activity
20092023
most citedReal-time coherent diffraction inversion using deep generative networks

119 citations · 582 across the 25 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cond-mat.mtrl-sci2021★ 12 cited

Disorder Dynamics in Battery Nanoparticles During Phase Transitions Revealed by Operando Single-Particle Diffraction

Jason Huang, Daniel Weinstock, Hayley Hirsh +9

Structural and ion-ordering phase transitions limit the viability of sodium-ion intercalation materials in grid scale battery storage by reducing their lifetime. However, the combi…

cond-mat.mtrl-sci2021

In situ Bragg coherent X-ray diffraction imaging of corrosion in a Co-Fe alloy microcrystal

David Yang, Nicholas W. Phillips, Kay Song +5

Corrosion is a major concern for many industries, as corrosive environments can induce structural and morphological changes that lead to material dissolution and accelerate materia…

physics.app-ph2021★ 1 cited

AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging

Yudong Yao, Henry Chan, Subramanian Sankaranarayanan +3

The problem of phase retrieval, or the algorithmic recovery of lost phase information from measured intensity alone, underlies various imaging methods from astronomy to nanoscale i…

cond-mat.mtrl-sci2021★ 3 cited

Interaction and transformation of metastable defects in intercalation materials

O. Yu. Gorobtsov, H. Hirsh, M. Zhang +10

Non-equilibrium defects often dictate macroscopic functional properties of materials. In intercalation hosts, widely used in rechargeable batteries, high-dimensional defects largel…

eess.IV2021★ 61 cited

Three-dimensional Coherent X-ray Diffraction Imaging via Deep Convolutional Neural Networks

Longlong Wu, Shinjae Yoo, Ana F. Suzana +5

As a critical component of coherent X-ray diffraction imaging (CDI), phase retrieval has been extensively applied in X-ray structural science to recover the 3D morphological inform…