2024 AIChE Annual Meeting

Session: Machine Learning and Analytics for Sustainability

Papers in this session represent the manipulation of data and/or the development of analytics (i.e., the interpretation and communication) of data for the purpose of evaluating or guiding efforts toward sustainability. Various machine learning methods, novel in their application or results, are of interest.

Chair

Rui Shi, The Pennsylvania State University

Co-Chairs

Raymond Smith, US Environmental Protection Agency
Kirti Yenkie, Rowan University