From text to insight: large language models for chemical data extraction
The vast majority of chemical knowledge exists in unstructured natural language, yet structured data is crucial for innovative and systematic materials design. Traditionally, the field has relied on m...
🎅🏼 A small early Christmas present from our team.
To celebrate the publication of our data extraction tutorial in Chem Soc Rev, we made it easy to run it — without any installation — on a JupyterHub of the Base4NFDI.
🎥 Video intro to the JupyterHub deployment: youtu.be/l-5QNUo1fcU
21.12.2024 22:39 — 👍 24 🔁 6 💬 1 📌 2
An extended graphical abstract showing predicted solar cell efficiency vs growth conditions
A pint of defect chemistry, a dash of #CompChem, and a sprinkle of Sah-Shockley statistics. The final PhD work from Xinwei Wang just appeared in #ACSEnergyLett, connecting github.com/WMD-group/Ca... with the solar cell performance of Sb₂S₃ 🌞 pubs.acs.org/doi/10.1021/...
19.12.2024 08:18 — 👍 25 🔁 5 💬 1 📌 0
We’re thrilled to introduce 𝗗𝗔𝗖-𝗦𝗜𝗠, a molecular simulation package that integrates transferable machine learning force fields (MLFFs) into Metal-Organic Frameworks (MOFs) for CO₂ DAC applications.
Project Page: hspark1212.github.io/DAC-SIM-proj...
Code: github.com/hspark1212/D...
16.12.2024 13:26 — 👍 7 🔁 0 💬 0 📌 0
CoRE MOF logo
CoRE MOF DB, 2024 version, is available @chemrxiv.bsky.social ! A curated experimental metal-organic framework database with machine-learned properties for integrated material-process screening doi.org/10.26434/che...
12.12.2024 18:39 — 👍 20 🔁 7 💬 2 📌 0
A list of my research group contributions to the Fall Meeting of the MRS
I’ve attended the Materials Research Society Fall Meeting for some time. First for buzzing conductive oxide symposia, then an era of overflowing halide perovskite rooms, and now I’m quite drawn to #AIforScience. Looking forward to placing my finger on the pulse of #f24mrs this week #ChemSky
01.12.2024 10:08 — 👍 28 🔁 3 💬 2 📌 0
As my first post on @bsky.app, I'm happy to announce the publication of a paper describing the new (very fast!) GPU version of our RASPA simulation code, gRASPA. Congratulations to Zhao Li and the team!
20.11.2024 21:55 — 👍 32 🔁 6 💬 2 📌 0
Here is the Chemeleon (Chemist Cameleon) logo 🦎 (Generated by DALL·E 3 !)
28.11.2024 10:45 — 👍 8 🔁 0 💬 1 📌 0
Crystalline Porous Materials (MOFs/HOFs/COFs/Zeolites), Gas Adsorption and Separation,Reviewer for Fuel,SPT ···
https://scholar.google.com.hk/citations?user=SdnNRGkAAAAJ&hl=zh-CN&oi=ao
https://orcid.org/0009-0001-0897-9706
Email: guoxingzhe2014@gmail.com
I like coffee, AI, chemistry and robots. Student Researcher at the Materials Design Group #ImperialMaterials. Beacon Leadership Scholar #ImperialCollege
PhD candidate @ KAIST
Working on materials design using computational methods
Editor-in-chief of Matter, communicator of material’s knowledge, keeper of the desk rejected. Bon vivant. Team Edward.
Research Associate at Imperial College London
Senior research assistant investigating crystal structure prediction at University of Southampton | Ice hockey and model scenery fan
🧑🔬 💻 🏒
👨🔬Postdoc researcher @IISc
🎓PhD (Physics) from UniJena
📽️YouTube (~20k): https://youtube.com/@PhysWhiz
📸Instagram (~22k): https://instagram.com/phys.whiz
🌐Resume: https://manas.bragitoff.com
💻Blog: https://www.bragitoff.com
IZTECH-Chemistry, I like to be Polymath(learning different subjects), Polygot(interested in the learning different languages) comments and opinions are my own RT≠ is not endorsement (he/him)
Group Leader - AI and data infrastructure for science at
UChicago/Argonne/Globus - UofIllinois alum. materials, chemistry, physics. Opinions are my own.🤖🔬
Materials Scientist at Humboldt University of Berlin | @fairmat.bsky.social | #NOMAD (https://nomad-lab.eu/nomad-lab/).
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
Assistant Professor at EPFL, ML/AI-accelerated Chemistry & Synthesis | Educating the next generation of chemists and leading a fantastic team (https://schwallergroup.github.io) | Previously IBM Research / Uni Bern / Uni Cambridge / EPFL | he/his
Asst. Prof. of Chemical Engineering at the University of Toronto| #AI4Science, #MachineLearning and #AI for the Chemical Sciences
RS at at GDM, Science Team. Prev: Google Brain
ML Scientist @ MatNex
Doctoral Prize Fellow; PhD @ Imperial College London
1. A blog to help chemists find jobs. (chemjobber.com) 2. Towards a quantitative understanding of the quality of the chemistry job market
The community is the message * Crystal MOOC Maker * Lecturer * Chemist * MOF & crystallography lover
http://crystalsymmetry.wordpress.com
John G. Searle Professor of Chemical & Biological Engineering at Northwestern University