ITR - (ASE) - (sim+dmc): Parallel Data Mining for Nanoscale Kinetic Monte Carlo Simulation Models

智力价值：计算科学和技术的进步使材料过程和性质的理论建模变得可行、可取，并成为实验工作的有力补充。由于对材料宏观性质的理解和操纵依赖于在微观层面上获得的信息，因此ASE的挑战之一是为材料性质和相关现象的无缝、多尺度研究建立框架。动力学蒙特卡罗方法是一种适合于在很大的长度和时间范围内进行模拟的技术，它有可能将原子细节与宏观观测联系起来。然而，由于需要对潜在的原子机制及其能量学的先验知识的要求，标准方法受到了限制。通常，只有几个涉及单原子运动的过程被提供作为动力学蒙特卡罗模拟的输入，从而忽略了集体原子运动、空位产生和复杂的原子过程的作用，并且偏向于系统的时间演化。在拟议的ASE研究中，技术重点是SIM和DMC，我们计划通过包括独特和创新的模式识别方案以及动态计算系统能量学的自动化程序来克服这些限制。这一程序将允许开发一个可能的原子事件的广泛数据库。这样收集的数据库将作为进一步分析和处理的输入，使用机器学习和数据挖掘来开发高效、稳健和准确的映射函数，这些函数将通过对各种外延生长现象的模拟进行广泛测试，并通过与相关实验数据的比较进行验证。由此产生的映射函数将大大提高模拟的准确性和速度。广泛影响：我们的目标是创建准确和高效的计算算法来模拟薄膜生长等现象，这将是SIM和DMC技术重点领域的一项重大成就，因为跨学科方法产生了创新的方法。然而，材料计算机设计算法的成功实施将在ASE中实现，因为它将使开发技术上重要的材料的成本大大降低，控制力度更大。这项工作还将为我们提供具有广泛国家、国际和社会影响的教育和外联活动的机会。除了对我们的研究生和本科生进行ITR的教育和培训外，我们还将建议与K-12社区一起努力。我们打算通过研究和教育的整合来做到这一点。我们的团队将共同将研究成果纳入有关物理计算方法、数据挖掘、机器学习和自适应并行化技术的课程。还将开发一个用于教学和外联目的的单元。两名高中教师将被招募到KSU度过暑期课程。与K-12教师和学生的定期外展活动将有助于扩大具有信息技术和纳米科学素养的个人的人才库。国际和平研究所与芬兰的Alatalo教授、俄罗斯的Trushin博士和土耳其的Durukanoglu博士现有的国际合作将有助于将拟议工作的成果扩展到国际上。

Intellectual Merit:Advances in computational science and technology have made the theoreticalmodeling of materials processes and properties viable, desirable, and a strong supplement to experimental work. Since the understanding and manipulation of the macroscopic properties of materials relies on information obtained at the microscopic level, one of the challenges in ASE is in developing the framework for a seamless, multiscale study of materials properties and related phenomena. The kinetic Monte Carlo method is one such technique which is suitable for simulations over a large range of length and time scales and which has the potential to connect atomistic details with macroscopic observations.The standard method is, however, handicapped because of the requirement of prior knowledge of theunderlying atomic mechanisms and their energetics. Typically only a few processes involving singleatom motion are provided as input to kinetic Monte Carlo simulations, thereby neglecting the role ofcollective atomic motion, vacancy creation, and complex atomic processes, as well as biasing the timeevolution of the system. In the proposed research in ASE with technical focus in sim and dmc, we planto overcome these limitations through the inclusion of unique and innovative pattern recognition schemesalong with automated procedures for the calculation of system energetics on the fly. This procedure willallow the development of an extensive database of possible atomic events. The database so collected willserve as input for further analysis and processing using machine learning and data mining for thedevelopment of efficient, robust, and accurate mapping functions which will be extensively tested throughsimulations of a variety of phenomena in epitaxial growth and validated through comparison with relevantexperimental data. The resulting mapping functions will serve to vastly increase the accuracy and speedof simulations.Broader Impact:Our goal of creating accurate and efficient computational algorithms for the simulationof phenomena such as thin-film growth will be a significant achievement in the technical focus areas ofsim and dmc, because of the innovative methodologies resulting from cross-disciplinary approaches. Thesuccessful implementation of the algorithms for computer design of materials, however, will be abreakthrough in ASE, as it will enable the development of technologically important materials with muchreduced cost and much greater control.The work will also provide us opportunities for educational and outreach activities with broad national, international and societal impact. Apart from the education and training of our graduate and undergraduate students in ITR, we will propose to work with the K-12 community in this endeavor. We intend to do so through the integration of research and education. Our team will collectively incorporate products of the research into courses on computational methods in physics, on data mining, on machine learning, and on adaptive parallelization techniques. A module for instructional and outreach purposes will also be developed. Two high school teachers will be recruited to spend summer sessions at KSU. Regular outreach activities with K-12 teachers and students will help broaden the pool of individuals in IT and nanoscale science literate individuals. Existing international collaborations of the PI with Prof. Alatalo, Finland, Dr. Trushin, Russia, and Dr. Durukanoglu, Turkey will help extend the outcomes of the proposed work internationally.