Separating Physically Distinct Mechanisms in Complex Infrared Plasmonic Nanostructures via Machine Learning Enhanced Electron Energy Loss Spectroscopy-Reference-Cited by-同舟云学术

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

Published:2021-04-19 Issue:13 Volume:9 Page:2001808
ISSN:2195-1071
Container-title:Advanced Optical Materials
language:en
Short-container-title:Advanced Optical Materials

Author:

Kalinin Sergei V.¹^ORCID,Roccapriore Kevin M.¹^ORCID,Cho Shin Hum²³^ORCID,Milliron Delia J.²^ORCID,Vasudevan Rama¹^ORCID,Ziatdinov Maxim¹^ORCID,Hachtel Jordan A.¹^ORCID

Affiliation:

1. Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge TN 37831 USA

2. McKetta Department of Chemical Engineering The University of Texas at Austin Austin TX 78712 USA

3. Samsung Electronics Samsung Semiconductor R&D Hwaseong Gyeonggi‐do 18448 Republic of Korea

Funder

U.S. Department of Energy

Office of Science

Basic Energy Sciences

Welch Foundation

Publisher

Wiley

Subject

Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adom.202001808

Reference45 articles.

1. Optical detection of single non-absorbing molecules using the surface plasmon resonance of a gold nanorod

2. Plasmonics for improved photovoltaic devices

3. Biosensing with plasmonic nanosensors

4. Surface-plasmon circuitry

5. Electron Energy-Loss Spectroscopy (EELS) of Surface Plasmons in Single Silver Nanoparticles and Dimers: Influence of Beam Damage and Mapping of Dark Modes

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1. Metallic Degenerately Doped Free-Electron-Confined Plasmonic Nanocrystal and Infrared Extinction Response;Metals;2024-07-24

2. Electromagnetically Porous Infrared Plasmonic F,Sn-Doped In₂O₃ Semiconductor Nanocrystals for Infrared Optoelectronic Sensors;ACS Applied Nano Materials;2024-07-02

3. Discovering invariant spatial features in electron energy loss spectroscopy images on the mesoscopic and atomic levels;Journal of Applied Physics;2024-03-21

4. Why is EXAFS for complex concentrated alloys so hard? Challenges and opportunities for measuring ordering with X-ray absorption spectroscopy;Matter;2023-11

5. Insights into the Machine Learning Predictions of the Optical Response of Plasmon@Semiconductor Core-Shell Nanocylinders;Photochem;2023-03-02

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