activity
20202026
most citedAn augmented Lagrangian deep learning method for variational problems with essential boundary conditions

35 citations · 79 across the 11 of their papers we have counts for

collaborators

11 papers

cond-mat.mes-hall2026

Depth-Resolved Lattice Distortions in a Silicon-Germanium Qubit Host

Jonathan C. Marcks, E. S. Joseph, J. Reily +6

Semiconductor qubits, promising for quantum computation, inherit properties from their host lattice. Quantum dot spins, occupying the local lowest energy states in the conduction b…

cond-mat.mtrl-sci2026

From Stacking Disorder to Cubic Order: Ice Crystallization from Deeply Supercooled Water

Yulin Lin, Weimin Guo, Suvo Banik +9

Crystallization far from equilibrium can generate morphologies that defy classical crystal habits, yet the microscopic mechanisms linking atomic-scale disorder to emergent macrosco…

cond-mat.mtrl-sci2023

AI-enabled Lorentz microscopy for quantitative imaging of nanoscale magnetic spin textures

Arthur R. C. McCray, Tao Zhou, Saugat Kandel +3

The manipulation and control of nanoscale magnetic spin textures is of rising interest as they are potential foundational units in next-generation computing paradigms. Achieving th…

physics.app-ph2023★ 1 cited

Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy

Saugat Kandel, Tao Zhou, Anakha V Babu +7

With the continuing advances in scientific instrumentation, scanning microscopes are now able to image physical systems with up to sub-atomic-level spatial resolutions and sub-pico…

cs.LG2022★ 4 cited

Deep learning at the edge enables real-time streaming ptychographic imaging

Anakha V Babu, Tao Zhou, Saugat Kandel +15

Coherent microscopy techniques provide an unparalleled multi-scale view of materials across scientific and technological fields, from structural materials to quantum devices, from…

cond-mat.mtrl-sci2022★ 8 cited

X-ray Nano-imaging of Defects in Thin Film Catalysts via Cluster Analysis

Aileen Luo, Oleg Yu. Gorobtsov, Jocienne N. Nelson +9

Functional properties of transition-metal oxides strongly depend on crystallographic defects. In transition-metal-oxide electrocatalysts such as SrIrO3 (SIO), crystallographic latt…

physics.ins-det2022★ 16 cited

Directional Detection of Dark Matter Using Solid-State Quantum Sensing

Reza Ebadi, Mason C. Marshall, David F. Phillips +12

Next-generation dark matter (DM) detectors searching for weakly interacting massive particles (WIMPs) will be sensitive to coherent scattering from solar neutrinos, demanding an ef…

math.NA2021★ 35 cited

An augmented Lagrangian deep learning method for variational problems with essential boundary conditions

Jianguo Huang, Haoqin Wang, Tao Zhou

This paper is concerned with a novel deep learning method for variational problems with essential boundary conditions. To this end, we first reformulate the original problem into a…

physics.app-ph2021★ 14 cited

Scanning X-ray Diffraction Microscopy for Diamond Quantum Sensing

Mason C. Marshall, David F. Phillips, Matthew J. Turner +6

Understanding nano- and micro-scale crystal strain in CVD diamond is crucial to the advancement of diamond quantum technologies. In particular, the presence of such strain and its…

cond-mat.mtrl-sci2020

High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming

Tao Zhou, Mathew Cherukara, Charudatta Phatak

Lorentz transmission electron microscopy is a unique characterization technique that enables the simultaneous imaging of both the microstructure and functional properties of materi…

eess.IV2020★ 1 cited

Real-time sparse-sampled Ptychographic imaging through deep neural networks

Mathew J. Cherukara, Tao Zhou, Youssef Nashed +4

Ptychography has rapidly grown in the fields of X-ray and electron imaging for its unprecedented ability to achieve nano or atomic scale resolution while simultaneously retrieving…