Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination

19 January 2021

Papers citing "Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination"

3 / 3 papers shown

Title
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics Cooper Lorsung A. Farimani AI4CE 26 0 0 02 Dec 2022
Deep Reinforcement Learning for Inverse Inorganic Materials Design Elton Pan Christopher Karpovich E. Olivetti AI4CE 19 11 0 21 Oct 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast Yuyang Wang Rishikesh Magar Chen Liang A. Farimani 43 78 0 18 Feb 2022