collaborators

5 papers

cond-mat.mtrl-sci2025

Microstructural and preliminary optical and microwave characterization of erbium doped CaMoO thin films

Ignas Masiulionis, Bonnie Y. X. Lin, Sagar Kumar Seth +10

This work explores erbium-doped calcium molybdate (CaMoO) thin films grown on silicon and yttria stabilized zirconia (YSZ) substrates, as a potential solid state system for C-b…

cond-mat.mtrl-sci2025

Surrogate models to optimize plasma assisted atomic layer deposition in high aspect ratio features

Angel Yanguas-Gil, Jeffrey W. Elam

In this work we explore surrogate models to optimize plasma enhanced atomic layer deposition (PEALD) in high aspect ratio features. In plasma-based processes such as PEALD and atom…

cs.AI2025

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants

Franck Cappello, Sandeep Madireddy, Robert Underwood +23

Recent advancements have positioned AI, and particularly Large Language Models (LLMs), as transformative tools for scientific research, capable of addressing complex tasks that req…

cs.LG2024

Benchmarking large language models for materials synthesis: the case of atomic layer deposition

Angel Yanguas-Gil, Matthew T. Dearing, Jeffrey W. Elam +5

In this work we introduce an open-ended question benchmark, ALDbench, to evaluate the performance of large language models (LLMs) in materials synthesis, and in particular in the f…

cond-mat.mtrl-sci2024

Modeling scale-up of particle coating by atomic layer deposition

Angel Yanguas-Gil, Jeffrey W. Elam

Atomic layer deposition (ALD) is a promising technique to functionalize particle surfaces for energy applications including energy storage, catalysis, and decarbonization. In this…