4 papers
AEcroscopyWave: Towards Self-Driving Characterization Platforms for Agentic AI
Yongtao Liu, Jawad Chowdhury, Ganesh Narasimha +8
The characterization of electronic materials has traditionally been stratified into two distinct regimens: industry-scale automated systems to inspect materials for defects and ens…
Active Learning for Tractable and Reproducible Pulsed Laser Deposition
Jackson S. Bentley, Christopher Rouleau, Ilia N. Ivanov +8
This paper shows how data-driven machine learning approaches can improve growth control, reproducibility, and physical insight in the pulsed laser deposition (PLD) growth of correl…
Thermal and Size Effects in Ferroelastic Domains by Machine Learning
Luka Geddis Zellmann, Sumner B. Harris, John R. R. Scott +4
Ferroelastic domain walls (DWs) underpin key functionalities in complex oxides. In free-standing ferroic thin films, where elastic interactions are highly thickness dependent, unde…
Auto-3DPFM: Automating Polarization-Vector Mapping at the Nanoscale
Ralph Bulanadi, Marti Checa, Michelle Wang +9
The functional properties of ferroelectric materials are strongly influenced by ferroelectric polarization orientation; as such, access to consistent and precise characterization o…