9 citations · 13 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…