most citedBridging Nano and Micro-scale X-ray Tomography for Battery Research by Leveraging Artificial Intelligence

223 citations · 370 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2021★ 223 cited

Bridging Nano and Micro-scale X-ray Tomography for Battery Research by Leveraging Artificial Intelligence

Jonathan Scharf, Mehdi Chouchane, Donal P. Finegan +11

X-ray Computed Tomography (X-ray CT) is a well-known non-destructive imaging technique where contrast originates from the materials' absorption coefficients. Novel battery characte…

cond-mat.mtrl-sci2021★ 1 cited

Investigating Degradation Modes in Zn-AgO Aqueous Batteries with X-ray Micro Computed Tomography

Jonathan Scharf, Lu Yin, Christopher Redquest +7

To meet growing energy demands, degradation mechanisms of energy storage devices must be better understood. As a non-destructive tool, X-ray Computed Tomography (CT) has been incre…

cond-mat.mtrl-sci2021★ 7 cited

Carbon Free High Loading Silicon Anodes Enabled by Sulfide Solid Electrolytes for Robust All Solid-State Batteries

Darren H. S. Tan, Yu-Ting Chen, Hedi Yang +15

The development of silicon anodes to replace conventional graphite in efforts to increase energy densities of lithium-ion batteries has been largely impeded by poor interfacial sta…

cond-mat.mtrl-sci2021★ 1 cited

Quantitatively Designing Porous Copper Current Collectors for Lithium Metal Anode

Bingyu Lu, Edgar Olivera, Jonathan Scharf +13

Lithium metal has been an attractive candidate as a next generation anode material. Despite its popularity, stability issues of lithium in the liquid electrolyte and the formation…

physics.app-ph2020★ 138 cited

High Performance Printed AgO-Zn Rechargeable Battery for Flexible Electronics

Lu Yin, Jonathan Scharf, Jessica Ma +8

The rise of flexible electronics calls for cost-effective and scalable batteries with good mechanical and electrochemical performance. In this work, we developed printable, polymer…