Twitxy
Saved
@HanYangChicago's profile picture
View on X

Han Yang 杨涵

@HanYangChicago

Senior Researcher at Microsoft Research AI4Science. Ph.D. in Chemistry from the University of Chicago.
Shanghai Joined March 2020
112 Following 165 Followers 25 Posts

Latest posts 4

Pinned post

Han Yang 杨涵 @HanYangChicago
Excited to share our latest development, MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures. Check it out 👉arxiv.org/abs/2405.04967 microsoft.com/en-us/research… #MicrosoftResearch #AI #DeepLearning #MaterialScience
@luzihen
arxiv.org MatterSim: A Deep Learning Atomistic Model Across Elements,... Accurate and fast prediction of materials properties is central to the digital transformation of materials design. However, the vast design space and diverse operating conditions pose significant...
0 replies 17 reposts 59 likes 13K views View on X
Han Yang 杨涵 @HanYangChicago
We are glad to announce that we are releasing MatterSim-V1 for public use today. We look forward to hearing your feedback after trying out our models.
We are actively working on developing more pre-trained models for MatterSim. Please stay tuned for updates.
Microsoft Research Verified account @MSFTResearch Dec 3, 2024
We're thrilled to announce the release of MatterSimV1-1M and MatterSimV1-5M on GitHub. These cutting-edge models are now available for researchers, developers, and innovators to explore, customize and build upon. msft.it/6013oBZLt
Logo for MatterSim on a blue to green gradient background. The logo features a white molecular structure with six nodes connected by lines, positioned to the left of the text ‘MatterSim’ in white.
View quoted post on X
0 replies 5 reposts 12 likes 1.1K views View on X
Han Yang 杨涵 @HanYangChicago
Take a look at our latest work on the Long-Short-Range Message-Passing framework, designed to integrate long-range interactions in graph #NeuralNetworks for precise molecular property predictions.#compchem #MachineLearning

arxiv.org/abs/2304.13542
arxiv.org Long-Short-Range Message-Passing: A Physics-Informed Framework to... Computational simulation of chemical and biological systems using ab initio molecular dynamics has been a challenge over decades. Researchers have attempted to address the problem with machine...