AIchemy

Today is the last day to apply for our Winter School. Have you submitted your application? 👀

Excited to share an incredible opportunity for researchers in digital chemistry and AI! Join us at the Robotics and AI for Materials Chemistry Winter School! A five-day intensive training programme hosted by the University of Liverpool. 📅8 - 12 December 2025. 💷 Cost: £100 (excludes travel & accommodation) This Winter School is designed for PhD students, early-career researchers, and anyone eager to build hands-on skills in: • Digital twins for robotic chemists • Bayesian optimisation for chemical discovery • AI-driven robotic chemists • Robotic manipulation for lab automation • Simulation of robotic chemists • Computer vision-led chemistry • Multi-modal machine learning for science • Agentic AI-based discovery • Human-in-the-loop robotic discovery Featuring talks from leading experts including: Felix Hanke (CuspAI) Michele Caprio (University of Manchester) Subramanian Ramamoorthy (University of Edinburgh) Bojana Ranković (EPFL) 🔗 For more info and to apply click here ➡️ : https://lnkd.in/eqvnw_R6 Please note: A strong working knowledge of Python is recommended to get the most out of the practical sessions. #AI #Robotics #DigitalChemistry #MaterialsScience #MachineLearning #ResearchTraining #WinterSchool #AIchemy

Upcoming New Event: New Starters in AI for Chemistry 📍 Cloth Hall Court, University of Leeds 🗓️ 27 January 2026 | 09:00 - 17:00 Are you a recently appointed academic, postdoctoral researcher, or late-stage PhD student working at the interface of AI and chemistry? Join us for a one-day symposium bringing together the next generation of researchers driving innovation across the chemical sciences. Our aim is to build a supportive and inclusive community where you can learn, share experiences, and explore topical areas such as molecular and materials design, generative models, robotics and automation for autonomous experimentation, data-driven simulation, and green and sustainable chemistry. Abstract submissions now open! • Early-career academics → Oral presentations • Postdocs → Oral or poster presentations • PhD students → Poster presentations 📅 Key dates: • Application deadline: 14 Nov 2025 • Notification of acceptance: : 21 Nov 2025 🔗 Register and submit your abstract here ➡️: https://lnkd.in/eG8EAkvx #AIinChemistry #MachineLearning #ChemistryResearch #EarlyCareerResearchers #AIchemyHub

The Nobel Prize 2025 in Chemistry has been awarded for the development of metal–organic frameworks (MOFs). Read comments from our AIchemy Hub’s Co-Director Prof. Kim Jelfs and Co-Investigator Prof. Becky Greenaway featured in CNN, Financial Times, The Guardian, The New York Times and Chemistry World. CNN: https://lnkd.in/gzSw6ngc Financial times: https://lnkd.in/evywK9uu Guardian: https://lnkd.in/gNz6R-e7 NY Times: https://lnkd.in/gfP-m5ub Chemistry World: https://lnkd.in/e5eJ8-8w Congratulations to the Nobel laureates and to all researchers advancing the frontiers of materials chemistry! #NobelPrize #Chemistry #MOFs #AIchemyHub #MaterialsScience

Quick update: For the past 8 weeks I’ve had the privilege of working with (learning from really) the Machine Learning department of the UK’s biggest AI-Chemistry research groups led by Professor Andrew Cooper. What initially drew me to choosing the Cooper group was their innovative new approach to materials discovery. The Cooper Group employs robotics, computational prediction and digital optimisation to develop autonomous methods that can speed up and refine the exploration of the vast chemical space. The main goal of the internship was to acquire as many Machine Learning tools for closed loop chemical discovery as possible in the given timeframe, along with benchmarking and orientation for materials development. For helping me accomplish this feat, a huge thank you to Dr Mengjia Zhu, Dr Xenofon Evangelopoulos and Abdoulatif Cise for teaching me so much and answering my never ending questions. Also a final thank you to AIchemy for providing the funding to make this possible. Coming up with different applications for these important tools is now the next logical step, and is what led me to my second internship this summer working with Dr Haotian Chen (University of Michigan) and Professor Richard G. Compton (University of Oxford). I will be working on using physics informed neural networks in the field of electrochemistry and hopefully publishing a paper 🙏 🔗 PINNs in Voltammetry paper - https://lnkd.in/gmVBmjbQ 🔗 AIchemy website - https://aichemy.ac.uk

🌱🤖 AI INFUSED - Don’t Miss Out! Join the AIchemy and the Sustainable Chemicals and Materials Manufacturing Hub (SCHEMA) for a one-day in-person symposium exploring how AI and digitalisation are transforming chemistry and sustainable manufacturing. Discover: 🔹 Advanced AI methods and automation in chemistry 🔹 Digital strategies for sustainable chemical and materials manufacturing 🔹 Opportunities for collaboration with leading experts in the field 📅 11th November 2025 📍 SCI, London Seats are limited – this is a unique chance to connect with national leaders in AI and sustainable manufacturing. 👉 Register now to secure your place!

✨ What a fantastic day at the OChRA Workshop on Tuesday 30th September! We welcomed delegates from across the community for a hands-on training session, exploring new tools and practical applications. A big thank you to Hatem Fakhruldeen for hosting and to all who attended and contributed, we’re excited to see how these skills and ideas are put into practice. Stay tuned for more resources and upcoming events! #OChRA #Workshop #Training #Chemistry #AI #Collaboration

📢 Great News! We’re delighted to share that our collaboration with SOLVE Chemistry has resulted in a NeurIPS 2025 Datasets & Benchmarks paper! This dataset on solvent selection for process development will underpin our upcoming AIchemy Datathon, running in the next few weeks 🧪💻. Please look out for details on how to take part, and huge thanks to everyone involved for making this exciting open-source resource possible! Check out Solve’s full announcement below for the paper, dataset, and code. 👇 #AIchemy #ChemistryAI #Datathon #NeurIPS2025 #AIforScience

💡✨ Got an idea for a workshop? At AIchemy, we’re always looking to support new ideas that bring together AI and chemistry. Whether it’s training, collaboration, or knowledge-sharing, we can help turn your concept into reality. 👉 See how AIchemy can help https://lnkd.in/ew4tDXUf