[HTML][HTML] Process intensification 4.0: A new approach for attaining new, sustainable and circular processes enabled by machine learning

EA López-Guajardo, F Delgado-Licona… - … and Processing-Process …, 2022 - Elsevier
This paper reviews system-level transformations converging into the next generation of
Process Intensification strategies defined as PI4. 0. Process Intensification 4.0 uses data …

[HTML][HTML] Machine learning methods for aerosol synthesis of single-walled carbon nanotubes

DV Krasnikov, EM Khabushev, A Gaev, AR Bogdanova… - Carbon, 2023 - Elsevier
This work is devoted to the strategy towards the optimal development of multiparametric
process of single-walled carbon nanotube (SWCNT) synthesis. Here, we examine the …

Machine learning predictions of drug release from polymeric long acting injectables

P Bannigan, F Häse, M Aldeghi, Z Bao, A Aspuru-Guzik… - 2021 - chemrxiv.org
Machine learning is enabling leap-step advances in a number of fields including drug
discovery and materials science. The current study explores the application of machine …