Yuya Shinohara R&D Associate Contact SHINOHARAY@ORNL.GOV All Publications Unlocking hidden information in sparse small-angle neutron scattering measurements Insights into distorted Lamellar Phases with Small Angle Scattering and Machine Learning Dynamical correlation between ions in liquid seen in real space and time Ab Initio Simulation of Medium-Range Ordering in Ionic Glass Electrolytes LiSiPON and LiNaSiPON Scattering-Based Structural Inversion of Soft Materials via Kolmogorov-Arnold Networks A discretized representation for Monte Carlo simulation of deformed semiflexible chains Ab initio simulated Van Hove correlation function for time-resolved local dynamics in molten MgCl2... X-ray Photon Correlation Spectroscopy Inferring Structure Factors of Charge Stabilized Colloids from Scattering Using Machine Learning Identifying Topological Defects in Lamellar Phases through Contour Analysis of Complex Wave Fields Real-space local self-motion of protonated and deuterated water Viscoelastic relaxation and topological fluctuations in glass-forming liquids Viscoelastic relaxation and topological fluctuations in glass-forming liquids... Dynamics of nonequilibrium magnons in gapped Heisenberg antiferromagnets Proton Diffusion in Liquid 1,2,3-Triazole Studied by Incoherent Quasi-Elastic Neutron Scattering Unbiased particle conformation extraction from scattering spectra using orthonormal basis expansions... Unveiling mesoscopic structures in distorted lamellar phases through deep learning-based small angle neutron scattering analysis Dynamic Structure of Liquid: Observation of Van Hove Correlation Function Desmearing small-angle scattering data by central moment expansions Desmearing small-angle scattering data by central moment expansions of Instrument Resolution Model-Free Approach for Profiling of Polydisperse Soft Matter Using Small Angle Scattering Ion Atmosphere of Wormlike Micelles Profiled by Contrast Variation Small-Angle Neutron Scattering... Real-Space Local Dynamics of Molten Inorganic Salts Using Van Hove Correlation Function Small angle scattering of diblock copolymers profiled by machine learning Review: Real-space analyses of local dynamics in liquid using X-ray scattering Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links Curriculum Vitae ORCID Organizations Physical Sciences Directorate Materials Science and Technology Division Foundational Materials Science Section Neutron and X-Ray Scattering Group
Research Highlight Deep Learning Infers Structures of General Lyotropic Phases from Small Angle Neutron Scattering
