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 …
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 …
develop and optimize catalysts and catalytic processes. While steady-state investigations …
Recent progress toward catalyst properties, performance, and prediction with data-driven methods
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 …
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 …
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
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 …
involved in industrial processes that are highly relevant for the transition to renewable …
Data driven reaction mechanism estimation via transient kinetics and machine learning
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 …
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 …
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 …
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 …
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 …
Foundations of Chemical Engineering, 2014, Vol. 48, No. 5, pp. 608–613. © Pleiades …