1 citations · 1 across the 3 of their papers we have counts for
7 papers
Absence of lateral domain wall mobility in Zn1-xMgxO thin films
Jack Eckstein, Kyle P. Kelley, William Prudnick +4
Polarization reversal in ferroelectrics arises from the coupled processes of domain nucleation and subsequent growth, yet the governing mechanisms differ fundamentally between clas…
Quality-Controlled Active Learning via Gaussian Processes for Robust Structure-Property Learning in Autonomous Microscopy
Jawad Chowdhury, Ganesh Narasimha, Jan-Chi Yang +2
Autonomous experimental systems are increasingly used in materials research to accelerate scientific discovery, but their performance is often limited by low-quality, noisy data. T…
Accelerating Structure-Property Relationship Discovery with Multimodal Machine Learning and Self-Driving Microscopy
Jiawei Gong, Danqing Ma, Ralph Bulanadi +4
Microscopy combined with local spectroscopy is widely used to correlate nanoscale structure with functional properties in materials, but conventional measurements rely heavily on h…
Beyond Scalar Objectives: Expert-Feedback-Driven Autonomous Experimentation for Scientific Discovery at the Nanoscale
Ralph Bulanadi, Jefferey Baxter, Arpan Biswas +5
Self-driving laboratories or autonomous experimentation are emerging as transformative platforms for accelerating scientific discovery. Bayesian optimization (BO) is among the most…
Inference-Sufficient Representations for High-Throughput Measurement: Lessons from Lossless Compression Benchmarks in 4D-STEM
Ondrej Dyck, Andrew R. Lupini, Albina Borisevich +3
Four-dimensional scanning transmission electron microscopy (4D-STEM) generates multi-gigabyte datasets, creating a growing mismatch between acquisition rates and practical storage,…
Autonomous Fabrication of Tailored Defect Structures in 2D Materials using Machine Learning-enabled Scanning Transmission Electron Microscopy
Zijie Wu, Kevin M. Roccapriore, Ayana Ghosh +5
Materials with tailored quantum properties can be engineered from atomic scale assembly techniques, but existing methods often lack the agility and accuracy to precisely and intell…