Events
Join us all year round at fun events below:

Workshop on Adaptive Experimental Design and Active Learning in the Real World
NeurIPS 2023 Workshop on Adaptive Experimental Design
Dec. 16, 2023

AI for Accelerated Materials Design NeurIPS '23 Workshop
The AI for Accelerated Materials Discovery (AI4Mat) Workshop 2023 provides an inclusive and collaborative platform where AI researchers and material scientists converge
Dec. 16, 2023

7th Materials and Machine Learning Meet: NeurIPS After-party
Join us for the 7th Materials and Machine Learning Meetup (M&M Meetup) in New Orleans.
Dec. 6, 2023

5th Materials and Machine Learning Meet (University of Surrey)
Join us for the 5th Materials and Machine Learning Meetup (M&M Meetup) in Guildford.
Nov. 8, 2023

3rd Materials and Machine Learning Meet (sponsored by Google for Startups)
Join us for the 3rd Materials and Machine Learning Meetup (M&M Meetup) in London.
Oct. 23, 2023

Munich Lab Automators episode III, 2023
Join the event to talk to lab automation enthusiasts located in Munich area.
Sept. 27, 2023

2nd Materials and Machine Learning Meetup (Cambridge)
Join us for the 2nd Materials and Machine Learning Meetup (M&M Meetup) in Cambridge.
Sept. 22, 2023

Materials and Machine Learning Meetup (parallel to Henry Royce Conference)
Join us for the Materials and Machine Learning Meetup (M&M Meetup) parallel to the Henry Royce Institute Conference
Sept. 6, 2023

Henry Royce Institute National Conference
Collaborate to Innovate, to explore the impact of materials innovation and understand more about how important collaboration across industry and academia is transforming businesses and industries.
Sept. 6, 2023

Accelerate23
Join us at Accelerate23 to discuss the latest algorithms for materials development.
Aug. 22, 2023

AI4Mat NeurIPS 2022 Workshop
Bringing together researchers and domain experts from both AI and materials science together to discuss interdisciplinary technical challenges in building towards the vision of Self-Driving Materials Laboratories.
Dec. 2, 2022
Get in touch
We will happily guide you through the emerging space of data-driven material discovery. We look forward to learn from your experience and problem space.