Collaborative Research: SI2 CHE: Development and Deployment of Chemical Software for Advanced Potential Energy Surfaces

合作研究：SI2 CHE：先进势能表面化学软件的开发和部署

• 批准号: 1265704
• 负责人: David Case
• 金额: $ 32.82万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-05-15 至 2016-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1265704&HistoricalAwards=false
• 关键词: Collaborative; Research; SI2; CHE; Development

An international team consisting of Teresa Head-Gordon and Martin Head-Gordon (University of California, Berkeley), Paul Nerenberg (Claremont McKenna College), David Case (Rutgers University), Jay Ponder (Washington University), Mark Tuckerman (New York University) with their UK collaborators: Lorna Smith and Neil Chue Hong (University of Edinburgh), Chris-Kriton Skylaris and Jonathan W. Essex (University of Southampton), Ilian Todorov (Daresbury Laboratory), Mario Antonioletti (EPCC) are are supported through the SI2-CHE program to develop and deploy robust and sustainable software for advanced potential energy surfaces. The greater accuracy introduced by improvements in the new generation of potential energy surfaces opens up several challenges in their manifestation as algorithms and software on current or emergent hardware platforms that in turn limits their wide adoption by the computational chemistry community. The research team is overcoming these obstacles via multiple but integrated directions: (1) to optimally implement advanced potential energy surfaces across multi-core and GPU enabled systems, (2) to develop a hierarchy of advanced polarizable models that alter the tradeoff between accuracy and computational speed,(3) to create new multiple time stepping methods; (4) to write a Quantum Mechanics/Molecular Mechanics (QM/MM ) application programing interface (API) that fully supports mutual polarization, (5) to adopt software best practices to ensure growth of a self-sustaining community and (6) to provide exemplar calculations with the new software in the several emerging application areas.Molecular simulation and quantum chemistry software is an integral part of chemistry and chemical biology, and has been broadly adopted by academic researchers and industry scientists. Next generation scientific breakthroughs that utilize chemical software will be enabled by the deployment of state of the art theoretical models and algorithms that are translated into a sustainable software framework rapidly implemented on emergent high performance computing platforms. Potential energy surfaces describe the interactions between atoms. Advanced and highly accurate potential energy surfaces encounter software-related obstacles that inhibit their application to grand challenge chemistry problems. This UK and US consortium, representing a broad cross section of the computational chemistry software community, is working to directly tackle these obstacles. This US and UK collaboration between universities and High Performance Computing centers works to endure that chemical software investments made in advanced potential energy surface models has a long term payoff in community sustainability and the training of the next generation of scientists. Outreach and training workshops are organized around the emergence of the advanced potential energy software including an introductory molecular simulation software boot camp for undergraduate students.The US based investigators are supported by the CHE and ACI divisions within NSF; the UK based investigators are supported by the EPSRC.

由Teresa Head-Gordon和Martin Head-Gordon（加州大学伯克利分校）、Paul Nerenberg（克莱蒙麦肯纳学院）、大卫凯斯（罗格斯大学）、Jay Ponder（华盛顿大学）、Mark塔克曼（纽约大学）及其英国合作者Lorna Smith和Neil Chue Hong（爱丁堡大学）、Chris-Kriton Skylaris和Jonathan W.埃塞克斯（南安普顿大学）、伊莲·托多罗夫（达雷斯伯里实验室）、马里奥·安东尼奥莱蒂（EPCC）通过SI 2-CHE计划获得支持，为先进的势能表面开发和部署强大且可持续的软件。 新一代势能面的改进带来了更高的准确性，这在它们作为当前或新兴硬件平台上的算法和软件的表现形式方面带来了一些挑战，这反过来又限制了它们被计算化学界广泛采用。研究团队正在通过多个但综合的方向克服这些障碍：（1）在多核和支持GPU的系统中以最佳方式实现高级势能面，（2）开发一个高级可极化模型层次结构，以改变准确性和计算速度之间的权衡，（3）创建新的多时间步进方法;（4）编写完全支持互极化的量子力学/分子力学（QM/MM）应用编程接口（API），（5）采用软件最佳实践，以确保自我维持社区的发展;（6）分子模拟和量子化学软件是化学和化学生物学不可或缺的一部分，已被学术研究人员和工业科学家广泛采用。利用化学软件的下一代科学突破将通过部署最先进的理论模型和算法来实现，这些理论模型和算法将转化为可持续的软件框架，并在新兴的高性能计算平台上快速实施。势能面描述了原子之间的相互作用。先进和高度精确的势能面遇到了与软件相关的障碍，这些障碍阻碍了它们应用于重大挑战化学问题。这个英国和美国的联盟，代表了计算化学软件社区的广泛的横截面，正在努力直接解决这些障碍。 美国和英国大学和高性能计算中心之间的合作致力于使先进势能表面模型中的化学软件投资在社区可持续性和下一代科学家的培训方面具有长期回报。围绕先进势能软件的出现组织了外展和培训研讨会，包括为本科生举办的分子模拟软件入门靴子训练营。美国的研究人员得到了NSF内部CHE和ACI部门的支持;英国的研究人员得到了EPSRC的支持。