1 citations · 1 across the 7 of their papers we have counts for
7 papers
An Assessment of Commonly Used Equivalent Circuit Models for Corrosion Analysis: A Bayesian Approach to Electrochemical Impedance Spectroscopy
Runze Zhang, Debashish Sur, Kangming Li +5
Electrochemical Impedance Spectroscopy (EIS) is a crucial technique for assessing corrosion of a metallic materials. The analysis of EIS hinges on the selection of an appropriate e…
Artificial Intelligence-Enabled Optimization of Battery-Grade Lithium Carbonate Production
S. Shayan Mousavi Masouleh, Corey A. Sanz, Ryan P. Jansonius +4
By 2035, the need for battery-grade lithium is expected to quadruple. About half of this lithium is currently sourced from brines and must be converted from a chloride into lithium…
Roadmap on Data-Centric Materials Science
Stefan Bauer, Peter Benner, Tristan Bereau +58
Science is and always has been based on data, but the terms "data-centric" and the "4th paradigm of" materials research indicate a radical change in how information is retrieved, h…
Multi-principal element alloy discovery using directed energy deposition and machine learning
Phalgun Nelaturu, Jason R. Hattrick-Simpers, Michael Moorehead +4
Multi-principal element alloys open large composition spaces for alloy development. The large compositional space necessitates rapid synthesis and characterization to identify prom…
AutoEIS: automated Bayesian model selection and analysis for electrochemical impedance spectroscopy
Runze Zhang, Robert Black, Debashish Sur +5
Electrochemical Impedance Spectroscopy (EIS) is a powerful tool for electrochemical analysis; however, its data can be challenging to interpret. Here, we introduce a new open-sourc…
Rapid Reconstruction of 3-D Membrane Pore Structure Using a Single 2-D Micrograph
Hooman Chamani, Arash Rabbani, Kaitlyn P. Russell +4
Conventional 2-D scanning electron microscopy (SEM) is commonly used to rapidly and qualitatively evaluate membrane pore structure. Quantitative 2-D analyses of pore sizes can be e…