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Operando tribochemical formation of onion-like-carbon leads to macroscale superlubricity

Nature communications, 2018-03, Vol.9 (1), p.1164-9, Article 1164

2018

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Machine learning coarse grained models for water

Nature communications, 2019-01, Vol.10 (1), p.379-379, Article 379

2019

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Real-time coherent diffraction inversion using deep generative networks

Scientific reports, 2018-11, Vol.8 (1), p.16520-8, Article 16520

2018

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AI-enabled high-resolution scanning coherent diffraction imaging

Applied physics letters, 2020-07, Vol.117 (4)

2020

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Ultrafast Chemistry under Nonequilibrium Conditions and the Shock to Deflagration Transition at the Nanoscale

Journal of physical chemistry. C, 2015-09, Vol.119 (38), p.22008-22015

2015

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A lightweight, user-configurable detector ASIC digital architecture with on-chip data compression for MHz X-ray coherent diffraction imaging

Journal of instrumentation, 2022-10, Vol.17 (10), p.P10042

2022

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Anisotropic nano-scale resolution in 3D Bragg coherent diffraction imaging

Applied physics letters, 2018-11, Vol.113 (20)

2018

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Machine learning enabled autonomous microstructural characterization in 3D samples

npj computational materials, 2020-01, Vol.6 (1), p.1-9, Article 1

2020

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Deep learning the properties of inorganic perovskites

Modelling and simulation in materials science and engineering, 2022-04, Vol.30 (3), p.34005

2022

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Screening of Therapeutic Agents for COVID-19 Using Machine Learning and Ensemble Docking Studies

The journal of physical chemistry letters, 2020-09, Vol.11 (17), p.7058-7065

2020

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Machine Learning Classical Interatomic Potentials for Molecular Dynamics from First-Principles Training Data

Journal of physical chemistry. C, 2019-03, Vol.123 (12), p.6941-6957

2019

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Ab Initio-Based Bond Order Potential to Investigate Low Thermal Conductivity of Stanene Nanostructures

The journal of physical chemistry letters, 2016-10, Vol.7 (19), p.3752-3759

2016

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Active site localization of methane oxidation on Pt nanocrystals

Nature communications, 2018-08, Vol.9 (1), p.3422-7, Article 3422

2018

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Learning in continuous action space for developing high dimensional potential energy models

Nature communications, 2022-01, Vol.13 (1), p.368-368, Article 368

2022

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

Nature communications, 2023-09, Vol.14 (1), p.5501-5501, Article 5501

2023

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Differential programming enabled functional imaging with Lorentz transmission electron microscopy

npj computational materials, 2021-09, Vol.7 (1), p.1-8, Article 141

2021

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Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals

ACS applied materials & interfaces, 2024-04

2024

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Molecular dynamics simulations of the reaction mechanism in Ni/Al reactive intermetallics

Acta materialia, 2015-09, Vol.96, p.1-9

2015

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Defect Dynamics in 2‑D MoS2 Probed by Using Machine Learning, Atomistic Simulations, and High-Resolution Microscopy

ACS nano, 2018-08, Vol.12 (8), p.8006-8016

2018

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Three-dimensional X-ray diffraction imaging of dislocations in polycrystalline metals under tensile loading

Nature communications, 2018-09, Vol.9 (1), p.3776-6, Article 3776

2018

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Role of grain size on the martensitic transformation and ultra-fast superelasticity in shape memory alloys

Acta materialia, 2015-08, Vol.95 (C), p.37-43

2015

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Multislice forward modeling of coherent surface scattering imaging on surface and interfacial structures

Optics express, 2023-03, Vol.31 (7), p.11261-11273

2023

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Ferroelectric Domain Wall Motion in Freestanding Single‐Crystal Complex Oxide Thin Film

Advanced materials (Weinheim), 2020-01, Vol.32 (4), p.e1907036-n/a

2020

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Shock Loading of Granular Ni/Al Composites. Part 2: Shock-Induced Chemistry

Journal of physical chemistry. C, 2016-03, Vol.120 (12), p.6804-6813

2016

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Defect identification in simulated Bragg coherent diffraction imaging by automated AI

MRS bulletin, 2023-02, Vol.48 (2), p.124-133

2023

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Operando tribochemical formation of onion-like-carbon leads to macroscale superlubricity

Machine learning coarse grained models for water

Real-time coherent diffraction inversion using deep generative networks

AI-enabled high-resolution scanning coherent diffraction imaging

Ultrafast Chemistry under Nonequilibrium Conditions and the Shock to Deflagration Transition at the Nanoscale

A lightweight, user-configurable detector ASIC digital architecture with on-chip data compression for MHz X-ray coherent diffraction imaging

Anisotropic nano-scale resolution in 3D Bragg coherent diffraction imaging

Machine learning enabled autonomous microstructural characterization in 3D samples

Deep learning the properties of inorganic perovskites

Screening of Therapeutic Agents for COVID-19 Using Machine Learning and Ensemble Docking Studies

Machine Learning Classical Interatomic Potentials for Molecular Dynamics from First-Principles Training Data

Ab Initio-Based Bond Order Potential to Investigate Low Thermal Conductivity of Stanene Nanostructures

Active site localization of methane oxidation on Pt nanocrystals

Learning in continuous action space for developing high dimensional potential energy models

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

Differential programming enabled functional imaging with Lorentz transmission electron microscopy

Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals

Molecular dynamics simulations of the reaction mechanism in Ni/Al reactive intermetallics

Defect Dynamics in 2‑D MoS2 Probed by Using Machine Learning, Atomistic Simulations, and High-Resolution Microscopy

Three-dimensional X-ray diffraction imaging of dislocations in polycrystalline metals under tensile loading

Role of grain size on the martensitic transformation and ultra-fast superelasticity in shape memory alloys

Multislice forward modeling of coherent surface scattering imaging on surface and interfacial structures

Ferroelectric Domain Wall Motion in Freestanding Single‐Crystal Complex Oxide Thin Film

Shock Loading of Granular Ni/Al Composites. Part 2: Shock-Induced Chemistry

Defect identification in simulated Bragg coherent diffraction imaging by automated AI

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