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Researcher
- Ilias Belharouak
- Beth L Armstrong
- Gabriel Veith
- Guang Yang
- Jaswinder Sharma
- Michelle Lehmann
- Srikanth Yoginath
- Tomonori Saito
- Ali Abouimrane
- Chad Steed
- Ethan Self
- Georgios Polyzos
- James J Nutaro
- Junghoon Chae
- Pratishtha Shukla
- Robert Sacci
- Ruhul Amin
- Sergiy Kalnaus
- Sudip Seal
- Travis Humble
- Alexey Serov
- Ali Passian
- Amanda Musgrove
- Amit K Naskar
- Anisur Rahman
- Anna M Mills
- Bryan Lim
- Chanho Kim
- David L Wood III
- Harper Jordan
- Hongbin Sun
- Joel Asiamah
- Joel Dawson
- Junbin Choi
- Jun Yang
- Khryslyn G Araño
- Logan Kearney
- Lu Yu
- Marm Dixit
- Matthew S Chambers
- Michael Toomey
- Nance Ericson
- Nancy Dudney
- Nihal Kanbargi
- Pablo Moriano Salazar
- Peeyush Nandwana
- Pradeep Ramuhalli
- Rangasayee Kannan
- Samudra Dasgupta
- Tomas Grejtak
- Varisara Tansakul
- Vera Bocharova
- Xiang Lyu
- Yaocai Bai
- Yiyu Wang
- Zhijia Du

This invention utilizes a custom-synthesized vinyl trifluoromethanesulfonimide (VTFSI) salt and an alcohol containing small molecule or polymer for the synthesis of novel single-ion conducting polymer electrolytes for the use in Li-ion and beyond Li-ion batteries, fuel cells,

This is a novel approach to enhance the performance and durability of all-solid-state batteries (ASSBs) by focusing on two primary components: the Si anode and the thin electrolyte integration.

Fabrication methods are needed that are easily scalable, will enable facile manufacturing of SSEs that are < 50 µm thick to attain high energy density, and also exhibit good stability at the interface of the anode. Specifically, Wu et al.

We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.