Spectroscopic Probe Molecule Selection Using Quantum Theory, First-Principles Calculations, and Machine Learning-Reference-Cited by-同舟云学术

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Spectroscopic Probe Molecule Selection Using Quantum Theory, First-Principles Calculations, and Machine Learning

Published:2020-11-16 Issue:12 Volume:14 Page:17295-17307
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Lansford Joshua L.¹,Vlachos Dionisios G.¹²^ORCID

Affiliation:

1. Department of Chemical and Biomolecular Engineering, University of Delaware, 150 Academy Street, Newark, Delaware 19716, United States

2. Catalysis Center for Energy Innovation, University of Delaware, 221 Academy Street, Newark, Delaware 19716, United States

Funder

Basic Energy Sciences

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.0c07408

Reference98 articles.

1. In Situ Studies of Chemistry and Structure of Materials in Reactive Environments

2. Thermodynamic properties of Pt nanoparticles: Size, shape, support, and adsorbate effects

3. Interlayer Self-Diffusion on Stepped Pt(111)

4. Structural Rearrangement of Au–Pd Nanoparticles under Reaction Conditions: An ab Initio Molecular Dynamics Study

5. In Situ Atomic-Scale Observation of Surface-Tension-Induced Structural Transformation of Ag-NiPx Core–Shell Nanocrystals

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