3 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
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…
Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
Mohammad Javad Eslamibidgoli, Mehrdad Mokhtari, Michael H. Eikerling
The presented work demonstrates the training of recurrent neural networks (RNNs) from distributions of atom coordinates in solid state structures that were obtained using ab initio…