3 papers
cs.LG2026
Unlocking Latent Dimensions: Exploring Representations of Large-Scale X-ray Scattering Data using Variational Autoencoders
Monika Choudhary, Xiaoya Chong, Runbo Jiang +25
Scientific user facilities generate X-ray scattering data faster than traditional workflows can process them. We address this challenge across two settings, offline dataset explora…
cond-mat.mtrl-sci2025
Machine Learning Framework for Characterizing Processing-Structure Relationship in Block Copolymer Thin Films
Bradley Lamb, Saroj Upreti, Yunfei Wang +5
The morphology of block copolymers (BCPs) critically influences material properties and applications. This work introduces a machine learning (ML)-enabled, high-throughput framewor…
cond-mat.soft2024
A twist-grain boundary (TGB) phase in aqueous solutions of the DNA tetramer GTAC
Gregory P. Smith, Chenhui Zhu, Mikhail Zernenkov +2
We report the observation of a Twist Grain Boundary (TGB) phase of DNA, a striking motif of three dimensional (3D) equilibrium self-assembly of the DNA tetramer 5'-GTAC-3', a base…