five

First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials

收藏
Mendeley Data2026-04-18 收录
下载链接:
https://data.mendeley.com/datasets/yrn7p7w37f
下载链接
链接失效反馈
官方服务:
资源简介:
Data for manuscript entitled: First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials “Important Notes.pdf” contains useful details. “LAMMPS-Inputs.zip” folder includes: four examples of LAMMPS input scripts to study the mechanical properties at 300 K with the MTPs interatomic potentials. “AIMD-Inputs.zip” folder includes: VASP input parameters for the AIMD simulations. “POSCARs-for-AIMD.zip” folder includes: all considered structures for AIMD calculations. “Heterostructure-Models.zip” folder includes: constructed four graphene/borophene heterostructure models. “Training-Data-Full.zip” folder includes: full obtained AIMD trajectories. “Clean-MTP.zip” folder includes: untrained MTPs. “FEM-ABAQUS-Models.zip” folder includes and examples of ABAQUS input files for two heterostructures with the domain size of 63 μm (ABAQUS version 6.20).
创建时间:
2021-05-11
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作