9 citations · 11 across the 3 of their papers we have counts for
4 papers · 1 filter
An Open-Source Hardware and Software Toolkit to Enable Agentic RHEED-Guided Thin-Film Synthesis
Asraful Haque, Christopher M. Rouleau, Rama K. Vasudevan +1
Reflection high-energy electron diffraction (RHEED) provides rich information about evolving surfaces during thin-film growth, but non-automated, operator-dependent alignment and f…
Active Learning for Tractable and Reproducible Pulsed Laser Deposition
Jackson S. Bentley, Christopher Rouleau, Ilia N. Ivanov +8
This paper shows how data-driven machine learning approaches can improve growth control, reproducibility, and physical insight in the pulsed laser deposition (PLD) growth of correl…
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…