activity
20202026
most citedCrystallography companion agent for high-throughput materials discovery

100 citations · 135 across the 6 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2026

Synthesis and Characterization of Compositionally Complex (Gd/Ho/Er/Dy)2Zr2O7 Thin Film Combinatorial Library

Dalton A. Pearl, Jade Holliman, Reece Emory +13

High-throughput synthesis and characterization of novel ceramic materials with improved thermomechanical properties and phase stability are needed to accelerate the discovery of ne…

cond-mat.mtrl-sci2023★ 1 cited

Emulating Expert Insight: A Robust Strategy for Optimal Experimental Design

Matthew R. Carbone, Hyeong Jin Kim, Chandima Fernando +7

The challenge of optimal design of experiments (DOE) pervades materials science, physics, chemistry, and biology. Bayesian optimization has been used to address this challenge in v…

cond-mat.mtrl-sci2023★ 2 cited

Self-driving Multimodal Studies at User Facilities

Phillip M. Maffettone, Daniel B. Allan, Stuart I. Campbell +11

Multimodal characterization is commonly required for understanding materials. User facilities possess the infrastructure to perform these measurements, albeit in serial over days t…

cs.LG2022

Machine learning enabling high-throughput and remote operations at large-scale user facilities

Tatiana Konstantinova, Phillip M. Maffettone, Bruce Ravel +3

Imaging, scattering, and spectroscopy are fundamental in understanding and discovering new functional materials. Contemporary innovations in automation and experimental techniques…

cond-mat.mtrl-sci2021

Deep learning for visualization and novelty detection in large X-ray diffraction datasets

Lars Banko, Phillip M. Maffettone, Dennis Naujoks +2

We apply variational autoencoders (VAE) to X-ray diffraction (XRD) data analysis on both simulated and experimental thin-film data. We show that crystal structure representations l…

physics.app-ph2021★ 32 cited

Constrained non-negative matrix factorization enabling real-time insights of and high-throughput experiments

Phillip M. Maffettone, Aidan C. Daly, Daniel Olds

Non-negative Matrix Factorization (NMF) methods offer an appealing unsupervised learning method for real-time analysis of streaming spectral data in time-sensitive data collection,…

cond-mat.mtrl-sci2020★ 100 cited

Crystallography companion agent for high-throughput materials discovery

Phillip M. Maffettone, Lars Banko, Peng Cui +5

The discovery of new structural and functional materials is driven by phase identification, often using X-ray diffraction (XRD). Automation has accelerated the rate of XRD measurem…