Data-Driven Nonlinear Deformation Design of 3D-Printable Shells

1 code implementation • 27 Aug 2024 • Samuel Silverman, Kelsey L. Snapp, Keith A. Brown, Emily Whiting

Trained on thousands of physical experiments, our network aids in both forward and inverse design to generate shells exhibiting desired elastoplastic and hyperelastic deformations.

Designing Composites with Target Effective Young's Modulus using Reinforcement Learning

no code implementations • 7 Oct 2021 • Aldair E. Gongora, Siddharth Mysore, Beichen Li, Wan Shou, Wojciech Matusik, Elise F. Morgan, Keith A. Brown, Emily Whiting

Advancements in additive manufacturing have enabled design and fabrication of materials and structures not previously realizable.

reinforcement-learning Reinforcement Learning +1

Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains

1 code implementation • 23 May 2021 • Qiaohao Liang, Aldair E. Gongora, Zekun Ren, Armi Tiihonen, Zhe Liu, Shijing Sun, James R. Deneault, Daniil Bash, Flore Mekki-Berrada, Saif A. Khan, Kedar Hippalgaonkar, Benji Maruyama, Keith A. Brown, John Fisher III, Tonio Buonassisi

In the field of machine learning (ML) for materials optimization, active learning algorithms, such as Bayesian Optimization (BO), have been leveraged for guiding autonomous and high-throughput experimentation systems.

Active Learning Benchmarking +3