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International Research Fellowship Program: Thermodynamics and Kinetics of Isolated, Molecular Systems

International Research Fellowship Program: Thermodynamics and Kinetics of Isolated, Molecular Systems
国际研究奖学金计划:孤立分子系统的热力学和动力学
批准号:
0700911
负责人:
Jason Green
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Fellowship Award
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-06-01 至 2010-08-31

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中文摘要
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英文摘要
0700911GreenThe International Research Fellowship Program enables U.S. scientists and engineers to conduct nine to twenty-four months of research abroad. The program's awards provide opportunities for joint research, and the use of unique or complementary facilities, expertise and experimental conditions abroad.This award will support a twenty-four-month research fellowship by Dr. Jason R. Green to work with Dr. David J. Wales at the University of Cambridge in the United Kingdom, and with Dr. R. Stephen Berry at the University of Chicago in the US.This project combines analytic theory and computation with the goal of elucidating connections between the statistical properties and processes of isolated, molecular systems and nonextensive statistical mechanics. Isolated molecules are routinely studied across the fields of chemistry, biology, and physics. The attention given to these systems makes them an information-rich source for the cultivation of new theory. Statistical mechanical, thermodynamic and traditional statistical kinetic treatments have been successfully applied to the investigation of isolated systems. Molecular systems can, however, deviate from traditional behavior, sometimes extremely. Deviations from theoretical prediction can manifest themselves as differences in the probability and state densities of single-particle vibrational statistics and in the kinetics and dynamics on the potential energy landscape. These deviations point to a need for more general theories describing molecular systems. Our efforts to develop such theories involve the calculation of probability and state densities for model molecular systems. Densities can be used to determine extensive and nonextensive statistical thermodynamic quantities and to model kinetics and dynamics. By comparing these properties and processes of molecules that deviate from traditional theories to those that do not, insight is gained into more general descriptions of the behavior of isolated molecules.
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Collaborative Research: EAGER: ADAPT: Machine Learning Thermodynamic Speed Limits for Dynamic Materials
  • 批准号:
    2231469
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2022
  • 负责人:
    Jason Green
  • 依托单位:
Speed Limits on Pattern Formation in Dynamic Materials
  • 批准号:
    2124510
  • 项目类别:
    Standard Grant
  • 资助金额:
    $37.44万
  • 财政年份:
    2021
  • 负责人:
    Jason Green
  • 依托单位:
Theory for dynamic matter: designing mechanisms for dissipative nanomaterials
  • 批准号:
    1856250
  • 项目类别:
    Standard Grant
  • 资助金额:
    $43.5万
  • 财政年份:
    2019
  • 负责人:
    Jason Green
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)