3 papers
cs.LG2025
Training-Free Active Learning Framework in Materials Science with Large Language Models
Hongchen Wang, Rafael Espinosa Castañeda, Jay R. Werber +3
Active learning (AL) accelerates scientific discovery by prioritizing the most informative experiments, but traditional machine learning (ML) models used in AL suffer from cold-sta…
cond-mat.mtrl-sci2025
Digital generation of the 3-D pore architecture of isotropic membranes using 2-D cross-sectional scanning electron microscopy images
Sima Zeinali Danalou, Hooman Chamani, Arash Rabbani +3
A major limitation of two-dimensional scanning electron microscopy (SEM) in imaging porous membranes is its inability to resolve three-dimensional pore architecture and interconnec…
cond-mat.mtrl-sci2023
Rapid Reconstruction of 3-D Membrane Pore Structure Using a Single 2-D Micrograph
Hooman Chamani, Arash Rabbani, Kaitlyn P. Russell +4
Conventional 2-D scanning electron microscopy (SEM) is commonly used to rapidly and qualitatively evaluate membrane pore structure. Quantitative 2-D analyses of pore sizes can be e…