From interatomic potentials to phase diagrams: Integrated tools for validation and fitting
From interatomic potentials to phase diagrams: Integrated tools for validation and fitting
批准号:
405621160
负责人:
Professor Dr. Karsten Albe, since 8/2020
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2022-12-31
中文摘要
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英文摘要
The predictive power of simulations based on classical interatomic potentials depends on the transferability and quality of the underlying interaction models. Present day approaches to generate and fit interatomic potentials focus on simple, easy-to-calculate target quantities such as e.g. lattice constants, elastic constants, or energies of point defects. Also total energies and atomic forces of various structural configurations are used, for which reference values from static or dynamic ab initio calculations are available. A much more stringent test to validate the performance of potentials would be phase diagrams for the solid and liquid phases of single- and multi-component systems. Such a test would immediately reveal whether a given potential shows artifacts such as the absence of thermodynamically stable phases, the occurrence of unphysical "ghost" states, or inaccurate transition temperatures. However, presently available approaches to compute phase diagrams are numerically too expensive to be applied routinely, particularly when targeting an accuracy of a few K comparable to experimentally derived phase diagrams. Based on the complementary expertise of the two involved groups in sampling thermodynamic configuration space we plan to develop approaches that allow to compute accurate phase diagrams at a fraction of the presently necessary computational effort. In a first step we will analyse and test existing atomistic methods for phase diagram calculation and asses them with regard to computational efficiency, accuracy and degree of automation. Based on this insight we will develop adaptive protocols and computational tools for high-throughput, automated phase diagram calculations with built-in convergence checking. Using these tools we build up a database of thermodynamic reference data and use it to validate and benchmark a large number of potential models. We will make these tools publicly accessible to allow developers as well as users to validate their potentials with respect to the accurate reproduction of the experimental phase diagrams. This research will lay the groundwork for the development of next-generation potentials with accurate thermodynamic behavior, which are directly fitted to experimental phase diagram data and ab initio free energies.
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OVITO: Visualization and data analysis software for particle-based simulations in physics, chemistry and materials research
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批准号:391126285
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项目类别:Research data and software (Scientific Library Services and Information Systems)
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资助金额:$0.0万
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财政年份:2018
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负责人:Professor Dr. Karsten Albe, since 8/2020
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依托单位:
国内基金
海外基金
外显记忆与内隐记忆的行为和神经机制分离:知识表征的作用
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批准号:31300831
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项目类别:青年科学基金项目
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资助金额:22.0万元
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批准年份:2013
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负责人:聂爱情
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依托单位:
记忆提取促进学习的机制研究
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批准号:31100817
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项目类别:青年科学基金项目
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资助金额:22.0万元
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批准年份:2011
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负责人:罗良
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依托单位:
基于激活的模型中注意和可用的长时记忆间的关系
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批准号:31000506
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项目类别:青年科学基金项目
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资助金额:21.0万元
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批准年份:2010
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负责人:刘兆敏
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依托单位: