Troy Loefller
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View article: A Continuous Action Space Tree search for INverse desiGn (CASTING) framework for materials discovery
A Continuous Action Space Tree search for INverse desiGn (CASTING) framework for materials discovery Open
Material properties share an intrinsic relationship with their structural attributes, making inverse design approaches crucial for discovering new materials with desired functionalities. Reinforcement Learning (RL) approaches are emerging …
View article: A Continuous Action Space Tree search for INverse desiGn (CASTING) Framework for Materials Discovery
A Continuous Action Space Tree search for INverse desiGn (CASTING) Framework for Materials Discovery Open
Fast and accurate prediction of optimal crystal structure, topology, and microstructures is important for accelerating the design and discovery of new materials. A challenge lies in the exorbitantly large structural and compositional space…