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@mir-group
MIR@Harvard mir-group
Materials Intelligence Group @ Harvard University

United States of America

@Weijie-Yang
Yang-Lab Weijie-Yang
Material Design and Multi-Scale Simulation Method
@JuDFTteam
JuDFTteam JuDFTteam
JuDFTteam is the GitHub home of the quantum materials simulation codes and toolkits developed by the division Quantum Theory of Materials at FZ Jülich.
@Cloudac7
Futaki Haduki Cloudac7

Smartlogic Tech Shanghai, China

@robinzyb
Yong-Bin Zhuang robinzyb
Researcher

Preferred Network Inc. Tokyo - Japan

@lanl
Los Alamos National Laboratory lanl

Los Alamos, New Mexico, USA

@JYNi16
Curry JYNi16
Researcher at XJTU. Condensed Matter Physics and Machine Learning.

Xi'an Jiaotong University China

@chazeon
Chenxing Luo chazeon
Ph.D. researcher focusing on atomistic simulation for systems under high pressure and temperature, member of @MineralsCloud at @columbia

Columbia University New York, NY

@fqgong
fqgong

Cheng Group Xiamen University

@WMD-group
Materials Design Group WMD-group
Research group in computational chemistry & physics led by @aronwalsh at @ImperialCollegeLondon

London

@aronwalsh
Aron Walsh aronwalsh
Chief Scientific Officer @Cusp-AI | Professor @ImperialCollegeLondon

@WMD-group

@materialyzeai
Materialyze.AI materialyzeai
Our mission is to accelerate the design and discovery of breakthrough materials through the integration of theory, experiments, and AI.

Singapore

@dandavies99
Dan Davies dandavies99
Senior Software Engineer for AI in Chemistry @ImperialCollegeLondon and @aichemy-hub 🧪🚀🤖

Imperial College London London, UK

@Henrium
Henry Zhang Henrium
PhD student @ideal-nu @MTD-group working on AI for materials science.

Northwestern University

@xai-org
xai-org
Understand the Universe

United States of America

@QMCPACK
QMCPACK QMCPACK
Open-source many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids.
@sgbaird
Sterling G. Baird sgbaird
Assistant professor (Mech Eng), leading the @vertical-cloud-lab at BYU focused on materials discovery enabled by Bayesian optimization and self-driving labs

@vertical-cloud-lab (BYU) @AccelerationConsortium (UofT) @sparks-baird (UofU) Provo, UT, USA

@gasteigerjo
Johannes Gasteiger, né Klicpera gasteigerjo
Research Scientist, AI Safety

Anthropic London, UK

@almullay
Yousif Almulla almullay

Microsoft Quantum Seattle, Washington, US

@zrfcms
Ruifeng Zhang zrfcms
Ruifeng Zhang is currently a professor of school of materials science and engineering at Beihang University.

Beihang University Beijing

@thunlp
THUNLP thunlp
Natural Language Processing Lab at Tsinghua University

FIT Building, Tsinghua University, Beijing

@LYuhang
LiuYuhang LYuhang

Huazhong University of Science and Technology Wu Han

@FesianXu
FesianXu FesianXu
少年心气乃不可再生之物

Tencent & Wechat Beijing, China

@torchmd
TorchMD torchmd
TorchMD: A deep learning framework for molecular simulations
@MULTIBINIT
MULTIBINIT MULTIBINIT
MULTIBINIT is a framework for second-principles methods.

Belgium

@superstar54
Xing Wang superstar54

Paul Scherrer Institute Switzerland

@richard-evans
Dr. Richard Evans richard-evans

University of York York, UK

@XiaoJiang-Phy
Xiao Jiang XiaoJiang-Phy
Ph.D. in Condensed Matter Physics
@zerothi
Nick Papior zerothi

@dtudk Kgs. Lyngby, Denmark

@sekocha
Atsuto Seko sekocha

Kyoto University Kyoto, Japan

@TheCatOfHs
Physics with Machine Learning TheCatOfHs
We aim to build a combinatiorial optimization program to achieve the structural search, crystal optimization, et al.
@Sassafrass6
Frank Cerasoli Sassafrass6
Postdoctoral Researcher at UC Davis

Davis, California