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Spectrally tunable infrared plasmonic F,Sn:In2O3 nanocrystal cubes

The Journal of chemical physics, 2020-01, Vol.152 (1), p.014709-014709

2020

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Predictability of Localized Plasmonic Responses in Nanoparticle Assemblies

Small (Weinheim an der Bergstrasse, Germany), 2021-05, Vol.17 (21), p.e2100181-n/a

2021

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Identification and correction of temporal and spatial distortions in scanning transmission electron microscopy

Ultramicroscopy, 2021-10, Vol.229, p.113337-113337, Article 113337

2021

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Physics Discovery in Nanoplasmonic Systems via Autonomous Experiments in Scanning Transmission Electron Microscopy

Advanced science, 2022-12, Vol.9 (36), p.e2203422-n/a

2022

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Automated Experiment in 4D-STEM: Exploring Emergent Physics and Structural Behaviors

ACS nano, 2022-05, Vol.16 (5), p.7605-7614

2022

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Probing Electron Beam Induced Transformations on a Single-Defect Level via Automated Scanning Transmission Electron Microscopy

ACS nano, 2022-10, Vol.16 (10), p.17116-17127

2022

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Discovering invariant spatial features in electron energy loss spectroscopy images on the mesoscopic and atomic levels

Journal of applied physics, 2024-03, Vol.135 (11)

2024

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Digital twins and deep learning segmentation of defects in monolayer MX2 phases

Applied physics letters, 2024-01, Vol.124 (3)

2024

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Influence of halogen precursors on the growth of InSb nanostructures

Semiconductor science and technology, 2024-04, Vol.39 (4), p.45013

2024

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Measuring Single Atomic Defects in 2D Materials with Off-axis EELS Using Real-time AI-driven Detection

Microscopy and microanalysis, 2023-07, Vol.29 (Supplement_1), p.392-393

2023

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Revealing the Chemical Bonding in Adatom Arrays via Machine Learning of Hyperspectral Scanning Tunneling Spectroscopy Data

ACS nano, 2021-07, Vol.15 (7), p.11806-11816

2021

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AI-enabled Automation of Atomic Manipulation and Characterization in the STEM

Microscopy and microanalysis, 2023-07, Vol.29 (Supplement_1), p.1366-1367

2023

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Sculpting the Plasmonic Responses of Nanoparticles by Directed Electron Beam Irradiation

Small (Weinheim an der Bergstrasse, Germany), 2022-01, Vol.18 (1), p.e2105099-n/a

2022

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Dynamic STEM-EELS for single-atom and defect measurement during electron beam transformations

Science advances, 2024-07, Vol.10 (29), p.eadn5899

2024

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Finding Features from Microscopes to Simulations Via Ensemble Learning and Atomic Manipulation

Microscopy and microanalysis, 2022-08, Vol.28 (S1), p.3078-3080

2022

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Waveguide coupling via magnetic gratings with effective strips

Applied sciences, 2018-04, Vol.8 (4), p.617

2018

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Electron-Beam Induced Emergence of Mesoscopic Ordering in Layered MnPS3

ACS nano, 2022-10, Vol.16 (10), p.16713-16723

2022

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Exploring Local Physics and Structural Behaviors with Automated Experiment In 4D-STEM

Microscopy and microanalysis, 2022-08, Vol.28 (S1), p.2944-2946

2022

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Fabrication of Atomic-scale Defect Structures within 2D Materials through Automated Electron Beam Control

Microscopy and microanalysis, 2023-07, Vol.29 (Supplement_1), p.1380-1381

2023

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Discovering the Electron Beam Induced Transition Rates for Silicon Dopants in Graphene with Deep Neural Networks in the STEM

Microscopy and microanalysis, 2023-07, Vol.29 (Supplement_1), p.1932-1933

2023

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Pulsed-laser epitaxy of metallic delafossite PdCrO2 films

APL materials, 2020-05, Vol.8 (5), p.051104-051104-7

2020

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Separating Physically Distinct Mechanisms in Complex Infrared Plasmonic Nanostructures via Machine Learning Enhanced Electron Energy Loss Spectroscopy

Advanced optical materials, 2021-07, Vol.9 (13), p.n/a

2021

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Seamless Communication Between High-Performance Computing System and Electron Microscopes for On-Demand Automated Data Transfer and Remote Control

Microscopy and microanalysis, 2022-08, Vol.28 (S1), p.2908-2910

2022

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Building Atomic and Plasmonic Devices via Electron Beams: from Desired Structures to Desired Properties

Microscopy and microanalysis, 2022-08, Vol.28 (S1), p.1726-1727

2022

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Spectrally tunable infrared plasmonic F,Sn:In 2 O 3 nanocrystal cubes

The Journal of chemical physics, 2020-01, Vol.152 (1), p.014709

2020

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Spectrally tunable infrared plasmonic F,Sn:In2O3 nanocrystal cubes

Predictability of Localized Plasmonic Responses in Nanoparticle Assemblies

Identification and correction of temporal and spatial distortions in scanning transmission electron microscopy

Physics Discovery in Nanoplasmonic Systems via Autonomous Experiments in Scanning Transmission Electron Microscopy

Automated Experiment in 4D-STEM: Exploring Emergent Physics and Structural Behaviors

Probing Electron Beam Induced Transformations on a Single-Defect Level via Automated Scanning Transmission Electron Microscopy

Discovering invariant spatial features in electron energy loss spectroscopy images on the mesoscopic and atomic levels

Digital twins and deep learning segmentation of defects in monolayer MX2 phases

Influence of halogen precursors on the growth of InSb nanostructures

Measuring Single Atomic Defects in 2D Materials with Off-axis EELS Using Real-time AI-driven Detection

Revealing the Chemical Bonding in Adatom Arrays via Machine Learning of Hyperspectral Scanning Tunneling Spectroscopy Data

AI-enabled Automation of Atomic Manipulation and Characterization in the STEM

Sculpting the Plasmonic Responses of Nanoparticles by Directed Electron Beam Irradiation

Dynamic STEM-EELS for single-atom and defect measurement during electron beam transformations

Finding Features from Microscopes to Simulations Via Ensemble Learning and Atomic Manipulation

Waveguide coupling via magnetic gratings with effective strips

Electron-Beam Induced Emergence of Mesoscopic Ordering in Layered MnPS3

Exploring Local Physics and Structural Behaviors with Automated Experiment In 4D-STEM

Fabrication of Atomic-scale Defect Structures within 2D Materials through Automated Electron Beam Control

Discovering the Electron Beam Induced Transition Rates for Silicon Dopants in Graphene with Deep Neural Networks in the STEM

Pulsed-laser epitaxy of metallic delafossite PdCrO2 films

Separating Physically Distinct Mechanisms in Complex Infrared Plasmonic Nanostructures via Machine Learning Enhanced Electron Energy Loss Spectroscopy

Seamless Communication Between High-Performance Computing System and Electron Microscopes for On-Demand Automated Data Transfer and Remote Control

Building Atomic and Plasmonic Devices via Electron Beams: from Desired Structures to Desired Properties

Spectrally tunable infrared plasmonic F,Sn:In 2 O 3 nanocrystal cubes

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