activity
20222025
most citedInverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2025

High emissivity, thermally robust emitters for high power density thermophotovoltaics

Minok Park, Shomik Verma, Alina LaPotin +6

Thermal radiative energy transport is essential for high-temperature energy harvesting technologies, including thermophotovoltaics (TPVs) and grid-scale thermal energy storage. How…

physics.app-ph2024

Solid-state batteries enabled by ultra-high-frequency self-heating

Buyi Zhang, Divya Chalise, Yuqiang Zeng +3

Solid-state batteries (SSBs) are promising next-generation batteries due to their high energy density and enhanced thermal stability and safety. However, their sluggish kinetics an…

physics.chem-ph2024

Depth-resolved measurement of solvation entropy, interfacial transport and charge-transfer kinetics of practical lithium-ion batteries

Divya Chalise, Sean D. Lubner, Sumanjeet Kaur +2

Understanding the performance of electrochemical energy storage systems requires probing the electrochemical properties at each layer and interface during cell operation. While tra…

cond-mat.mes-hall2024

AuNR-SMA: Automated Gold Nanorod Spectral Morphology Analysis Pipeline

Samuel P. Gleason, Jakob C. Dahl, Mahmoud Elzouka +8

The development of a colloidal synthesis procedure to produce nanomaterials of a specific size with high shape and size purity is often a time consuming, iterative process. This is…

cs.LG2024★ 2 cited

Inverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing

Luka Grbcic, Minok Park, Mahmoud Elzouka +6

We demonstrate a multi-fidelity (MF) machine learning ensemble framework for the inverse design of photonic surfaces, trained on a dataset of 11,759 samples that we fabricate using…

physics.chem-ph2022

Using thermal interface resistance for non-invasive operando mapping of buried interfacial lithium morphology in-solid state batteries

Divya Chalise, Robert Jonson, Joseph Schaadt +7

The lithium metal-solid-state electrolyte interface plays a critical role in the performance of solid-state batteries. However, operando characterization of the buried interface mo…