1 citations · 1 across the 9 of their papers we have counts for
9 papers
Apparent Planckian scattering from local polaron formation
Brian Yong-Ho Lee, Chaitanya Murthy
We propose a simple mechanism for apparent Planckian scattering based on local polaron formation, in which with emerges from quasie…
Multi-Fidelity Predictive Model for Shock Response of Energetic Materials Using Conditional U-Net
Brian H. Lee, Chunyu Li, Aidan Pantoya +3
Mapping microstructure to properties is central to materials science. Perhaps most famously, the Hall-Petch relationship relates average grain size to strength. More challenging ha…
Thermodynamic Fidelity of Generative Models for Ising System
Brian H. Lee, Kat Nykiel, Ava E. Hallberg +2
Machine learning has become a central technique for modeling in science and engineering, either complementing or as surrogates to physics-based models. Significant efforts have rec…
Accelerating active learning materials discovery with FAIR data and workflows: a case study for alloy melting temperatures
Mohnish Harwani, Juan C. Verduzco, Brian H. Lee +1
Active learning (AL) is a powerful sequential optimization approach that has shown great promise in the discovery of new materials. However, a major challenge remains the acquisiti…
Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials
Robert J. Appleton, Daniel Klinger, Brian H. Lee +6
Data science and artificial intelligence are playing an increasingly important role in the physical sciences. Unfortunately, in the field of energetic materials data scarcity limit…
Shortcut to adiabaticity improvement of STIRAP based qubit rotation
Khayla Black, Xi Chen, Tim Byrnes
Robust quantum control is essential for the development of quantum computers, which rely on precise manipulation of qubits. One form of quantum control is stimulated Raman adiabati…
Graph neural network coarse-grain force field for the molecular crystal RDX
Brian H. Lee, James P. Larentzos, John K. Brennan +1
Condense phase molecular systems organize in wide range of distinct molecular configurations, including amorphous melt and glass as well as crystals often exhibiting polymorphism,…
Lennard Jones Token: a blockchain solution to scientific data curation
Brian H. Lee, Alejandro Strachan
Data science and artificial intelligence have become an indispensable part of scientific research. While such methods rely on high-quality and large quantities of machine-readable…
Mapping microstructure to shock-induced temperature fields using deep learning
Chunyu Li, Juan Carlos Verduzco, Brian H. Lee +2
The response of materials to dynamical, or shock, loading is important to planetary science, aerospace engineering, and energetic materials. Thermal-activated processes, including…