9 citations · 56 across the 21 of their papers we have counts for
6 papers · 1 filter
Scattering-Based Structural Inversion of Soft Materials via Kolmogorov-Arnold Networks
Chi-Huan Tung, Lijie Ding, Ming-Ching Chang +8
Small-angle scattering (SAS) techniques are indispensable tools for probing the structure of soft materials. However, traditional analytical models often face limitations in struct…
Machine Learning-Informed Scattering Correlation Analysis of Sheared Colloids
Lijie Ding, Yihao Chen, Changwoo Do
We carry out theoretical analysis, Monte Carlo simulations and Machine Learning analysis to quantify microscopic rearrangements of dilute dispersions of spherical colloidal particl…
Machine Learning-Assisted Profiling of Ladder Polymer Structure using Scattering
Lijie Ding, Chi-Huan Tung, Zhiqiang Cao +5
Ladder polymers, known for their rigid, ladder-like structures, exhibit exceptional thermal stability and mechanical strength, positioning them as candidates for advanced applicati…
Machine Learning Inversion from Scattering for Mechanically Driven Polymers
Lijie Ding, Chi-Huan Tung, Bobby G. Sumpter +2
We develop a Machine Learning Inversion method for analyzing scattering functions of mechanically driven polymers and extracting the corresponding feature parameters, which include…
Off-Lattice Markov Chain Monte Carlo Simulations of Mechanically Driven Polymers
Lijie Ding, Chi-Huan Tung, Bobby G. Sumpter +2
We develop off-lattice simulations of semiflexible polymer chains subjected to applied mechanical forces using Markov Chain Monte Carlo. Our approach models the polymer as a chain…
ESAC (EQ-SANS Assisting Chatbot): Application of Large Language Models and Retrieval-Augmented Generation for Enhanced User Experience at EQ-SANS
Changwoo Do, Gergely Nagy, William T. Heller
Neutron scattering experiments have played vital roles in exploring materials properties in the past decades. While user interfaces have been improved over time, neutron scattering…