Παρακολούθηση
Adam Yonge
Adam Yonge
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα nrel.gov
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Prediction of transition-state energies of hydrodeoxygenation reactions on transition-metal surfaces based on machine learning
K Abdelfatah, W Yang, R Vijay Solomon, B Rajbanshi, A Chowdhury, ...
The Journal of Physical Chemistry C 123 (49), 29804-29810, 2019
242019
Data driven reaction mechanism estimation via transient kinetics and machine learning
MR Kunz, A Yonge, Z Fang, R Batchu, AJ Medford, D Constales, ...
Chemical Engineering Journal 420, 129610, 2021
172021
TAPsolver: A Python package for the simulation and analysis of TAP reactor experiments
A Yonge, MR Kunz, R Batchu, Z Fang, T Issac, R Fushimi, AJ Medford
Chemical Engineering Journal 420, 129377, 2021
132021
Theoretical investigation of solvent effects on the hydrodeoxygenation of propionic acid over a Ni (111) catalyst model
M Zare, RV Solomon, W Yang, A Yonge, A Heyden
The Journal of Physical Chemistry C 124 (30), 16488-16500, 2020
112020
Computational Investigation of the Catalytic Hydrodeoxygenation of Propanoic Acid over a Cu (111) Surface
B Rajbanshi, W Yang, A Yonge, SK Kundu, C Fricke, A Heyden
The Journal of Physical Chemistry C 125 (35), 19276-19293, 2021
32021
Quantifying the impact of temporal analysis of products reactor initial state uncertainties on kinetic parameters
A Yonge, GS Gusmão, R Batchu, MR Kunz, Z Fang, R Fushimi, ...
AIChE Journal 68 (9), e17776, 2022
22022
Internal calibration of transient kinetic data via machine learning
MR Kunz, A Yonge, X He, R Batchu, Z Fang, Y Wang, GS Yablonsky, ...
Catalysis Today 417, 113650, 2023
12023
Model-Based Design of Experiments for Temporal Analysis of Products (TAP): A Simulated Case Study in Oxidative Propane Dehydrogenation
A Yonge, GS Gusmão, R Fushimi, AJ Medford
Industrial & Engineering Chemistry Research, 2024
2024
Simulating Catalysis with Realistic Pellet Geometries Using Mesoflow: A Case Study of Catalytic Propane Dehydrogenation
M Crowley, H Sitaraman, NE Thornburg, A Medford, A Yonge, R Fushimi, ...
National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2023
2023
Extracting Knowledge from Transient Kinetic Datasets
A Medford, A Yonge
2022 AIChE Annual Meeting, 2022
2022
A Priori Calibration of Transient Kinetics Data via Machine Learning
MR Kunz, A Yonge, R Batchu, Z Fang, Y Wang, G Yablonsky, AJ Medford, ...
arXiv preprint arXiv:2109.15042, 2021
2021
APPENDIX A SUPPORTING INFORMATION FOR THEORETICAL INVESTIGATION OF SOLVENT EFFECTS ON THE HYDRODEOXYGENATION OF PROPIONIC ACID OVER A NI (111) CATALYST MODEL
M Zare, RV Solomon, W Yang, A Yonge, A Heyden
Solvent Effect Modeling in Heterogenous Catalysis 100 (124), 121, 2021
2021
Meso-Kinetic Transient Optimization Via Machine Learning
M Kunz, R Batchu, Y Wang, A Yonge, A Medford, Z Fang, D Constales, ...
2020 Virtual AIChE Annual Meeting, 2020
2020
Transient Kinetic Characterization Surface Oxygen Species to Understand Steady-State Performance of Oxidative Coupling of Methane
Y Wang, B Wang, S Sourav, M Kunz, A Yonge, Z Fang, R Batchu, ...
2020 Virtual AIChE Annual Meeting, 2020
2020
Generalized simulation and processing of TAP reactor data
AC Yonge
Georgia Institute of Technology, 2020
2020
Robust Catalyst Characterization and Estimation of Mechanistic Pathways through Data Science
M Kunz, Y Wang, R Batchu, Z Fang, A Yonge, A Medford, GS Yablonsky, ...
2019 AIChE Annual Meeting, 2019
2019
Enabling Robust Catalyst Characterization By Applying Data Science to Transient Kinetics
MR Kunz, Y Wang, A Yonge, GS Yablonsky, AJ Medford, R Fushimi
2019 North American Catalysis Society Meeting, 2019
2019
Simulation and optimization of of temporal analysis of products (TAP) curves from micro-kinetic models
A Medford, A Yonge
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 257, 2019
2019
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