GOALI: Combining Discontinuous Molecular Dynamics and Chemical Process Simulation
GOALI:结合不连续分子动力学和化学过程模拟
基本信息
- 批准号:0226532
- 负责人:
- 金额:$ 15.65万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2002
- 资助国家:美国
- 起止时间:2002-11-01 至 2005-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
J. Richard Elliott, University of Akron"GOALI: Combining Discontinuous Molecular Dynamics and Chemical Process Simulation"Molecular modeling will be integrated with a chemical process simulation package to provide a complete, rigorous, and accurate framework for physical property prediction and correlation. Chemical process simulators are becoming the primary interface for industrial chemical knowledge. The PI has recently discovered that perturbation theory is much more accurate than previously appreciated, especially for polyatomic molecules. Discontinuous molecular dynamics (DMD) simulation combines with perturbation theory and the virial expansion to provide a basis for highly leveraged computational effort in all aspects of molecular modeling. An existing DMD program will run the minimal number of simulations necessary with reasonable speed on low-cost microprocessors. The resulting segmental potential models will act as molecular scale group contributions, analogous to conventional engineering group contribution models. The PI implement methods of calculating transport properties like viscosity, thermal conductivity, and diffusivity in addition to the equilibrium and coexistence properties that he has computed in the past. This research will use pre-tabulation of the essential simulation data for reference fluids, with detailed perturbation calculations to be performed with high efficiency at later times. The accuracy of this fundamental methodology will be evaluated in comparison with existing semi-empirical methods by comparison to a large database of experimental values. The PI will establish the degree to which the perturbation perspective can provide similar leveraging in the estimation of transport properties, as well as equilibrium properties. This work will be performed in collaboration with The University of Akron and the technical staff from ChemStations, Inc. The resulting product will be an internet site which clients can access for zero cost up front and relatively low hourly fees varying according to the intensity of the server side computation requested. Services provided will include molecular modeling of transport and equilibrium properties like vapor pressure, activity, water solubility, octanol partition coefficients, viscosity, and the ability to infer knowledge about one property from measurements of other properties through a common molecular model. Within the range of options will be a comprehensive collection of semi-empirical methods with estimates of the accuracy of each property. The scope of this project includes a thorough evaluation of the accuracy of semi-empirical models and the molecular based models against a database of approximately 1800 compounds. Also included will be flowsheeting and process simulation based on shortcut unit operation models. The sensitivity of the process capital and production costs to the estimated physical properties will be a menu option. The shortcut model will serve as a precursor for rigorous process simulation directly within a web-based environment.The broader impacts of the proposed research will include integrated research and education and integrated diversity. As the co-author of a leading text on Chemical Engineering Thermodynamics, the PI has already integrated results of related previous NSF support. The PI is now involved in teaching Chemical Process Design, a course that should evolve to include product design requiring extensive molecular insight. In the near term, the role of physical property estimation in traditional design can be used as a springboard for introducing many of the tools of molecular based design while directing applications to physical properties like viscosity and volatility. The predecessor to this proposal is currently supporting one female graduate student full-time and one male and one female who are alternating between teaching and research assistantships. The PI expects to maintain this balance throughout the remainder of the project.
