Estimating reaction parameters in mechanism‐enabled population balance models of nanoparticle size distributions: A Bayesian inverse problem approach-Reference-Cited by-同舟云学术

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Estimating reaction parameters in mechanism‐enabled population balance models of nanoparticle size distributions: A Bayesian inverse problem approach

Published:2021-10-21 Issue:1 Volume:43 Page:43-56
ISSN:0192-8651
Container-title:Journal of Computational Chemistry
language:en
Short-container-title:J Comput Chem

Author:

Long Danny K.¹,Bangerth Wolfgang¹²^ORCID,Handwerk Derek R.³,Whitehead Christopher B.³⁴,Shipman Patrick D.¹,Finke Richard G.³

Affiliation:

1. Department of Mathematics Colorado State University Fort Collins Colorado USA

2. Department of Geosciences Colorado State University Fort Collins Colorado USA

3. Department of Chemistry Colorado State University Fort Collins Colorado USA

4. Department of Chemistry University of Basel Basel Switzerland

Funder

National Science Foundation of Sri Lanka

U.S. Department of Energy

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.26770

Reference79 articles.

1. Platinum nanoparticles on Al2O3: Correlation between the particle size and activity in total methane oxidation

2. Catalysis with Colloidal Ruthenium Nanoparticles

3. Palladium Nanoparticles in Polyols: Synthesis, Catalytic Couplings, and Hydrogenations

4. Tuning the Catalytic Activity and Selectivity of Pd Nanoparticles Using Ligand-Modified Supports and Surfaces

5. Two-Step Nucleation and Growth of InP Quantum Dots via Magic-Sized Cluster Intermediates

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