Patrick T. Gemperline

collaborators

2 papers

cond-mat.mtrl-sci2025

Deep learning with reflection high-energy electron diffraction images to predict cation ratio in Sr $_{2 x}$ Ti $_{2 (1 - x)}$ O $_{3}$ 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-sci2025

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 $_{3}$ 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 Sr2x​Ti2(1−x)​O3​ thin films

Improvement of Data Analytics Techniques in Reflection High Energy Electron Diffraction to Enable Machine Learning

Deep learning with reflection high-energy electron diffraction images to predict cation ratio in Sr $_{2 x}$ Ti $_{2 (1 - x)}$ O $_{3}$ thin films