9 citations · 47 across the 16 of their papers we have counts for
16 papers
Optimal Binning for Small-Angle Neutron Scattering Data Using the Freedman-Diaconis Rule
Jessie E. An, Chi-Huan Tung, Changwoo Do +1
Small-Angle Neutron Scattering (SANS) data analysis often relies on fixed-width binning schemes that overlook variations in signal strength and structural complexity. We introduce…
Universal Convergence Metric for Time-Resolved Neutron Scattering
Chi-Huan Tung, Lijie Ding, Yuya Shinohara +4
This work introduces a model-independent, dimensionless metric for predicting optimal measurement duration in time-resolved Small-Angle Neutron Scattering (SANS) using early-time d…
Deciphering the Scattering of Mechanically Driven Polymers using Deep Learning
Lijie Ding, Chi-Huan Tung, Bobby G. Sumpter +2
We present a deep learning approach for analyzing two-dimensional scattering data of semiflexible polymers under external forces. In our framework, scattering functions are compres…
Unlocking Hidden Information in Sparse Small-Angle Neutron Scattering Measurement
Chi-Huan Tung, Sidney Yip, Guan-Rong Huang +6
Small-angle neutron scattering (SANS) is a powerful technique for probing the nanoscale structure of materials. However, the fundamental limitations of neutron flux pose significan…
Desmearing two-dimensional small-angle neutron scattering data by central moment expansions
Guan-Rong Huang, Chi-Huan Tung, Weijian Hua +6
Resolution smearing is a critical challenge in the quantitative analysis of two-dimensional small-angle neutron scattering (SANS) data, particularly in studies of soft matter flow…
Machine Learning Inversion from Small-Angle Scattering for Charged Polymers
Lijie Ding, Chi-Huan Tung, Jan-Michael Y. Carrillo +2
We develop Monte Carlo simulations for uniformly charged polymers and machine learning algorithm to interpret the intra-polymer structure factor of the charged polymer system, whic…
Scattering Insights into Shear-Induced Scission of Rod-like Micelles
Guan-Rong Huang, Ryan P. Murphy, Lionel Porcar +3
Hypothesis Understanding the scission of rod-like micelles under mechanical forces is crucial for optimizing their stability and behavior in industrial applications. This study inv…
Elongated particles in flow: Commentary on small angle scattering investigations
Guan-Rong Huang, Lionel Porcar, Ryan P. Murphy +7
This work thoroughly examines several analytical tools, each possessing a different level of mathematical intricacy, for the purpose of characterizing the orientation distribution…
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-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…
Superior damage tolerance of fish skins
Emily Zhang, Chi-Huan Tung, Luyi Feng +1
Skin is the largest organ of many animals. Its protective function against hostile environments and predatorial attack makes high mechanical strength a vital characteristic. Here,…
A Machine Learning Inversion Scheme for Determining Interaction from Scattering
Chi-Huan Tung, Shou-Yi Chang, Jan-Michael Carrillo +3
We outline a machine learning strategy for determining the effective interaction in the condensed phases of matter using scattering. Via a case study of colloidal suspensions, we s…
Structural origin of plasticity in strained high-entropy alloy
Chi-Huan Tung, Guan-Rong Huang, Zhitong Bai +3
High-entropy alloys (HEAs) are solid solutions of multiple elements with equal atomic ratios which present an innovative pathway for de novo alloy engineering. While there exist ex…
Characterizing Hydration of SDS Micelles by Contrast Variation Small Angle Neutron Scattering
Katherine Chen, Chi-Huan Tung, Changwoo Do
Small-angle neutron scattering (SANS) from cationic globular micellar solutions composed of sodium dodecyl sulfate (SDS) and in water was studied with contrast variation approach.…