Green Algorithms: Quantifying the carbon emissions of computation. - Loïc Lannelongue; Jason Grealey; Michael Inouye (CoRR, 2020)

Ten simple rules to make your computing more environmentally sustainable. - Loïc Lannelongue; Jason Grealey; Alex Bateman; Michael Inouye (PLoS Comput. Biol., 2021)

How to estimate carbon footprint when training deep learning models? A guide and review. - Lucia Bouza Heguerte; Aurélie Bugeau; Loïc Lannelongue (CoRR, 2023)

GREENER principles for environmentally sustainable computational science. - Loïc Lannelongue; Hans-Erik G. Aronson; Alex Bateman; Ewan Birney; Talia Caplan; Martin Juckes; Johanna R. McEntyre; Andrew D. Morris; Gerry Reilly; Michael Inouye (Nat. Comput. Sci., 2023)

Pitfalls of machine learning models for protein-protein interaction networks. - Loïc Lannelongue; Michael Inouye (Bioinform., 2024)

Modeling the increase of electronic waste due to generative AI. - Loïc Lannelongue (Nat. Comput. Sci., 2024)

CATS: The Climate Aware Task Scheduler. - Sadie L. Bartholomew; Lincoln Colling; Abhishek Dasgupta; Anthony J. Greenberg; Loïc Lannelongue; Thibault Lestang; Carlos Martinez-Ortiz; Colin Sauzé; Andrew M. Walker; Adam Stuart Ward (J. Open Source Softw., 2025)