28 citations · 79 across the 12 of their papers we have counts for
5 papers · 1 filter
Physically Interpretable Interatomic Potentials via Symbolic Regression and Reinforcement Learning
Bilvin Varughese, Troy D. Loeffler, Suvo Banik +9
The development of next-generation molecular simulation models requires moving beyond pre-defined functional forms toward machine learning (ML) techniques that directly capture mul…
Proton distribution visualization in perovskite nickelate devices utilizing nanofocused X-rays
Ivan A. Zaluzhnyy, Peter O. Sprau, Richard Tran +17
We use a 30-nm x-ray beam to study the spatially resolved properties of a SmNiO-based nanodevice that is doped with protons. The x-ray absorption spectra supported by density-f…
Learning with Delayed Rewards -- A case study on inverse defect design in 2D materials
Suvo Banik, Troy D Loeffler, Rohit Batra +3
Defect dynamics in materials are of central importance to a broad range of technologies from catalysis to energy storage systems to microelectronics. Material functionality depends…
High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming
Tao Zhou, Mathew Cherukara, Charudatta Phatak
Lorentz transmission electron microscopy is a unique characterization technique that enables the simultaneous imaging of both the microstructure and functional properties of materi…
Perovskite Quantum Organismoids
Fan Zuo, Priyadarshini Panda, Michele Kotiuga +14
A central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making1-3. This behavior, known as h…