840 citations · 4.2k across the 66 of their papers we have counts for
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AutoMat: Accelerated Computational Electrochemical systems Discovery
Emil Annevelink, Rachel Kurchin, Eric Muckley +17
Large-scale electrification is vital to addressing the climate crisis, but several scientific and technological challenges remain to fully electrify both the chemical industry and…
MeltNet: Predicting alloy melting temperature by machine learning
Pin-Wen Guan, Venkatasubramanian Viswanathan
Thermodynamics is fundamental for understanding and synthesizing multi-component materials, while efficient and accurate prediction of it still remain urgent and challenging. As a…
Interfacial Effects on Solid Electrolyte Interphase in Lithium-ion Batteries
Zeeshan Ahmad, Victor Venturi, Hasnain Hafiz +1
The existence of passivating layers at the interfaces is a major factor enabling modern lithium-ion (Li-ion) batteries. Their properties determine the cycle life, performance, and…
Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning
Dilip Krishnamurthy, Nikifar Lazouski, Michal L. Gala +2
In this work, we experimentally determined the efficacy of several classes of proton donors for lithium-mediated electrochemical nitrogen reduction in a tetrahydrofuran-based elect…
Universal Battery Performance and Degradation Model for Electric Aircraft
Alexander Bills, Shashank Sripad, William L. Fredericks +4
Development of Urban Air Mobility (UAM) concepts has been primarily focused on electric vertical takeoff and landing aircraft (eVTOLs), small aircraft which can land and takeoff ve…
Kinetics of lithium electrodeposition and stripping
Shashank Sripad, Daniel Korff, Steven C. DeCaluwe +1
Electrodeposition and stripping are fundamental electrochemical processes for metals and have gained importance in rechargeable Li-ion batteries due to lithium metal electrodes. Th…