Danial Khatamsaz

Bayesian optimization with active learning of design constraints using an entropy-based approach

Danial Khatamsaz, Brent Vela, Prashant Singh et al. · npj Computational Materials · 2023 · 109 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

Multi-objective materials bayesian optimization with active learning of design constraints: Design of ductile refractory multi-principal-element alloys

Danial Khatamsaz, Brent Vela, Prashant Singh et al. · Acta Materialia · 2022 · 103 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

A physics informed bayesian optimization approach for material design: application to NiTi shape memory alloys

Danial Khatamsaz, Raymond Neuberger, Arunabha M. Roy et al. · npj Computational Materials · 2023 · 62 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +16

Data-augmented modeling for yield strength of refractory high entropy alloys: A Bayesian approach

Brent Vela, Danial Khatamsaz, Cafer Acemi et al. · Acta Materialia · 2023 · 50 citations

Natural Sciences, Materials Engineering, Materials Science +17

Towards inverse microstructure-centered materials design using generative phase-field modeling and deep variational autoencoders

Vahid Attari, Danial Khatamsaz, Douglas Allaire et al. · Acta Materialia · 2023 · 44 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +16