Dynamical fluctuations in proteins, organic semiconductors, and nanoparticle catalysts

蛋白质、有机半导体和纳米颗粒催化剂的动态波动

• 批准号: 1361484
• 负责人: Roger Loring
• 金额: $ 42万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1361484&HistoricalAwards=false
• 关键词: Dynamical; fluctuations; proteins; organic; semiconductors

Roger Loring of Cornell University is supported by an award from the Chemical Theory, Models and Computational Methods program in the Chemistry division to develop detailed models and perform calculations that interpret and motivate new measurements of molecular motions. The motions of molecules determine chemical and biological processes, as well as mechanical and electronic properties of materials. Recent experimental techniques obtain information regarding these motions on ever smaller length scales and shorter time scales. Loring and graduate student coworkers model mechanical vibrations and energy flow in biomolecules such as proteins, individual events in chemical reactions catalyzed by the surface of small gold particles, and charge carrier transport in molecular semiconductors with the potential for use in plastic electronics. Graduate students contribute to K-12 education through teacher training and enrichment programs coordinated by Cornell University.Multidimensional vibrational spectroscopy probes structure and relaxation in biomolecules, but full interpretation requires modeling the measurement with an atomic level of detail. New methods for computing nonlinear vibrational response functions based on the semiclassical mean-trajectory approach approximate quantum dynamics using input from classical simulations. Electric force microscopy has the capacity to measure charge carrier dynamics in a disordered organic semiconductor. Calculations from classical statistical mechanics and classical electrodynamics of the observables of electric force microscopy, noncontact friction and probe frequency noise, reveal the connections between these quantities and charge transport in an organic electronic device. Single-turnover studies of nanoparticle catalysis measure fluctuations from the mean kinetics observed in a bulk measurement. Loring and coworkers develop statistical measures of correlations in time and space among chemical events at different active sites on metal nanostructures, elucidating the analogs in inorganic catalysts of allosteric effects in enzymes.

康奈尔大学的Roger Loring获得了化学系化学理论，模型和计算方法项目的奖项，以开发详细的模型并进行计算，解释和激励分子运动的新测量。分子的运动决定了化学和生物过程，以及材料的机械和电子特性。 最近的实验技术获得的信息，这些运动在更小的长度尺度和更短的时间尺度。 Loring和研究生同事模拟了生物分子（如蛋白质）中的机械振动和能量流，小金颗粒表面催化的化学反应中的单个事件，以及分子半导体中的电荷载流子传输，这些分子半导体有可能用于塑料电子产品。 研究生通过康奈尔大学协调的教师培训和充实计划为K-12教育做出贡献。多维振动光谱探测生物分子的结构和弛豫，但完整的解释需要用原子水平的细节建模测量。 计算非线性振动响应函数的新方法基于半经典平均轨迹方法，使用经典模拟的输入近似量子动力学。电力显微镜具有测量无序有机半导体中的电荷载流子动力学的能力。 从经典统计力学和经典电动力学的电力显微镜，非接触摩擦和探针频率噪声的可观测量的计算，揭示了这些量和电荷传输在有机电子器件之间的连接。纳米颗粒催化的单周转研究测量从在批量测量中观察到的平均动力学的波动。Loring及其同事开发了金属纳米结构上不同活性位点的化学事件之间在时间和空间上的相关性的统计测量，阐明了酶中变构效应的无机催化剂中的类似物。