AI & ML interests

AI for materials science, machine learning interatomic potentials, foundation potentials

Recent Activity

shyuep  updated a model about 20 hours ago
materialyze/MEGNet-BandGap-mfi-MP-2019.4.1
shyuep  updated a dataset 5 days ago
materialyze/matpes
shyuep  updated a dataset 5 days ago
materialyze/bandgap.mfi.mp.2019.04.01
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Organization Card

The Materialyze.AI Lab at the National University of Singapore is a materials AI group focused on the cross-disciplinary application of materials science, computer science and machine learning to accelerate materials design. We develop cutting-edge software frameworks for automation of calculations, sophisticated data infrastructure for large materials data, and state-of-the-art machine learning models with high predictive accuracy.

Vision

Our vision is to bring forth a transformative leap in the speed and scale of materials design through data science and AI.

Mission

  • We develop techniques that effectively integrate materials science, computer science and information science.
  • We apply cutting-edge computational and experimental techniques to gain novel and useful insights into materials design.
  • We build open AI-scale software and data infrastructure for materials science.