AI and Sustainable Computing

A view of the sustainable computing landscape

Lee BC, Brooks D, van Benthem A, Elgamal M, Gupta U, Hills G, Liu V, Phan LThi Xuan, Pierce B, Stewart C, et al. A view of the sustainable computing landscape. Patterns [Internet]. 2025 ;6. Available from: https://www.cell.com/patterns/fulltext/S2666-3899(25)00144-8

Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review

Wang HSzu-Han, Yao Y. Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review. Resources, Conservation and Recycling [Internet]. 2023 ;190:106847. Available from: https://www.sciencedirect.com/science/article/pii/S0921344922006796

Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework

Liao M, Lan K, Yao Y. Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework. Journal of Industrial Ecology [Internet]. 2021 ;26(1). Available from: https://onlinelibrary.wiley.com/doi/abs/10.1111/jiec.13214

Generating Energy and Greenhouse Gas Inventory Data of Activated Carbon Production Using Machine Learning and Kinetic Based Process Simulation

Liao M, Kelley S, Yao Y. Generating Energy and Greenhouse Gas Inventory Data of Activated Carbon Production Using Machine Learning and Kinetic Based Process Simulation. ACS Sustainable Chemistry and Engineering [Internet]. 2020 ;8(2):1252 - 1261. Available from: https://doi.org/10.1021/acssuschemeng.9b06522