enabled Science and Engineering Program University at Buffalo SUNY NY14260 United States Department of Psychology Drexel University PA19104 United States Perelman School of Medicine University of Pennsylvania PA19104 United States
Recent advances in neuroscience and in the technology of functional magnetic resonance imaging (fMRI) and electro-encephalography (EEG) have propelled a growing interest in brain-network clustering via time-series ana... 详细信息
来源: 评论
DeePMD-kit v2: A software package for Deep Potential models
arXiv
收藏 引用
arXiv 2023年
作者: Zeng, Jinzhe Zhang, Duo Lu, Denghui Mo, Pinghui Li, Zeyu Chen, Yixiao Rynik, Marián Huang, Li'ang Li, Ziyao Shi, Shaochen Wang, Yingze Ye, Haotian Tuo, Ping Yang, Jiabin Ding, Ye Li, Yifan Tisi, Davide Zeng, Qiyu Bao, Han Xia, Yu Huang, Jiameng Muraoka, Koki Wang, Yibo Chang, Junhan Yuan, Fengbo Bore, Sigbjørn Løland Cai, Chun Lin, Yinnian Wang, Bo Xu, Jiayan Zhu, Jia-Xin Luo, Chenxing Zhang, Yuzhi Goodall, Rhys E.A. Liang, Wenshuo Singh, Anurag Kumar Yao, Sikai Zhang, Jingchao Wentzcovitch, Renata Han, Jiequn Liu, Jie Jia, Weile York, Darrin M. Weinan, E. Car, Roberto Zhang, Linfeng Wang, Han Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China College of Electrical and Information Engineering Hunan University Changsha China Yuanpei College Peking University Beijing100871 China Program in Applied and Computational Mathematics Princeton University PrincetonNJ08540 United States Department of Experimental Physics Comenius University Mlynská Dolina F2 Bratislava842 48 Slovakia Center for Quantum Information Institute for Interdisciplinary Information Sciences Tsinghua University Beijing100084 China Center for Data Science Peking University Beijing100871 China ByteDance Research Zhonghang Plaza No. 43 North 3rd Ring West Road Haidian District Beijing China College of Chemistry and Molecular Engineering Peking University Beijing100871 China Baidu Inc. Beijing China Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University Zhejiang Hangzhou China Westlake AI Therapeutics Lab Westlake Laboratory of Life Sciences and Biomedicine Zhejiang Hangzhou China Department of Chemistry Princeton University PrincetonNJ08544 United States SISSA Scuola Internazionale Superiore di Studi Avanzati Trieste34136 Italy Laboratory of Computational Science and Modeling Institute of Materials École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Department of Physics National University of Defense Technology Hunan Changsha410073 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China School of Electronics Engineerin
DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials (MLP) known as Deep Potential (DP) models. This package, which was released in 20... 详细信息
来源: 评论