Mater-AI

70% of the energy we
produce is lost as heat

Manufacturing, transport, and data centres are prime examples. But what if we could capture this waste and turn it into a valuable resource?

Thermoelectric materials
pave the way forward

With the incredible ability to directly convert waste heat into clean electricity. This innovative technology can revolutionise energy efficiency across various sectors, from everyday appliances to space exploration.

Pioneering a new era in
materials science for
semiconductors

We've developed a powerful physics based AI-driven R&D tool for discovering novel semiconductor materials. Used in-house to find the next generation of thermoelectrics, tackling our most pressing challenge,
climate change.

What the experts are saying

"His proposal to use Machine Learning to accelerate R&D processes in material science, beginning with thermoelectricity, is both innovative and promising"

Prof. David Quigley
Director of the Scientific Computing Research Technology Platform (SCRTP)

Department of Physics, University of Warwick

"What truly excites me… is its potential to revolutionise material science R&D. His application of Machine Learning to expedite the discovery and development of […] materials is not only visionary but also aligned with the evolving needs of the industry… I eagerly anticipate the impact of his venture"

Dr. Sara Sangtarash
Assistant Professor in Nanoelectronics and Leverhulme Fellow School of Engineering,
University of Warwick

"I’m still very interested in this problem. It sounds good that you are interested in ML for material science. […] looking forward to potential collaboration"

Dr. Ke Li UKRI FLF
Turing Fellow Senior Lecturer Department of Computer Science, University of Exeter

Co-create the future of materials
science with MATER-AI

Join us on our journey of discovery into the future of materials science

JOIN WAITLIST

Meet the team

Dr. Nickel Blankevoort
Co-Founder

Quantum Nanotechnology, Computational Materials Science

Uni. of Warwick, Entrepreneur First, ASML

Chelsea Williams
Co-Founder

Quantum Computing, AI, Computational Physics

PhD Uni. of Exeter, Uni. of Cambridge, NWM

Gatleen Bhambra
Co-Founder

Product Design, Product Management, Generative AI, Commercial

Jacquard, Revolut, Gate One

Keep up to date with the latest research from our founders

Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics
12 Apr 2024

Chelsea A. Williams, Antonio A. Gentile, Vincent E. Elfving, Daniel Berger, Oleksandr Kyriienko

Scaling of Quantum Interference from Single Molecules to Molecular Cages and their Monolayers
07 Nov 2022

Xiaohui Xu, Juejun Wang, Nickel Blankevoort, Abdalghani Daaoub, Sara Sangtarash, Jie Shi, Chao Fang, Saisai Yuan, Lichuan Chen, Junyang Liu, Yang Yang, Hatef Sadeghi, Wenjing Hong

Powering the future by unlocking hidden energy

At Mater-AI our physics based AI-powered platform unlocks the potential of waste heat. We're building a future where every device generates clean energy.