activity
20162025
most citedCharacterization of microscopic deformation through two-point spatial correlation function

18 citations · 42 across the 13 of their papers we have counts for

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Showing cond-mat.softShow all

9 papers · 1 filter

cond-mat.soft2025

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…

cond-mat.soft2025

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…

cond-mat.soft2025★ 1 cited

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…

cond-mat.soft2024★ 9 cited

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…

cond-mat.soft2021

Determining Hydration Level in Self-Assembled Structures Using Contrast Variation Small Angle Neutron Scattering

Albert Y. Ho, Guan-Rong Huang, Wei-Ren Chen

We outline a strategy for quantitatively evaluating the conformational characteristics of self-assembled structures using the techniques of contrast variation small angle neutron s…

cond-mat.soft2021

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…

cond-mat.soft2017★ 1 cited

Strain Heterogeneity in Sheared Colloids Revealed by Neutron Scattering

Kevin Chen, Bin Wu, Guan-Rong Huang +2

Recent computational and theoretical studies have shown that the deformation of colloidal suspensions under a steady shear is highly heterogeneous at the particle level and demonst…

cond-mat.soft2017★ 18 cited

Characterization of microscopic deformation through two-point spatial correlation function

Guan-Rong Huang, Bin Wu, Yangyang Wang +1

The molecular rearrangements of most fluids under flow and deformation do not directly follow the macroscopic strain field. In this work, we describe a phenomenological method for…

cond-mat.soft2016★ 12 cited

Local Elasticity in Nonlinear Rheology of Interacting Colloidal Glasses Revealed by Neutron Scattering and Rheometry

Zhe Wang, Takuya Iwashita, Lionel Porcar +7

The flow of colloidal suspensions is ubiquitous in nature and industry. Colloidal suspensions exhibit a wide range of rheological behavior, which should be closely related to the m…