Development of an interatomic potential for Fe-He by neural network-Reference-Cited by-同舟云学术

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Development of an interatomic potential for Fe-He by neural network

Published:2021-08 Issue: Volume:196 Page:110549
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Min Hang,Wu Feifeng,Yang Jiaqiang,Duan Xianbao,Wen Yanwei,Xie Feng,Shan Bin

Funder

yunan sheng caizheng ting

National Natural Science Foundation of China

Hubei Province Natural Science Foundation

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference40 articles.

1. The influence of helium on the bulk properties of fusion reactor structural materials

2. Tritium Control and Capture in Salt-Cooled Fission and Fusion Reactors: Status, Challenges, and Path Forward

3. Study of tritium in the primary loop of HTR-10: Experiment and theoretical calculations

4. Migration behavior of helium under displacive irradiation in stainless steel, nickel, iron and zirconium

5. Helium desorption from Fe and V by atomic diffusion and bubble migration

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1. Simulations of radiation damage accumulation in Fe-9Cr under pulsed irradiation conditions representative of inertial fusion energy;Journal of Nuclear Materials;2024-12

2. Machine Learning and Artificial Intelligence-Driven Multi-scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications;Handbook of Smart Energy Systems;2023

3. Helium interaction with solutes and impurities in neutron-irradiated nanostructured ferritic alloys: A first principles study;Journal of Nuclear Materials;2022-08

4. Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications;Handbook of Smart Energy Systems;2022

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