Nathan Brown

“Deep reinforcement learning for engineering design through topology optimization of elementally discretized design domains”

Nathan Brown, Anthony Garland, Georges Fadel et al. · Materials & Design · 2022 · 69 citations · Full text

Architecture, Computational Engineering, Design Automation +14

Deep reinforcement learning for the rapid on-demand design of mechanical metamaterials with targeted nonlinear deformation responses

Nathan Brown, Anthony Garland, Georges Fadel et al. · Engineering Applications of Artificial Intelligence · 2023 · 56 citations · Full text

Engineering, Materials Science, Mechanical Engineering +17

Loading dependent swelling and release properties of novel biodegradable, elastic and environmental stimuli-sensitive polyurethanes

Changhong Zhang, Kejia Zhao, Tianyi Hu et al. · Journal of Controlled Release · 2008 · 55 citations

Natural Sciences, Materials Engineering, Materials Science +16

Deep reinforcement learning for the design of mechanical metamaterials with tunable deformation and hysteretic characteristics

Nathan Brown, Amit Deshpande, Anthony Garland et al. · Materials & Design · 2023 · 31 citations · Full text

Engineering, Materials Engineering, Mechanical Engineering +15

Optimized design of interlocking metasurfaces

Nathan Brown, Benjamin Young, Brett W. Clark et al. · Materials & Design · 2023 · 17 citations · Full text

Architecture, Materials Engineering, Materials Science +15