5 papers
Thermal and Size Effects in Ferroelastic Domains by Machine Learning
Luka Geddis Zellmann, Sumner B. Harris, John R. R. Scott +4
Ferroelastic domain walls (DWs) underpin key functionalities in complex oxides. In free-standing ferroic thin films, where elastic interactions are highly thickness dependent, unde…
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…
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…
Improvement of Data Analytics Techniques in Reflection High Energy Electron Diffraction to Enable Machine Learning
Patrick T. Gemperline, Rajendra Paudel, Rama K. Vasudevan +1
Perovskite oxides such as LaFeO are a well-studied family of materials that possess a wide range of useful and novel properties. Successfully synthesizing perovskite oxide samp…
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…