1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CE2026
Modeling Batch Crystallization under Uncertainty Using Physics-informed Machine Learning
Dingqi Nai, Huayu Li, Martha Grover +1
The development of robust and reliable modeling approaches for crystallization processes is often challenging because of non-idealities in real data arising from various sources of…
cs.CE2024★ 1 cited
Fitting micro-kinetic models to transient kinetics of temporal analysis of product reactors using kinetics-informed neural networks
Dingqi Nai, Gabriel S. Gusmão, Zachary A. Kilwein +2
The temporal analysis of products (TAP) technique produces extensive transient kinetic data sets, but it is challenging to translate the large quantity of raw data into physically…