Welcome to my homepage!
I am a research scientist at Microsoft AI for Science in Berlin. My research interests include computational molecular/material science, machine learning and molecular dynamics simulation.
How to pronounce my name: 谢 Xiè /∫e:/ 玙 Yú /jü/
Email, Google scholar, Twitter, Github
CV - Yu Xie 谢玙
News
- 2024.10.11 - I give a talk on “Uncertainty-aware molecular dynamics from Bayesian active learning for phase transformations and thermal transport” at Colloquium@T2P seminar series at Humboldt University Theoretical Transport Physics group.
- 2023.4.28 - I give a talk on “Machine Learning Bayesian Force Fields, Uncertainty Quantification and Active Learning” to the quantum simulation group at LLNL.
- 2023.4.26 - I pass my thesis defense “Machine Learning Bayesian Force Fields and Applications to Phase Transformations”.
- 2023.3.6 - Our paper "Uncertainty-aware molecular dynamics from Bayesian active learning for phase transformations and thermal transport in SiC" is published on npj Computational Materials. Check it here.
All news
Other activities
I play Launchpad as an isomorphic MIDI keyboard. Check my channels on YouTube and Bilibili.
I am maintaining the WeChat official account 计算科学与科学计算 (computational sciences and scientific computing) with friends to share news, blogs and papers in related fields.
Ph.D. Memes & Comics Collection
How to read paper on 6-inch devices