July 15, 2025
New publication on generative AI for inorganic materials
Our work on assessing generative AI materials design is now available in Materials Horizons.
Our team builds computational and experimental tools for engineering the properties of inorganic materials through synthesis design and control of atomic-scale transformations.
Using DFT and Monte Carlo methods to understand how atomic rearrangements underpin materials functionality.
Shedding light on materials synthesis by using high-temperature X-ray diffraction to monitor reactions in real time.
Developing foundation models to accelerate simulations and automate the analysis of experimental data.
Our work on assessing generative AI materials design is now available in Materials Horizons.
Our work on leveraging topology as a new descriptor for structure and bonding is now published in ACS Materials Letters.
Our perspective on computational methods for synthesis planning was recently published in ACS Energy Letters.