124 citations · 371 across the 17 of their papers we have counts for
11 papers · 1 filter
An End-to-End Differentiable Forward Model for High-Energy Diffraction Microscopy
Hemant Sharma, Nina Andrejevic, Simon Zhang +1
High-Energy Diffraction Microscopy (HEDM) recovers crystallographic orientation, strain, and grain position from rotating-crystal X-ray diffraction patterns. Existing forward model…
Probing Non-Equilibrium Grain Boundary Dynamics with XPCS and Domain-Adaptive Machine Learning
Mouyang Cheng, Bowen Yu, Chu-Liang Fu +14
Grain-boundary (GB) dynamics control the stability, mechanical, and functional response of nanocrystalline materials, but direct experimental access to their slow non-equilibrium m…
AlphaDiffract: Automated Crystallographic Analysis of Powder X-ray Diffraction Data
Nina Andrejevic, Ming Du, Hemant Sharma +6
Materials identification and structural understanding from powder X-ray diffraction (PXRD) data is a long-standing challenge in materials science, fundamental to discovering and ch…
Data-driven discovery of dynamics from time-resolved coherent scattering
Nina Andrejevic, Tao Zhou, Qingteng Zhang +3
Coherent X-ray scattering (CXS) techniques are capable of interrogating dynamics of nano- to mesoscale materials systems at time scales spanning several orders of magnitude. Howeve…
Panoramic mapping of phonon transport from ultrafast electron diffraction and machine learning
Zhantao Chen, Xiaozhe Shen, Nina Andrejevic +11
One central challenge in understanding phonon thermal transport is a lack of experimental tools to investigate mode-based transport information. Although recent advances in computa…
Elucidating proximity magnetism through polarized neutron reflectometry and machine learning
Nina Andrejevic, Zhantao Chen, Thanh Nguyen +7
Polarized neutron reflectometry is a powerful technique to interrogate the structures of multilayered magnetic materials with depth sensitivity and nanometer resolution. However, r…
Machine Learning on Neutron and X-Ray Scattering
Zhantao Chen, Nina Andrejevic, Nathan Drucker +8
Neutron and X-ray scattering represent two state-of-the-art materials characterization techniques that measure materials' structural and dynamical properties with high precision. T…
Topological Signatures in Nodal Semimetals through Neutron Scattering
Thanh Nguyen, Yoichiro Tsurimaki, Ricardo Pablo-Pedro +5
Topological nodal semimetals are known to host a variety of fascinating electronic properties due to the topological protection of the band-touching nodes. Neutron scattering, desp…
Signature of Many-Body Localization of Phonons in Strongly Disordered Superlattices
Thanh Nguyen, Nina Andrejevic, Hoi Chun Po +17
Many-body localization (MBL) has attracted significant attention due to its immunity to thermalization, role in logarithmic entanglement entropy growth, and opportunities to reach…
Phonon Quantum Phase Transition
Ricardo Pablo-Pedro, Nina Andrejevic, Yoichiro Tsurimaki +5
We show that a quantum phase transition can occur in a phonon system in the presence of dislocations. Due to the competing nature between the topological protection of the dislocat…
Theory of Electron-Phonon-Dislon Interacting System - Toward a Quantized Theory of Dislocations
Mingda Li, Yoichiro Tsurimaki, Qingping Meng +4
We provide a comprehensive theoretical framework to study how crystal dislocations influence the functional properties of materials, based on the idea of quantized dislocation, nam…