activity
20212025
most citedDeep learning with plasma plume image sequences for anomaly detection and prediction of growth kinetics during pulsed laser deposition

12 citations · 26 across the 6 of their papers we have counts for

collaborators

8 papers

cond-mat.mtrl-sci2025

Human-AI collaborative autonomous synthesis with pulsed laser deposition for remote epitaxy

Asraful Haque, Daniel T. Yimam, Jawad Chowdhury +10

Autonomous laboratories typically rely on data-driven decision-making, occasionally with human-in-the-loop oversight to inject domain expertise. Fully leveraging AI agents, however…

cond-mat.mtrl-sci2025

Ferroelastic Domain Induced Electronic Modulation in Halide Perovskites

Ganesh Narasimha, Maryam Bari, Benjamin J Lawrie +6

Lead halide perovskites have emerged as promising materials for optoelectronic applications due to their exceptional properties. In the all-inorganic CsPbBr3 perovskites, ferroelas…

cond-mat.mtrl-sci2025

Atom identification in bilayer moire materials with Gomb-Net

Austin C. Houston, Sumner B. Harris, Hao Wang +4

Moire patterns in van der Waals bilayer materials complicate the analysis of atomic-resolution images, hindering the atomic-scale insight typically attainable with scanning transmi…

cond-mat.mtrl-sci2025★ 9 cited

Deep learning with reflection high-energy electron diffraction images to predict cation ratio in SrTiO thin films

Sumner B. Harris, Patrick T. Gemperline, Christopher M. Rouleau +2

Machine learning (ML) with in situ diagnostics offers a transformative approach to accelerate, understand, and control thin film synthesis by uncovering relationships between synth…

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-sci2024★ 1 cited

Active oversight and quality control in standard Bayesian optimization for autonomous experiments

Sumner B. Harris, Rama Vasudevan, Yongtao Liu

The fusion of experimental automation and machine learning has catalyzed a new era in materials research, prominently featuring Gaussian Process Bayesian Optimization (GPBO) driven…

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…

physics.plasm-ph2021★ 4 cited

Experimentally constrained multidimensional simulation of laser-generated plasmas and its application to UV nanosecond ablation of Se and Te

Sumner B. Harris, Jacob. H. Paiste, Joseph Edoki +2

We carry out simulations of laser plasmas generated during UV nanosecond pulsed laser ablation of the chalcogens selenium (Se) and tellurium (Te), and compare the results to experi…