caesarmu

caesarmu's Stars

• valinet/ExplorerPatcher

  This project aims to enhance the working environment on Windows

  Language:C24.7k1k

• Stirling-Tools/Stirling-PDF

  #1 Locally hosted web application that allows you to perform various operations on PDF files

  Language:Java45.1k3.7k

• glotzerlab/freud

  Powerful, efficient particle trajectory analysis in scientific Python.

  Language:C++27849

• bigd4/PyNEP

  A python interface of NEP

  Language:C++4817

• mogroupumd/Learning_from_models

  The analyses applied on high-dimensional performance data of machine learning interatomic potentials (MLIPs), described in 'Learning from models: high-dimensional analyses on the performance of MLIPs'

  Language:Jupyter Notebook1

• deepmodeling/reacnetgenerator

  an automatic reaction network generator for reactive molecular dynamics simulation

  Language:Python6740

• dwsideriusNIST/LAMMPS_Examples

  Examples LAMMPS simulations to generate thermodynamic properties of simple molecular models

  Language:Python8225

• zhenxingwang/lammps-conp

  Constant potential method in LAMMPS

  Language:C++4528

• by-student-2017/lammps_education_reaxff_win

  Language:Python3214

• mertyigit/INDEEDopt

  An optimization framework using Latin Hypercube Design and deep learning to explore high-dimensional parameter spaces.

  Language:Python2610

• cagrikymk/JAX-ReaxFF

  JAX-ReaxFF: A Gradient Based Framework for Extremely Fast Optimization of Reactive Force Fields

  Language:Python5823

• simongravelle/lammps-input-files

  LAMMPS inputs and data files

  23297

• shannon-lab/input.examples.LAMMPS

  Input files and examples for plasma-surface interactions using molecular dynamics simulations with LAMMPS

  Language:Python1

• akashiwest/textMessage

  不需要配置数据库的简单留言板

  Language:PHP2

• kanadeblisst00/wechat_ocr

  使用Python调用微信本地ocr服务

  Language:Python30275

• k-gubaev/Accelerating-high-throughput-searches-for-new-alloys-with-active-learning-data

  Data fore the article: "Accelerating high-throughput searches for new alloys with active learning of interatomic potentials" by K.Gubaev et. al

  11

• abelcarreras/DynaPhoPy

  Phonon anharmonicity analysis from molecular dynamics

  Language:Python11251

• caesarmu/caesarmu.github.io

  Blog of Mu

  Language:HTML1

• ISISNeutronMuon/MDANSE

  MDANSE: Molecular Dynamics Analysis for Neutron Scattering Experiments

  Language:Python225

• Probe-Particle/PPSTM

  Code simulating variousSTM techniques, especially for tilting tip (dependent on https://github.com/Probe-Particle/ppafm)l)

  Language:Python91

• hackingmaterials/amset

  Electronic transport properties from first-principles calculations

  Language:Python13345

• zrfcms/SPaMD

  SPaMD (Scalable Parallel Materials/Molecular Design/Dynamics Studio) is an integrated software platform developed by the research group of Professor Ruifeng Zhang at Beihang University in the past five years. It is dedicated to the modeling, calculation/simulation, analysis and visualization of materials at atomic scale.

  263

• windingwind/zotero-actions-tags

  Customize your Zotero workflow.

  Language:TypeScript1.9k48

• MuiseDestiny/zotero-citation

  Make Zotero's citation in Word easier and clearer.

  Language:TypeScript85217

• phaselden/FlipIt

  Flip Clock screensaver

  Language:C#1.1k132

• brucefan1983/NEP_CPU

  CPU version of NEP

  Language:C++5016

• MLEveryday/100-Days-Of-ML-Code

  100-Days-Of-ML-Code中文版

  Language:Jupyter Notebook21.1k5.5k

• google-deepmind/materials_discovery

  Language:Jupyter Notebook887140

• yilihjy/chatgpt-anywhere

  利用Github Pages快速部署一个专属自己的chatGPT聊天页面。

  Language:TypeScript3038

• rouyang2017/SISSO

  A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.

  Language:Fortran24881