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Machine-Learning Methods Enable Exhaustive Searches for Active Bimetallic Facets and Reveal Active Site Motifs for CO 2 Reduction
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August 2017 |
Complex structural dynamics of nanocatalysts revealed in Operando conditions by correlated imaging and spectroscopy probes
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June 2015 |
Structural Characterization of Carbon-Supported Platinum−Ruthenium Nanoparticles from the Molecular Cluster Precursor PtRu 5 C(CO) 16
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Noncrystalline-to-Crystalline Transformations in Pt Nanoparticles
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Evolution of Structure and Chemistry of Bimetallic Nanoparticle Catalysts under Reaction Conditions
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Reaction-Driven Restructuring of Rh-Pd and Pt-Pd Core-Shell Nanoparticles
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Revealing the Atomic Restructuring of Pt–Co Nanoparticles
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May 2014 |
Critical review: Effects of complex interactions on structure and dynamics of supported metal catalysts
- Frenkel, Anatoly I.; Cason, Michael W.; Elsen, Annika
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Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films, Vol. 32, Issue 2
https://doi.org/10.1116/1.4820493
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March 2014 |
Applications of extended X-ray absorption fine-structure spectroscopy to studies of bimetallic nanoparticle catalysts
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Probing the Limits of Conventional Extended X-ray Absorption Fine Structure Analysis Using Thiolated Gold Nanoparticles
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February 2015 |
Solving the Structure and Dynamics of Metal Nanoparticles by Combining X-Ray Absorption Fine Structure Spectroscopy and Atomistic Structure Simulations
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June 2019 |
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“Inverting” X-ray Absorption Spectra of Catalysts by Machine Learning in Search for Activity Descriptors
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September 2019 |
Probing Atomic Distributions in Mono- and Bimetallic Nanoparticles by Supervised Machine Learning
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December 2018 |
Neural Network Approach for Characterizing Structural Transformations by X-Ray Absorption Fine Structure Spectroscopy
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May 2018 |
Supervised Machine-Learning-Based Determination of Three-Dimensional Structure of Metallic Nanoparticles
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Application of the ratio method of EXAFS analysis to disordered systems
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Solving the structure of nanoparticles by multiple-scattering EXAFS analysis
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Estimation of mean size and shape of small metal particles by EXAFS
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In situ coarsening study of inverse micelle-prepared Pt nanoparticles supported on γ-Al2O3: pretreatment and environmental effects
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January 2012 |
Tuning the Structure of Pt Nanoparticles through Support Interactions: An in Situ Polarized X-ray Absorption Study Coupled with Atomistic Simulations
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March 2019 |
Subnanometer Substructures in Nanoassemblies Formed from Clusters under a Reactive Atmosphere Revealed Using Machine Learning
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August 2018 |
Cluster Assemblies Produced by Aggregation of Preformed Ag Clusters in Ionic Liquids
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March 2018 |
Mapping XANES spectra on structural descriptors of copper oxide clusters using supervised machine learning
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October 2019 |
Aqueous Au-Pd colloids catalyze selective CH 4 oxidation to CH 3 OH with O 2 under mild conditions
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September 2017 |
Bimetallic dendrimer-encapsulated nanoparticles as catalysts: a review of the research advances
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January 2008 |
Achieving High Selectivity for Alkyne Hydrogenation at High Conversions with Compositionally Optimized PdAu Nanoparticle Catalysts in Raspberry Colloid-Templated SiO 2
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November 2019 |
Palladium–gold single atom alloy catalysts for liquid phase selective hydrogenation of 1-hexyne
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January 2017 |
Dilute Pd/Au Alloy Nanoparticles Embedded in Colloid-Templated Porous SiO 2 : Stable Au-Based Oxidation Catalysts
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July 2019 |
Effects of Pd on Catalysis by Au: CO Adsorption, CO Oxidation, and Cyclohexene Hydrogenation by Supported Au and Pd–Au Catalysts
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October 2013 |
Core Shell Inversion during Nucleation and Growth of Bimetallic Pt/Ru Nanoparticles
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Structural Rearrangement of Bimetallic Alloy PdAu Nanoparticles within Dendrimer Templates to Yield Core/Shell Configurations †
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Solving the 3D structure of metal nanoparticles
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Short range order in bimetallic nanoalloys: An extended X-ray absorption fine structure study
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Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations
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A Deep Learning Approach to Identify Local Structures in Atomic-Resolution Transmission Electron Microscopy Images
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July 2018 |
Ab Initio Quality NMR Parameters in Solid-State Materials Using a High-Dimensional Neural-Network Representation
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January 2016 |
Identifying the Atomic-Level Effects of Metal Composition on the Structure and Catalytic Activity of Peptide-Templated Materials
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October 2015 |
Modular Design of Advanced Catalytic Materials Using Hybrid Organic-Inorganic Raspberry Particles
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December 2017 |
New Role of Pd Hydride as a Sensor of Surface Pd Distributions in Pd−Au Catalysts
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December 2019 |
Enhancing catalytic performance of dilute metal alloy nanomaterials
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April 2020 |
Structure of the methanol synthesis catalyst determined by in situHERFD XAS and EXAFS
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January 2012 |
The Nuclearity of the Active Site for Methane to Methanol Conversion in Cu-Mordenite: A Quantitative Assessment
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October 2018 |
Linking the evolution of catalytic properties and structural changes in copper–zinc nanocatalysts using operando EXAFS and neural-networks
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January 2020 |