Shoutout to the other authors
@anuroopsriram.bsky.social @xiaohanyu.bsky.social @johannbrehmer.bsky.social @sindylowe.bsky.social @johnkitchin.bsky.social @wellingmax.bsky.social
(that I could find on this website)
07.08.2025 23:33 — 👍 1 🔁 0 💬 0 📌 0
With @cuspai.bsky.social, we contributed promising hypothetical MOFs to dataset. Also, we showed that the models are a big improvement in the state of the art in predicting experimental measurements.
07.08.2025 23:27 — 👍 2 🔁 0 💬 1 📌 0
The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture
Identifying useful sorbent materials for direct air capture (DAC) from humid air remains a challenge. We present the Open DAC 2025 (ODAC25) dataset, a significant expansion and improvement upon ODAC23...
It was great to work on the ODAC25 paper with the Meta FAIR Chemistry and Georgia Tech. A leap forwards in modelling direct air carbon capture with metal organic frameworks, with much better data and larger models.
Paper: arxiv.org/abs/2508.03162
Data and models: huggingface.co/facebook/ODA...
07.08.2025 23:25 — 👍 8 🔁 3 💬 1 📌 0
Hello Bluesky. May you fare better than the other place
25.12.2024 19:43 — 👍 4 🔁 0 💬 0 📌 0
Today at NeurIPS, we’ll be presenting our Noether's Razor paper! 📜✨
📅 Today Fri, Dec 13
⏰ 11 a.m. – 2 p.m. PST
📍 East Exhibit Hall A-C, #4710 (ALL the way in the back I believe!)
w/ @mvdw.bsky.social @pimdh.bsky.social
Come say hi! 👋
13.12.2024 16:38 — 👍 21 🔁 3 💬 2 📌 0
ML Scientist @CuspAI | Innovating for a greener future 🌱
AI Research at Meta FAIR. Previously Baidu SVAIL, Twitter & CMU LTI.
PhD student working on ML for particle physics
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
Computational Biophysicist, Amateur Photographer, History+Language Nerd.
All views my own.
Website: https://martinvoegele.github.io/
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare.
https://shubhendu-trivedi.org
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Professor of Strategic Studies, Author, Lover of Sicily
So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
web @ https://argmin.xyz
interests: machine learning, ai4science, algorithms, coding
member of technical staff @ https://cusp.ai
past @ MSR, DeepMind, MPI-IS
home @ Heimbach (Gilserberg), Berlin, Europe
born @ 353 ppm
block toxicity
he/him
official Bluesky account (check username👆)
Bugs, feature requests, feedback: support@bsky.app
