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Computational Materials Science & Machine Learning

MSE class led by Mahshid Ahmadi

Computational Materials Science

Dive into the virtual world where materials are designed and tested using powerful computers. Computational materials science is the frontier of predicting and simulating the properties of materials using quantum mechanics, thermodynamics, and kinetics, enabling us to explore new realms of materials innovation without setting foot in a lab. This field is perfect for those who want to merge theoretical knowledge with practical applications to revolutionize how we create and use materials.

Participating Faculty

We have several faculty who work in computational materials science. Explore their research interests and their profiles below.

Machine Learning

The intersection of machine learning and materials science is an exciting new domain where big data and predictive algorithms can lead to discovering new materials and optimizing their properties. For those intrigued by the idea of artificial intelligence accelerating the pace of materials discovery and eager to harness the power of data in shaping the future of materials, this field offers endless opportunities.

Participating Faculty

We have several faculty who work in computational materials science. Explore their research interests and their profiles below.