Data-Driven Machine Learning Applications in Thermochemical Conversion Processes delves into the prospect of machine learning applications to optimize and enhance advanced thermochemical conversion processes, which are essential for converting biomass into energy and other valuable products. This book covers ML applications in higher heating value (HHV) predictions, catalyst screening, prediction of biofuels properties, material discovery and screening, as well as advancing emerging thermo...

With the rise of remote and hybrid learning, there is an increasing need for flexibility around laboratory‑based coursework. This book offers readers a guide to conducting a wide variety of chemistry and chemical engineering labs and experimental procedures that can be completed easily and safely outside of a traditional lab setting, including at home. It helps students and interested readers achieve hands‑on learning of chemistry‑ and chemical engineering‑based concepts without the need f...