Can Large Language Models Learn the Physics of Metamaterials? An Empirical Study with ChatGPT

no code implementations • 23 Apr 2024 • Darui Lu, Yang Deng, Jordan M. Malof, Willie J. Padilla

LLMs possess some advantages over humans that may give them benefits for research, including the ability to process enormous amounts of data, find hidden patterns in data, and operate in higher-dimensional spaces.

Deep Active Learning for Scientific Computing in the Wild

no code implementations • 31 Jan 2023 • Simiao Ren, Yang Deng, Willie J. Padilla, Leslie Collins, Jordan Malof

Deep learning (DL) is revolutionizing the scientific computing community.

Active Learning Image Classification

Towards Robust Deep Active Learning for Scientific Computing

no code implementations • 29 Jan 2022 • Simiao Ren, Yang Deng, Willie J. Padilla, Jordan Malof

Deep learning (DL) is revolutionizing the scientific computing community.

Active Learning Image Classification +1

Inverse deep learning methods and benchmarks for artificial electromagnetic material design

2 code implementations • 19 Dec 2021 • Simiao Ren, Ashwin Mahendra, Omar Khatib, Yang Deng, Willie J. Padilla, Jordan M. Malof

Deep learning (DL) inverse techniques have increased the speed of artificial electromagnetic material (AEM) design and improved the quality of resulting devices.

Robust Design