Abstract
Reactive molecular dynamics (MD) simulation is a powerful research tool for describing chemical reactions. We eliminate the speed-limiting charge iteration in MD with a novel extended-Lagrangian scheme. The extended-Lagrangian reactive MD (XRMD) code drastically improves energy conservation while substantially reducing time-to-solution. Furthermore, we introduce a new polarizable charge equilibration (PQEq) model to accurately predict atomic charges and polarization. The XRMD code based on hybrid message passing+multithreading achieves a weak-scaling parallel efficiency of 0.977 on 786 432 IBM Blue Gene/Q cores for a 67.6 billion-atom system. The performance is portable to the second-generation Intel Xeon Phi, Knights Landing. Blue Gene/Q simulations for the computational synthesis of materials via novel exfoliation mechanisms for synthesizing atomically thin transition metal dichalcogenide layers will dominate nanomaterials science in this century.
| Original language | English |
|---|---|
| Article number | 8254322 |
| Pages (from-to) | 64-75 |
| Number of pages | 12 |
| Journal | Computing in Science and Engineering |
| Volume | 21 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1 Sept 2019 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- computer system implementation mathematics of computing
- computing methodologies
- data
- general
- general
- general
- large and medium ('mainframe') computers
- modeling and prediction
- numerical analysis
- operating systems
- parallel algorithms
- performance
- simulation theory
- simulation, modeling, and visualization
- software
- software engineering
- super (very large) computers
- system applications and experience
- theory of computation
- types of simulation
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