J. Richard Elliott,阿克伦大学“目标:结合不连续分子动力学和化学过程模拟”分子建模将与化学过程模拟软件包相结合,为物理性质预测和相关性提供完整、严格和准确的框架。化学过程模拟器正在成为工业化学知识的主要界面。PI最近发现,微扰理论比以前认为的要准确得多,特别是对于多原子分子。不连续分子动力学(DMD)模拟结合了微扰理论和维里展开,为分子建模各个方面的高杠杆计算工作提供了基础。现有的DMD程序将在低成本微处理器上以合理的速度运行最少数量的模拟。由此产生的段势模型将作为分子尺度的群体贡献,类似于传统的工程群体贡献模型。PI实现了计算输运性质的方法,如粘度、导热性和扩散率,以及他过去计算过的平衡和共存性质。本研究将使用参考流体的基本模拟数据的预制表,并在稍后以高效率进行详细的微扰计算。这种基本方法的准确性将通过与大型实验值数据库的比较,与现有的半经验方法进行比较。PI将确定摄动视角在估计输运性质和平衡性质方面能够提供类似杠杆作用的程度。这项工作将与阿克伦大学和ChemStations公司的技术人员合作进行。最终的产品将是一个互联网站点,客户可以零成本访问,并且根据所请求的服务器端计算强度的不同,每小时的费用相对较低。提供的服务将包括传输和平衡特性的分子建模,如蒸汽压、活度、水溶性、辛醇分配系数、粘度,以及通过普通分子模型通过测量其他特性来推断一种特性的能力。在选择的范围内,将是半经验方法的综合集合,对每个属性的准确性进行估计。该项目的范围包括对半经验模型和基于分子的模型的准确性进行全面评估,针对大约1800种化合物的数据库。还将包括基于快捷单元操作模型的流程图和过程模拟。工艺资本和生产成本对估计的物理性质的敏感性将是一个菜单选项。快捷模型将作为直接在基于web的环境中进行严格流程模拟的先驱。拟议研究的更广泛影响将包括综合研究和教育以及综合多样性。作为化学工程热力学的主要文本的合著者,PI已经整合了相关的先前NSF支持的结果。PI现在参与了化学过程设计的教学,这门课程应该发展到包括需要广泛分子洞察力的产品设计。在短期内,物理性质估计在传统设计中的作用可以作为一个跳板,用于引入许多基于分子的设计工具,同时指导应用于粘度和挥发性等物理性质。该提案的前身目前支持一名全职女研究生和一名男性和一名女性轮流担任教学和研究助理。项目负责人希望在项目的剩余时间内保持这种平衡。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
J. Richard Elliott其他文献
Effect of Nitrite and Bicarbonate on Nitrite Utilization in Leaf Tissue of Bush Bean (<em>Phaseolus vulgaris</em>)
- DOI:
10.1016/s0176-1617(88)80030-0 - 发表时间:
1988-11-01 - 期刊:
- 影响因子:
- 作者:
David R. Peirson;J. Richard Elliott - 通讯作者:
J. Richard Elliott
Finitely limited group contribution correlations for boiling temperatures
- DOI:
10.1016/j.jct.2008.10.018 - 发表时间:
2009-04-01 - 期刊:
- 影响因子:
- 作者:
Fateme Sadat Emami;Amir Vahid;J. Richard Elliott - 通讯作者:
J. Richard Elliott
Inferring transferable intermolecular potential models
推断可转移分子间势模型
- DOI:
10.1080/08927020801930612 - 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Sinan Ucyigitler;M. Camurdan;M. Turkay;J. Richard Elliott - 通讯作者:
J. Richard Elliott
Improvements and limitations of Mie <em>λ</em>-6 potential for prediction of saturated and compressed liquid viscosity
- DOI:
10.1016/j.fluid.2018.11.002 - 发表时间:
2019-03-15 - 期刊:
- 影响因子:
- 作者:
Richard A. Messerly;Michelle C. Anderson;S. Mostafa Razavi;J. Richard Elliott - 通讯作者:
J. Richard Elliott
Gas Permeation Through Zeolite Single Crystal Membranes
- DOI:
10.1007/s10450-005-5943-2 - 发表时间:
2005-07-01 - 期刊:
- 影响因子:3.100
- 作者:
M. Göktug Ahunbay;J. Richard Elliott;Orhan Talu - 通讯作者:
Orhan Talu
J. Richard Elliott的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('J. Richard Elliott', 18)}}的其他基金
U.S.-Turkey Cooperative Research: Global Optimization of Transferable Molecular Step Potential Functions
美国-土耳其合作研究:可转移分子步势函数的全局优化
- 批准号:
0421849 - 财政年份:2004
- 资助金额:
$ 15.65万 - 项目类别:
Standard Grant
GOALI: Combining Discontinuous Molecular Dynamics and Chemical Process Simulation
GOALI:结合不连续分子动力学和化学过程模拟
- 批准号:
0075883 - 财政年份:2000
- 资助金额:
