TweTriS: Twenty trillion-atom simulation
Significant improvements are presented for the molecular dynamics code ls1 mardyn—a
linked cell-based code for simulating a large number of small, rigid molecules with …
linked cell-based code for simulating a large number of small, rigid molecules with …
An overview: multiscale simulation in understanding the radiation damage accumulation of reactor materials
The reactor is an extreme environment of high temperature, high pressure, and high
radiation dose. Damage accumulates in structural materials over service time. It will …
radiation dose. Damage accumulates in structural materials over service time. It will …
[HTML][HTML] Tribological characteristic of atmospheric plasma sprayed NiAl coatings with addition of nanostructured MoO3/Bi2O3 binary oxides as high temperature …
H Sun, J Jia, B Zhang, J Yang, H Xin, W Chen… - Journal of Materials …, 2022 - Elsevier
Abstract The MoO 3–Bi 2 O 3 binary oxides with higher ion potential difference, lower
interaction parameters and lower melting points were selected as the high temperature …
interaction parameters and lower melting points were selected as the high temperature …
MD simulation of hundred-billion-metal-atom cascade collision on Sunway Taihulight
G Chu, Y Li, R Zhao, S Ren, W Yang, X He, C Hu… - Computer Physics …, 2021 - Elsevier
Radiation damage to the steel material of reactor pressure vessels is a major threat to the
nuclear reactor safety. It is caused by the metal atom cascade collision, initialized when the …
nuclear reactor safety. It is caused by the metal atom cascade collision, initialized when the …
Massively scaling the metal microscopic damage simulation on sunway taihulight supercomputer
S Li, B Wu, Y Zhang, X Wang, J Li, C Hu… - Proceedings of the 47th …, 2018 - dl.acm.org
The limitation of simulation scales leads to a gap between simulation results and physical
phenomena. This paper reports our efforts on increasing the scalability of metal material …
phenomena. This paper reports our efforts on increasing the scalability of metal material …
Transplantation and optimization of molecular dynamics simulation on MT-3000
J Li, H Gu, J Zhao, L Qiao, C Gong, G Zheng - Future Generation Computer …, 2024 - Elsevier
Molecular dynamics (MD) simulation is a research method to simulate the change of particle
systems with the help of the powerful calculating power of computers. As the number of …
systems with the help of the powerful calculating power of computers. As the number of …
Combining task-based parallelism and adaptive mesh refinement techniques in molecular dynamics simulations
Modern parallel architectures require applications to generate massive parallelism so as to
feed their large number of cores and their wide vector units. We revisit the extensively …
feed their large number of cores and their wide vector units. We revisit the extensively …
50 million atoms scale molecular dynamics modelling on a single consumer graphics card
G Xiao, M Ren, H Hong - Advances in Engineering Software, 2018 - Elsevier
This paper presents a dynamic cell-list method for realizing large scale molecular dynamics
(MD) simulations with more than 50 million atoms on a single consumer graphics card. It …
(MD) simulations with more than 50 million atoms on a single consumer graphics card. It …
Efficient Deep Molecular Dynamic Model Training on Heterogeneous System
S Du, X You, H Yang, J Shang, Z Xiao… - 2023 IEEE 29th …, 2023 - ieeexplore.ieee.org
Molecular dynamics is a widely adopted simulation method for analyzing the movement of
atoms and molecules. Traditional molecular dynamics simulation methods are …
atoms and molecules. Traditional molecular dynamics simulation methods are …
Towards efficient short-range pair interaction on sunway many-core architecture
JS Chen, H An, WT Han, Z Lin, X Liu - Journal of Computer Science and …, 2021 - Springer
The short-range pair interaction consumes most of the CPU time in molecular dynamics
(MD) simulations. The inherent computation sparsity makes it challenging to achieve high …
(MD) simulations. The inherent computation sparsity makes it challenging to achieve high …