Anuroop Sriram (@anuroopsriram) 's Twitter Profile
Anuroop Sriram

@anuroopsriram

AI Research at Facebook AI Research (FAIR). Previously Baidu SVAIL, Twitter & CMU LTI.

ID: 226457564

linkhttps://anuroopsriram.com/ calendar_today14-12-2010 05:49:27

311 Tweet

455 Followers

3,3K Following

Nate Gruver (@gruver_nate) 's Twitter Profile Photo

CrystalLLM is up on arxiv! In the paper, we show that LLMs can be fine-tuned to produce 3D structures that are stable according to density functional theory (DFT). arxiv.org/abs/2402.04379 w/ Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, Zack Ulissi 1/6

CrystalLLM is up on arxiv! In the paper, we show that LLMs can be fine-tuned to produce 3D structures that are stable according to density functional theory (DFT).
arxiv.org/abs/2402.04379
w/ <a href="/anuroopsriram/">Anuroop Sriram</a>, <a href="/AndreaMadotto/">Andrea Madotto</a>, <a href="/andrewgwils/">Andrew Gordon Wilson</a>, <a href="/zackulissi/">Zack Ulissi</a>
1/6
Yi-Lun Liao (@yilunliao) 's Twitter Profile Photo

đź§µ(1/7) Excited to share that our work, EquiformerV2, has been accepted to #ICLR2024. EquiformerV2 is the state-of-the-art on large-scale atomistic benchmarks -- OC20, OC22, AdsorbML, and ODAC23. Joint work with Brandon Wood, Abhishek Das from FAIR Chemistry and Prof. Tess Smidt Paper:

đź§µ(1/7) Excited to share that our work, EquiformerV2, has been accepted to #ICLR2024. EquiformerV2 is the state-of-the-art on large-scale atomistic benchmarks -- OC20, OC22, AdsorbML, and ODAC23.

Joint work with <a href="/bwood_m/">Brandon Wood</a>, <a href="/abhshkdz/">Abhishek Das</a> from <a href="/OpenCatalyst/">FAIR Chemistry</a> and <a href="/tesssmidt/">Prof. Tess Smidt</a> 

Paper:
AI at Meta (@aiatmeta) 's Twitter Profile Photo

Newly published today in ACS Central Science — Meta and Georgia Tech researchers released a dataset + SOTA AI models to help accelerate research on Direct Air Capture — a key technology to combat climate change ➡️ go.fb.me/eojy3k

Newly published today in <a href="/ACSCentSci/">ACS Central Science</a> — Meta and <a href="/GeorgiaTech/">Georgia Tech</a> researchers released a dataset + SOTA AI models to help accelerate research on Direct Air Capture — a key technology to combat climate change ➡️ go.fb.me/eojy3k
FAIR Chemistry (@opencatalyst) 's Twitter Profile Photo

Introducing fairchem - our revamped codebase consolidating our AI modeling efforts in chemistry and materials science. fairchem makes it easy to interface with our data, models, demos, and applications - including an easy to use ASE calculator: github.com/FAIR-Chem/fair…

Benjamin Kurt Miller (@bkmi13) 's Twitter Profile Photo

Announcing our new model for materials! FlowMM... - Generates stable & novel materials efficiently - Predicts crystal structure accurately - Generalizes Riemannian Flow Matching to point clouds w/ periodic boundaries arxiv.org/abs/2406.04713 Ricky T. Q. Chen Anuroop Sriram Brandon Wood

FAIR Chemistry (@opencatalyst) 's Twitter Profile Photo

Introducing Meta’s Open Materials 2024 (OMat24) Dataset and Models! All under permissive open licenses for commercial and non-commercial use! Paper: arxiv.org/abs/2410.12771 Dataset: huggingface.co/datasets/fairc… Models: huggingface.co/fairchem/OMAT24 🧵1/x

Introducing Meta’s Open Materials 2024 (OMat24) Dataset and Models! All under permissive open licenses for commercial and non-commercial use!

Paper: arxiv.org/abs/2410.12771
Dataset: huggingface.co/datasets/fairc…
Models: huggingface.co/fairchem/OMAT24

đź§µ1/x
Jehad Abed (@jehad__abed) 's Twitter Profile Photo

Excited to unveil OCx24, a two-year effort with University of Toronto and @VSParticle! We've synthesized and tested in the lab hundreds of metal alloys for catalysis. With 685 million AI-accelerated simulations, we analyzed 20,000 materials to try and bridge simulation and reality. Paper:

Chaitanya K. Joshi @ICLR2025 🇸🇬 (@chaitjo) 's Twitter Profile Photo

Introducing All-atom Diffusion Transformers — towards Foundation Models for generative chemistry, from my internship with the FAIR Chemistry team FAIR Chemistry AI at Meta There are a couple ML ideas which I think are new and exciting in here 👇

Introducing All-atom Diffusion Transformers 

— towards Foundation Models for generative chemistry, from my internship with the FAIR Chemistry team <a href="/OpenCatalyst/">FAIR Chemistry</a> <a href="/AIatMeta/">AI at Meta</a> 

There are a couple ML ideas which I think are new and exciting in here 👇
Anuroop Sriram (@anuroopsriram) 's Twitter Profile Photo

Exciting new step toward foundational generative models for Chemistry! Training a unified model for molecules & materials has been a challenge—until now. Our new work uses Latent Diffusion to jointly model both, paving the way for more modalities in the future! Led by Chaitanya K. Joshi.

Ricky T. Q. Chen (@rickytqchen) 's Twitter Profile Photo

We are presenting 3 orals and 1 spotlight at #ICLR2025 on two primary topics: On generalizing the data-driven flow matching algorithm to jump processes, arbitrary discrete corruption processes, and beyond. And on highly scalable algorithms for reward-driven learning settings.