Claudio Zeni
Senior Researcher
About
Claudio Zeni is a Senior Researcher at Microsoft Research Cambridge – AI for Science, working on machine learning for the simulation and discovery of materials, with a particular focus on generative models and data-driven approaches for materials design.
He holds a PhD in Computational Physics from King’s College London, where his research focused on machine learning methods for modelling materials at the atomistic scale. Prior to joining Microsoft Research, Claudio held a postdoctoral position where he worked on computational physics, data science, and machine learning.
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MatterGen: a generative model for inorganic materials design - paper
The design of functional materials with desired properties is essential in driving technological advances in areas like energy storage, catalysis, and carbon capture. Generative models provide a new paradigm for materials design by directly generating entirely novel materials given desired…
MatterGen: a generative model for inorganic materials design - blog
The design of functional materials with desired properties is essential in driving technological advances in areas like energy storage, catalysis, and carbon capture. Generative models provide a new paradigm for materials design by directly generating entirely novel materials given desired…