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Materials discovery accelerated by ML (not AI 😉), with Haofan, Yu Che, Xiaobo, & Andy Cooper doi.org/10.1021/jacs.3…

Machine Learning Accelerated Exploration of 3- Organic Heterojunction Photocatalysts for Sacrificial H2 Evolution Leverhulme Research Centre - Materials Design School of Physical Sciences A I Cooper group UoB Computer Science Uni of Birmingham #MachineLearning #Heterojunction #Photocatalysis #H2 #Evolution pubs.acs.org/doi/10.1021/ja…

Now published in Chemical Science. If you liked our preprint, then you might also like some additional tests on the robustness of fine-tuned GPT-3 models. Lots of thanks to the reviewers for suggesting them 😁 ZikaiXie, @Omer_Omarr, Alessandro Troisi, Andy Cooper doi.org/10.1039/D3SC04…

Back in the UK, after my 6th, and final, trip to China this year 🧑‍🎤 Lots to look forward to next year🦸 Now, some quiet, family time 🧘

Our latest is out! Over the last year, my student Hasan Sayeed and I had the pleasure of working with Rosseinsky Group members to bring machine learning approaches into their already capable FUSE code for crystal structure prediction. Unsurprisingly, using generative machine

Meet Eunomia, our AI agent for materials datasets! 🤖 It's easy to use, has RAG and chain of verification 🤓, shows high performance across different NLP tasks 🚀, and more... 🎉 Live App: eunomia.streamlit.app Paper: arxiv.org/abs/2312.11690 Code: github.com/AI4ChemS/Eunom…

The wait is over! The official website of ISMSC-2024 is now online: ismsc2024.com. Registration is also open. We look forward to seeing you all in Hangzhou, China next May! Team ISMSC @ISMSC2024

Andrew Sue Team ISMSC ISMSC2024 Welcome to Hangzhou for ISMSC 2024. We are delighted to extend our warm invitation to visit Westlake University during your stay. If you are interested, please feel free to reach out to me via email [email protected]. It is my utmost pleasure to welcome you during your visit.

Took a long time in the making but here it is: Progress toward the computational discovery of new metal–organic framework adsorbents for energy applications nature.com/articles/s4156… Many thanks to Randall Snurr and Yongchul Chung . UCL UCL Chemical Engineering

Congratulations to Prof Andrew Cooper on being elected as a Foreign Member of the Chinese Academy of Sciences - one of the highest honours that China bestows 🙌 Prof Cooper’s research is pushing boundaries in AI, robotics & chemistry. Read more ➡️ brnw.ch/21wFXxm

Happy to share our latest article “Design of piezoelectric organic cage salts energy harvesting” is out now. Thanks for the contributions from all co-authors.

I have two PhD opportunities in my group. If you're passionate about new materials discovery and solid-state #NMR, this could be for you 🙂 FindAPhD findaphd.com/phds/projectde… findaphd.com/phds/projectde…

A tour de force from Muyu, a Master's student who visited the group last year, on a 6-months CSC scholarship 🎉 And, there's more to come 🤓 doi.org/10.1021/acsami…

An honour to be named amongst the 2024 Thieme Chemistry Journal awardees! UoBChemistry Many thanks to Chemistry at Thieme and congratulations to the 2024 awardees! thieme.de/en/thieme-chem…

Two #PhD positions open in my group once we move to UoBChemistry in April 2024! Interested in #compchem #materials #MachineLearning? Apply by March 1 at birmingham.ac.uk/schools/chemis… #PhDjobs #chemPhD Please spread the word!

Llama 3 + agents + robots + automated exptl. stations + your demand >>> doi.org/10.26434/chemr…

Chemistry laboratories most commonly operate in a multi-researcher, multi-task mode. So can autonomous chemistry laboratories do. Introducing our multi-robot-multi-task scheduling system: doi.org/10.26434/chemr…

Physics-informed dual-objective Bayesian optimization of high-entropy-alloy nanozymes, with LLM-in-the-loop experimental data analysis, by a robotic AI chemist doi.org/10.26434/chemr…

Tap into the unlimited potential of machine learning potentials - in this case, we have hydrogen bonding, halogen bonding, and phase transitions 🤯 doi.org/10.26434/chemr…

LLMs at your service: Knowledge discovery from porous organic cages literature using a large language model doi.org/10.26434/chemr…