Ziheng Lu
@zihenglu.bsky.social
Principal researcher & project lead @ Microsoft Research; Deep Learning; Materials Science; Cats; Views are mine.
Reposted by Ziheng Lu
Open roles at MSR AI for Science: ML Research & ML Engineer
If you passionate about Deep Learning and want to invent the future of scientific discovery jointly with an amazing team, please apply!
jobs.careers.microsoft.com/global/en/jo...
jobs.careers.microsoft.com/global/en/jo...
If you passionate about Deep Learning and want to invent the future of scientific discovery jointly with an amazing team, please apply!
jobs.careers.microsoft.com/global/en/jo...
jobs.careers.microsoft.com/global/en/jo...
Search Jobs | Microsoft Careers
jobs.careers.microsoft.com
January 23, 2025 at 8:10 PM
Open roles at MSR AI for Science: ML Research & ML Engineer
If you passionate about Deep Learning and want to invent the future of scientific discovery jointly with an amazing team, please apply!
jobs.careers.microsoft.com/global/en/jo...
jobs.careers.microsoft.com/global/en/jo...
If you passionate about Deep Learning and want to invent the future of scientific discovery jointly with an amazing team, please apply!
jobs.careers.microsoft.com/global/en/jo...
jobs.careers.microsoft.com/global/en/jo...
Reposted by Ziheng Lu
Excited to finally announce the publication of MatterGen on Nature. MatterGen represents a new paradigm of materials design with generative AI. We are releasing the code of MatterGen under MIT license. Look forward to seeing how the community will use the tool and build on top of it.
Microsoft researchers introduce MatterGen, a model that can discover new materials tailored to specific needs—like efficient solar cells or CO2 recycling—advancing progress beyond trial-and-error experiments. www.microsoft.com/en-us/resear...
January 16, 2025 at 10:10 AM
Excited to finally announce the publication of MatterGen on Nature. MatterGen represents a new paradigm of materials design with generative AI. We are releasing the code of MatterGen under MIT license. Look forward to seeing how the community will use the tool and build on top of it.
Reposted by Ziheng Lu
Posting this again - mobile robots for chemistry worldwide, dates approximate (I missed some in the earlier post). Video links, where I could find them, are in the thread below. Please add any other I missed to the thread. (🧵 1/14) #chemsky #compchemsky #robots #AI 🌎
January 5, 2025 at 3:22 PM
Posting this again - mobile robots for chemistry worldwide, dates approximate (I missed some in the earlier post). Video links, where I could find them, are in the thread below. Please add any other I missed to the thread. (🧵 1/14) #chemsky #compchemsky #robots #AI 🌎
Reposted by Ziheng Lu
new preprint on chemical synthesis ML models
- showing how to combine multiple models in a principled way
- modern Transformers + GNN to featurize chemical reaction:
- new insights in where the models shine
+ bonus: find the quirky named reaction!
Feedback welcome!
arxiv.org/abs/2412.05269
- showing how to combine multiple models in a principled way
- modern Transformers + GNN to featurize chemical reaction:
- new insights in where the models shine
+ bonus: find the quirky named reaction!
Feedback welcome!
arxiv.org/abs/2412.05269
Chimera: Accurate retrosynthesis prediction by ensembling models with diverse inductive biases
Planning and conducting chemical syntheses remains a major bottleneck in the discovery of functional small molecules, and prevents fully leveraging generative AI for molecular inverse design. While ea...
arxiv.org
December 9, 2024 at 2:19 AM
new preprint on chemical synthesis ML models
- showing how to combine multiple models in a principled way
- modern Transformers + GNN to featurize chemical reaction:
- new insights in where the models shine
+ bonus: find the quirky named reaction!
Feedback welcome!
arxiv.org/abs/2412.05269
- showing how to combine multiple models in a principled way
- modern Transformers + GNN to featurize chemical reaction:
- new insights in where the models shine
+ bonus: find the quirky named reaction!
Feedback welcome!
arxiv.org/abs/2412.05269
Reposted by Ziheng Lu
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. github.com/microsoft/ma...
December 3, 2024 at 5:04 PM
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. github.com/microsoft/ma...