56 citations · 57 across the 2 of their papers we have counts for
3 papers
Automated multiphase identification and refinement in powder diffraction using mismatch-tolerant machine learning
Lalit Yadav, Yongqiang Cheng, Mathieu Doucet
Powder diffraction is a primary structural characterization tool in materials science, yet automated phase identification remains a major bottleneck for autonomous discovery. Exist…
Extracting thin film structures of energy materials using transformers
Chen Zhang, Valerie A. Niemann, Peter Benedek +2
Neutron-Transformer Reflectometry and Advanced Computation Engine (N-TRACE ), a neural network model using transformer architecture, is introduced for neutron reflectometry data an…
On-the-fly Autonomous Control of Neutron Diffraction via Physics-Informed Bayesian Active Learning
Austin McDannald, Matthias Frontzek, Andrei T. Savici +8
Neutron scattering is a unique and versatile characterization technique for probing the magnetic structure and dynamics of materials. However, instruments at neutron scattering fac…