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Researcher
- Tomonori Saito
- Anisur Rahman
- Jeff Foster
- Diana E Hun
- Mary Danielson
- Srikanth Yoginath
- Syed Islam
- Alexei P Sokolov
- Catalin Gainaru
- James J Nutaro
- Michelle Lehmann
- Natasha Ghezawi
- Pratishtha Shukla
- Ramesh Bhave
- Rob Moore II
- Sudip Seal
- Vera Bocharova
- Zoriana Demchuk
- Achutha Tamraparni
- Ali Passian
- Benjamin L Doughty
- Bryan Lim
- Corson Cramer
- Harper Jordan
- Isaiah Dishner
- Joel Asiamah
- Joel Dawson
- Josh Michener
- Karen Cortes Guzman
- Kuma Sumathipala
- Liangyu Qian
- Matthew Brahlek
- Mengjia Tang
- Nance Ericson
- Nick Galan
- Nick Gregorich
- Pablo Moriano Salazar
- Peeyush Nandwana
- Rangasayee Kannan
- Robert Sacci
- Santanu Roy
- Shailesh Dangwal
- Shannon M Mahurin
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Som Shrestha
- Tao Hong
- Tomas Grejtak
- Uvinduni Premadasa
- Varisara Tansakul
- 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,

PET is used in many commercial products, but only a fraction is mechanically recycled, and even less is chemically recycled.

Developed a novel energy efficient, cost-effective, environmentally friendly process for separation of lithium from end-of-life lithium-ion batteries.

This work presents a novel method for upcycling polyethylene terephthalate (PET) waste into sustainable vitrimer materials. By combining bio-based crosslinkers with our PET-based macromonomer, we developed dynamically bonded plastics that are renewably sourced.

This invention focuses on improving the ceramic yield of preceramic polymers by tuning the crosslinking process that occurs during vat photopolymerization (VP).

This invention introduces an innovative method for upcycling waste polyalkenamers, such as polybutadiene and acrylonitrile butadiene styrene, into high-performance materials through ring-opening metathesis polymerization (ROMP).

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.