activity
20232026
most citedDeep learning with plasma plume image sequences for anomaly detection and prediction of growth kinetics during pulsed laser deposition

12 citations · 14 across the 3 of their papers we have counts for

collaborators

4 papers

physics.optics2026★ 2 cited

Direct observation of ultrafast defect-bound and free exciton dynamics in defect-engineered WS monolayers

Tae Gwan Park, Xufan Li, Kyungnam Kang +7

Defects in two-dimensional transition metal dichalcogenides (TMDCs) broadly affect their optical and electronic properties. Directly capturing the ultrafast processes of exciton tr…

cond-mat.mtrl-sci2024

Bayesian state estimation unlocks real-time control in thin film synthesis

Sumner B. Harris, Ruth Fajardo, Alexander A. Puretzky +3

The rapid validation of newly predicted materials through autonomous synthesis requires real-time adaptive control methods that exploit physics knowledge, a capability that is lack…

cond-mat.mtrl-sci2023★ 12 cited

Deep learning with plasma plume image sequences for anomaly detection and prediction of growth kinetics during pulsed laser deposition

Sumner B. Harris, Christopher M. Rouleau, Kai Xiao +1

Materials synthesis platforms that are designed for autonomous experimentation are capable of collecting multimodal diagnostic data that can be utilized for feedback to optimize ma…

cond-mat.mtrl-sci2023

When the atoms dance: exploring mechanisms of electron-beam induced modifications of materials with machine-learning assisted high temporal resolution electron microscopy

Matthew G. Boebinger, Ayana Ghosh, Kevin M. Roccapriore +6

Directed atomic fabrication using an aberration-corrected scanning transmission electron microscope (STEM) opens new pathways for atomic engineering of functional materials. In thi…