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By now, everyone has heard about the OpenAI-Navier-Stokes saga and the resulting existential crisis in mathematics. My own experience with the rapidly improving capabilities of AI in materials simulation has pushed me to ask the same question of my own field: will materials theorists become redundant? At the risk of spoiling the conclusion, my answer is no, because I have spent my entire career trying to make myself redundant and I haven’t quite succeeded. 2006: My first pa

We held our first monthly group lunch at the excellebt South and East restuarant at the NUS Shaw Foundation Alumni House today. It is also an opportunity for us to say farewell to Chebgrui Xu, who has done exrraordinary work with us for the past 2 months as an exchange student. Chengrui will be heading back Tsinghua University soon, but his work here will definitely continue. We wish him all the best on the remainder of his undergraduate studies, and hope to see him again in

Prof. Shyue Ping Ong has been awarded the National Research Foundation's Returning Singaporean Scientists award to establish the Materialyze.AI Lab at NUS and build an AI foundry that compresses the 15-year materials development cycle.

We took our very first Materialyze group photo at NUS today!

Foundation potentials (FPs), i.e., universal machine learning interatomic potentials with periodic-table-wide coverage, are now proliferating. New pre-trained FPs seem to appear almost daily, making hyped-up claims about performance. For those not deep in the field, it’s becoming increasingly difficult to separate signal from noise. Here’s my expert, very opinionated take on how to choose an FP that actually fits your needs. 1️⃣ Dataset quality and size drive everything. Arch

At Materialyze.AI Lab, we are on a mission to pioneer the integration of theory, experiments, and AI to accelerate the discovery and deployment of breakthrough materials. We welcome postdoctoral and PhD applicants. We believe that the right team can make all the difference. Our Core Values At Materialyze.AI Lab, our core values guide everything we do. Here are the key principles we stand by: Integrity : We practice integrity in all forms. We are honest and fair to fellow grou