基本信息
views: 65
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
My recent work has focused on understanding the nature of phase transition during synthesis and processing of materials by numerical modelling. Our target ranges from base materials such as iron and steel to advanced materials such as carbon nanotubes and metal nanoparticles. We are mainly using a classical molecular dynamics (MD) simulation. In addition, ab-initio molecular dynamics simulation, phase-field method, moving particle simulation, and finite element method have been employed to meet the request of multi-scale modelling. Current topics are as follows:
(1) Metal-catalyzed growth of carbon nanotubes and graphene.
(2) Thermodynamic properties of metal nanoparticles
(3) Thermodynamic and kinetic properties of solid-liquid interface and solid-solid heterointerface of iron
(4) Phase-field modelling of electrochemical process
(5) Accelerating molecular dynamics simulation on graphic processing unit (GPU).
(1) Metal-catalyzed growth of carbon nanotubes and graphene.
(2) Thermodynamic properties of metal nanoparticles
(3) Thermodynamic and kinetic properties of solid-liquid interface and solid-solid heterointerface of iron
(4) Phase-field modelling of electrochemical process
(5) Accelerating molecular dynamics simulation on graphic processing unit (GPU).
Research Interests
Papers共 261 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Kota Noda,Yasushi Shibuta
Journal of physics. Condensed matter : an Institute of Physics journalno. 38 (2024)
Qi Kong,Yasushi Shibuta
MATERIALS TRANSACTIONS (2024)
International Journal of Thermofluids (2024): 100649
Qi Kong,Yasushi Shibuta
JOURNAL OF PHYSICS-CONDENSED MATTERno. 19 (2024)
ACS OMEGAno. 4 (2024): 4656-4663
Raita Isozaki,Yasushi Shibuta
ISIJ INTERNATIONALno. 2 (2024): 184-191
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn