Materials Science · Physics
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Seiki Saito, Atsushi M. Ito, Arimichi Takayama, Takahiro Kenmotsu +1
2015-05-19
Computational Physics · Physics
LAMBench: A Benchmark for Large Atomistic Models
Anyang Peng, Chun Cai, Mingyu Guo, Duo Zhang +8
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Soft Condensed Matter · Physics
Coupling Finite Element Method with Large Scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) for Hierarchical Multiscale Simulations
Takahiro Murashima, Shingo Urata, Shaofan Li
2019-09-17
Artificial Intelligence · Computer Science
LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics
Antoine Peyronnet, Fabian Gloeckle, Amaury Hayat
2026-03-02
Materials Science · Physics
Efficient and Accurate Machine Learning Interatomic Potential for Graphene: Capturing Stress-Strain and Vibrational Properties
Felipe Hawthorne, Paulo R. E. Raulino, Ronaldo Rodrigues Pelá, Cristiano F. Woellner
2025-05-20
High Energy Physics - Experiment · Physics
CelloAI Benchmarks: Toward Repeatable Evaluation of AI Assistants
Mohammad Atif, Kriti Chopra, Fang-Ying Tsai, Ozgur O. Kilic +7
2026-03-03
Computational Physics · Physics
An Accurate and Transferable Machine Learning Potential for Carbon
Patrick Rowe, Volker L Deringer, Piero Gasparotto, Gábor Csányi +1
2020-08-26
Machine Learning · Computer Science
Graph Machine Learning for Design of High-Octane Fuels
Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Stefanie Winkler +6
2024-01-17
Chemical Physics · Physics
High-dimensional neural network potentials for accurate vibrational frequencies: The formic acid dimer benchmark
Dilshana Shanavas Rasheeda, Alberto Martín Santa Daría, Benjamin Schröder, Edit Mátyus +1
2022-12-28
Distributed, Parallel, and Cluster Computing · Computer Science
LAMMPS-KOKKOS: Performance Portable Molecular Dynamics Across Exascale Architectures
Anders Johansson, Evan Weinberg, Christian R. Trott, Megan J. McCarthy +1
2025-09-25
Materials Science · Physics
Machine-Learning Interatomic Potentials Enable First-Principles Multiscale Modeling of Lattice Thermal Conductivity in Graphene/Borophene Heterostructures
Bohayra Mortazavi, Evgeny V. Podryabinkin, Stephan Roche, Timon Rabczuk +2
2020-06-15
Computation and Language · Computer Science
Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective
Qingchuan Ma, Yuhang Wu, Xiawu Zheng, Rongrong Ji
2025-06-02
Materials Science · Physics
AENET-LAMMPS and AENET-TINKER: Interfaces for Accurate and Efficient Molecular Dynamics Simulations with Machine Learning Potentials
Michael S. Chen, Tobias Morawietz, Hideki Mori, Thomas E. Markland +1
2021-08-17
Materials Science · Physics
Molecular dynamics simulation of melting of finite and inifinite size graphene
Lian Ming Huei, Tiem Leong Yoon, Yee Yeen Soon, Thong Leng Lim
2016-11-22
Instrumentation and Detectors · Physics
Performance studies of thin gas gap Resistive Plate Chamber prototypes with low Global Warming Potential gases for the ANUBIS experiment
Aashaq Shah, Thomas Adolphus, Yingchang Zhang, Oleg Brandt
2025-06-23
Materials Science · Physics
Young's moduli of carbon materials investigated by various classical molecular dynamics schemes
F. Gayk, J. Ehrens, T. Heitmann, P. Vorndamme +2
2020-11-19