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Researcher
- Beth L Armstrong
- Gabriel Veith
- Guang Yang
- Michelle Lehmann
- Srikanth Yoginath
- Tomonori Saito
- Andrzej Nycz
- Chad Steed
- Chris Masuo
- Ethan Self
- James J Nutaro
- Jaswinder Sharma
- Junghoon Chae
- Luke Meyer
- Pratishtha Shukla
- Robert Sacci
- Sergiy Kalnaus
- Sudip Seal
- Travis Humble
- William Carter
- Alexey Serov
- Alex Walters
- Ali Passian
- Amanda Musgrove
- Amit K Naskar
- Anisur Rahman
- Anna M Mills
- Bruce Hannan
- Bryan Lim
- Chanho Kim
- Georgios Polyzos
- Harper Jordan
- Ilias Belharouak
- Joel Asiamah
- Joel Dawson
- Joshua Vaughan
- Jun Yang
- Khryslyn G Araño
- Logan Kearney
- Loren L Funk
- Matthew S Chambers
- Michael Toomey
- Nance Ericson
- Nancy Dudney
- Nihal Kanbargi
- Pablo Moriano Salazar
- Peeyush Nandwana
- Peter Wang
- Polad Shikhaliev
- Rangasayee Kannan
- Samudra Dasgupta
- Theodore Visscher
- Tomas Grejtak
- Varisara Tansakul
- Vera Bocharova
- Vladislav N Sedov
- Xiang Lyu
- Yacouba Diawara
- Yiyu Wang

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.

ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.

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.

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.