Lei Wang (@wangleiphy) 's Twitter Profile
Lei Wang

@wangleiphy

Computational quantum physics ∩ Machine learning. Researcher at Chinese Academy of Sciences

ID: 2431184037

linkhttps://wangleiphy.github.io/ calendar_today23-03-2014 14:55:17

235 Tweet

979 Followers

1,1K Following

Lei Wang (@wangleiphy) 's Twitter Profile Photo

I guess the “rule of four” is a result of: 1) the distribution of materials among space groups; 2) the distribution of atoms in Wyckoff positions; 3) the multiplicities of Wyckoff positions. 1) and 2) are determined by inter-atomic interactions while 3) is fixed by group theory.

Lei Wang (@wangleiphy) 's Twitter Profile Photo

I think this is based on an unfair comparison of "filtering out invalid SMILES" versus "retaining all SELFIES". Filtering out invalid SMILES improves the model's performance because they have low likelihoods. In fact, one can also filter out SELFIES with low likelihoods.

Kim Andrea Nicoli (@nicoli_kim) 's Twitter Profile Photo

We have a few spots left! Register now at indico.hiskp.uni-bonn.de/event/443/ 14 technical talks 3 keynotes 3 panel discussions 1 poster session and much more... Including speakers like (in random order) pan tom, Jonas Köhler, Michael Albergo, Lei Wang, Lorenz Richter, and many more!

Tanishq Mathew Abraham, Ph.D. (@iscienceluvr) 's Twitter Profile Photo

Normalizing Flows are Capable Generative Models Apples introduces TarFlow, a new Transformer-based variant of Masked Autoregressive Flows. SOTA on likelihood estimation for images, beating the previous best methods by a large margin, and generates samples with quality and

Normalizing Flows are Capable Generative Models

Apples introduces TarFlow, a new Transformer-based variant of Masked Autoregressive Flows.

SOTA on likelihood estimation for images, beating the previous best methods by a large margin, and generates samples with quality and
Giuseppe Carleo (@gppcarleo) 's Twitter Profile Photo

Looking for a talented postdoc to join my group Computational Quantum Science Lab EPFL! 🇨🇭 Research Topics Include: Neural Quantum States, Many-Body Systems, Ab-Initio & Quantum Chemistry...etc Start: Fall 2025, excellent conditions Apply: epfl.ch/labs/cqsl/job-…

Jun-Yan Zhu (@junyanz89) 's Twitter Profile Photo

We've released the code for LegoGPT. This autoregressive model generates physically stable and buildable designs from text prompts, by integrating physics laws and assembly constraints into LLM training and inference. This work is led by PhD students Ava Pun, Kangle Deng,

Kim Andrea Nicoli (@nicoli_kim) 's Twitter Profile Photo

🚨 Special Issue Alert! Thrilled to co-edit, together with Lei Wang & Anindita Maiti, a new issue on Deep Generative Models for Simulating Physical Systems 🎯 If you’re working at the intersection of generative models & physics, this could be for you! 🔗 Link in thread 👇🏻

Hiroshi Shinaoka (@hshinaoka) 's Twitter Profile Photo

We are launching a new online seminar series: the Asian-Pacific Condensed Matter Physics (AP-CMP) Seminars. asian-pacific-cmp-seminars.github.io The goal is to connect researchers in condensed matter physics across the Asia-Pacific region and beyond. Talks will be in English and open to all.

Hiroshi Shinaoka (@hshinaoka) 's Twitter Profile Photo

Next talk in one week! asian-pacific-cmp-seminars.github.io Date: August 12, 2025 (Tuesday), 11:00–12:00 JST Speaker: Po-Yao Chang (National Tsing Hua University) Title: Diagnosing Many-Body Systems with Entanglement: Insights from Non-Unitary CFTs and TQFTs

Hiroshi Shinaoka (@hshinaoka) 's Twitter Profile Photo

来週のセミナーは、新しい量子埋め込み理論のお話 (DMETの一般化に対応) Date: September 2, 2025 (Tuesday) 11:00 JST-12:00 JST Speaker: Tsung-Han Lee Title: Ghost Rotationally-Invariant Slave-Boson Approach to Strongly Correlated Materials asian-pacific-cmp-seminars.github.io/#seminar-4