Reducing Risk through Uncertainty Quantification for Past, Present and Future Generations of Nuclear Power Plant

通过过去、现在和未来几代核电厂的不确定性量化来降低风险

• 批准号: EP/R012474/1
• 负责人: James Kermode
• 金额: $ 26.17万
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR012474%2F1
• 关键词: Reducing; Risk; through; Uncertainty; Quantification

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

目前，所有资助研究的摘要都不能在GTR中找到。这通常是因为在提交提案时并不需要摘要，但可能是因为它包含了个人详细信息等敏感信息。

项目成果

Atomistic QM/MM simulations of the strength of covalent interfaces in carbon nanotube-polymer composites.

碳纳米管-聚合物复合材料中共价界面强度的原子 QM/MM 模拟。

• DOI: 10.1039/d0cp01841d
• 发表时间: 2020
• 期刊: PCCP
• 作者: Golebiowski JR

Efficient and transferable machine learning potentials for the simulation of crystal defects in bcc Fe and W

• DOI: 10.1103/physrevmaterials.5.103803
• 发表时间: 2021-10-21
• 期刊: PHYSICAL REVIEW MATERIALS
• 影响因子: 3.4
• 作者: Goryaeva, Alexandra M.;Deres, Julien;Marinica, Mihai-Cosmin
• 通讯作者: Marinica, Mihai-Cosmin

Numerical-continuation-enhanced flexible boundary condition scheme applied to mode-I and mode-III fracture.

适用于 I 型和 III 型断裂的数值连续增强柔性边界条件方案。

• DOI: 10.1103/physreve.103.033002
• 发表时间: 2021
• 期刊: Physical review. E
• 作者: Buze M

Machine Learning a General-Purpose Interatomic Potential for Silicon

• DOI: 10.1103/physrevx.8.041048
• 发表时间: 2018-12-14
• 期刊: PHYSICAL REVIEW X
• 影响因子: 12.5
• 作者: Bartok, Albert P.;Kermode, James;Csanyi, Gabor
• 通讯作者: Csanyi, Gabor

matscipy: materials science at the atomic scale with Python

• DOI: 10.21105/joss.05668
• 发表时间: 2024-01
• 期刊: J. Open Source Softw.
• 作者: P. Grigorev;L. Frérot;Fraser Birks;Adrien Gola;Jacek Golebiowski;J.-C. Griesser;J. Hörmann;Andreas Klemenz;G. Moras;W. Nöhring;Jonas A. Oldenstaedt;Punit Patel;T. Reichenbach;Thomas Rocke;Lakshmi Shenoy;M. Walter;Simon Wengert;Lei Zhang;J. Kermode;L. Pastewka