Machine Learning in Chemical Safety and Health
Qingsheng Wang and Changjie Cai, Eds., Wiley, Hoboken, NJ, $165, 320 pages, Nov. 2022, ISBN: 978-1-119-81748-2
Machine learning algorithms have potential to transform chemical safety-related model development. This book reviews the current status of machine learning implementation in chemical safety and health research, including property and toxicity prediction, consequence prediction, and fault detection. It provides guidance for implementing machine learning techniques and algorithms in the fields of process safety, chemical safety, occupational and environmental health, and industrial hygiene.
The Titanium Economy
Asutosh Padhi, Gaurav Batra, and Nick Santhanam, PublicAffairs, New York, NY, $25, 256 pages, Oct. 2022, ISBN: 978-1-541-70187-8
Industrial manufacturing is a burgeoning sector that offers many opportunities for workers, consumers, and investors in the U.S. This sector is responsible for producing...
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