$ 15.65万 - 项目类别:
Standard Grant
Research Initiation Awards: Screening Vs. Hydrogen Bondin in Chain Molecules
研究启动奖:筛选与筛选
- 批准号:
9110285 - 财政年份:1991
- 资助金额:
$ 15.65万 - 项目类别:
Continuing Grant
相似海外基金
Combining eye-tracking and comparative judgments to identify proficiency differences for more effective language learning
结合眼动追踪和比较判断来识别熟练程度差异,以实现更有效的语言学习
- 批准号:
24K16140 - 财政年份:2024
- 资助金额:
$ 15.65万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
STEM Teacher Effectiveness and Retention in High-Need Schools: Combining Equity & Ecological Frameworks
高需求学校的 STEM 教师效能和保留率:结合公平
- 批准号:
2345129 - 财政年份:2024
- 资助金额:
$ 15.65万 - 项目类别:
Continuing Grant
Screening of environmentally friendly quantum-nanocrystals for energy and bioimaging applications by combining experiment and theory with machine learning
通过将实验和理论与机器学习相结合,筛选用于能源和生物成像应用的环保量子纳米晶体
- 批准号:
23K20272 - 财政年份:2024
- 资助金额:
$ 15.65万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Combining two unique AI platforms for the discovery of novel genetic therapeutic targets & preclinical validation of synthetic biomolecules to treat Acute myeloid leukaemia (AML).
结合两个独特的人工智能平台来发现新的基因治疗靶点
- 批准号:
10090332 - 财政年份:2024
- 资助金额:
$ 15.65万 - 项目类别:
Collaborative R&D
Collaborative Research:CIF:Small:Acoustic-Optic Vision - Combining Ultrasonic Sonars with Visible Sensors for Robust Machine Perception
合作研究:CIF:Small:声光视觉 - 将超声波声纳与可见传感器相结合,实现强大的机器感知
- 批准号:
2326905 - 财政年份:2024
- 资助金额:
$ 15.65万 - 项目类别:
Standard Grant
Combining Machine Learning Explanation Methods with Expectancy-Value Theory to Identify Tailored Interventions for Engineering Student Persistence
将机器学习解释方法与期望值理论相结合,确定针对工程学生坚持的定制干预措施
- 批准号:
2335725 - 财政年份:2024
- 资助金额:
$ 15.65万 - 项目类别:
Standard Grant
Combining structural biology and genetics to understand the function of a multi-gene family expanded in neglected human malaria parasites
结合结构生物学和遗传学来了解在被忽视的人类疟疾寄生虫中扩展的多基因家族的功能
- 批准号:
MR/Y012895/1 - 财政年份:2024
- 资助金额:
$ 15.65万 - 项目类别:
Research Grant
Risk Assuring Future Structure Critical Systems: Combining 21st Century Science with Engineering Intuition - Renewal
确保未来结构关键系统的风险:将 21 世纪科学与工程直觉相结合 - Renewal
- 批准号:
MR/Y020235/1 - 财政年份:2024
- 资助金额:
$ 15.65万 - 项目类别:
Fellowship
Collaborative Research:CIF:Small: Acoustic-Optic Vision - Combining Ultrasonic Sonars with Visible Sensors for Robust Machine Perception
合作研究:CIF:Small:声光视觉 - 将超声波声纳与可见传感器相结合,实现强大的机器感知
- 批准号:
2326904 - 财政年份:2024
- 资助金额:
$ 15.65万 - 项目类别:
Standard Grant
Co-creating digital education about parenting and father-inclusive practice: combining QL impact research and commercialisation for the social good
共同创建有关育儿和父亲包容性实践的数字教育:将 QL 影响研究与商业化相结合,造福社会
- 批准号:
MR/Y00356X/1 - 财政年份:2024
- 资助金额:
$ 15.65万 - 项目类别:
Fellowship














{{item.name}}会员




