Extracting knowledge from data through catalysis informatics

AJ Medford, MR Kunz, SM Ewing, T Borders… - Acs …, 2018 - ACS Publications
Catalysis informatics is a distinct subfield that lies at the intersection of cheminformatics and
materials informatics but with distinctive challenges arising from the dynamic, surface …

Forty years of temporal analysis of products

K Morgan, N Maguire, R Fushimi, JT Gleaves… - Catalysis Science & …, 2017 - pubs.rsc.org
A detailed understanding of reaction mechanisms and kinetics is required in order to
develop and optimize catalysts and catalytic processes. While steady-state investigations …

Recent progress toward catalyst properties, performance, and prediction with data-driven methods

YY Chen, MR Kunz, X He, R Fushimi - Current Opinion in Chemical …, 2022 - Elsevier
Data-driven approaches are currently renovating the field of heterogenous catalysis and
open the door to advance catalyst design. Their success depends heavily on the synergy …

Acetaldehyde and acetic acid adsorption on TiO2 under dry and humid conditions

F Batault, F Thevenet, V Hequet, C Rillard… - Chemical Engineering …, 2015 - Elsevier
Adsorption plays a key role in the volatile organic compound (VOC) photocatalytic oxidation
performance and kinetic behavior. It can lead to VOC mixture sequential treatment or even …

[HTML][HTML] A temporal analysis of products (TAP) study of C2-C4 alkene reactions with a well-defined pool of methylating species on ZSM-22 zeolite

EA Redekop, A Lazzarini, S Bordiga, U Olsbye - Journal of catalysis, 2020 - Elsevier
Reactions between alkenes and methanol or dimethyl ether (DME) on zeolite catalysts are
involved in industrial processes that are highly relevant for the transition to renewable …

Data driven reaction mechanism estimation via transient kinetics and machine learning

MR Kunz, A Yonge, Z Fang, R Batchu… - Chemical Engineering …, 2021 - Elsevier
Understanding the set of elementary steps and kinetics in each reaction is extremely
valuable to make informed decisions about creating the next generation of catalytic …

Synchronizing gas injections and time-resolved data acquisition for perturbation-enhanced APXPS experiments

EA Redekop, N Johansson, E Kokkonen… - Review of Scientific …, 2021 - pubs.aip.org
An experimental approach is described in which well-defined perturbations of the gas feed
into an Ambient Pressure X-ray Photoelectron Spectroscopy (APXPS) cell are fully …

Recent advances in dynamic chemical characterization using Temporal Analysis of Products

R Fushimi, J Gleaves - Current Opinion in Chemical Engineering, 2018 - Elsevier
The Temporal Analysis of Products (TAP) technique is a pulse response methodology that
reveals the time-dependent evolution of chemical processes between a gas phase molecule …

Maximum-likelihood estimators in physics-informed neural networks for high-dimensional inverse problems

GS Gusmão, AJ Medford - Computers & Chemical Engineering, 2024 - Elsevier
Physics-informed neural networks (PINNs) have proven a suitable mathematical scaffold for
solving inverse ordinary (ODE) and partial differential equations (PDE). Typical inverse …

Decoding complexity of chemical reactions

GS Yablonsky - Theoretical Foundations of Chemical Engineering, 2014 - Springer
Decoding Complexity of Chemical Reactions1 Page 1 ISSN 0040 5795, Theoretical
Foundations of Chemical Engineering, 2014, Vol. 48, No. 5, pp. 608–613. © Pleiades …