2 papers
cond-mat.mtrl-sci2025
A physics-based data-driven model for CO gas diffusion electrodes to drive automated laboratories
Ivan Grega, Félix Therrien, Abhishek Soni +6
The electrochemical reduction of atmospheric CO into high-energy molecules with renewable energy is a promising avenue for energy storage that can take advantage of existing in…
cond-mat.mtrl-sci2021
Advancing the Pareto front for thin-film materials using a self-driving laboratory
Benjamin P. MacLeod, Fraser G. L. Parlane, Connor C. Rupnow +13
Useful materials must satisfy multiple objectives, where the optimization of one objective is often at the expense of another. The Pareto front reports the optimal trade-offs betwe…