110th Anniversary: Surrogate Models Based on Artificial Neural Networks to Simulate and Optimize Pressure Swing Adsorption Cycles for CO2 Capture

Karson T. Leperi, Daison Yancy-Caballero, Randall Q. Snurr*, Fengqi You

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

78 Scopus citations

Fingerprint

Dive into the research topics of '110th Anniversary: Surrogate Models Based on Artificial Neural Networks to Simulate and Optimize Pressure Swing Adsorption Cycles for CO2 Capture'. Together they form a unique fingerprint.

Keyphrases

Engineering

Chemical Engineering