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Researcher
- Adam M Guss
- Ali Passian
- Alex Plotkowski
- Amit Shyam
- Srikanth Yoginath
- Anees Alnajjar
- James A Haynes
- James J Nutaro
- Josh Michener
- Pratishtha Shukla
- Sergiy Kalnaus
- Sudip Seal
- Sumit Bahl
- Xiaohan Yang
- Alex Walters
- Alice Perrin
- Andres Marquez Rossy
- Andrzej Nycz
- Austin Carroll
- Beth L Armstrong
- Carrie Eckert
- Claire Marvinney
- Clay Leach
- Craig A Bridges
- Georgios Polyzos
- Gerald Tuskan
- Gerry Knapp
- Harper Jordan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jaswinder Sharma
- Jay D Huenemann
- Jeff Foster
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Jovid Rakhmonov
- Kyle Davis
- Liangyu Qian
- Mariam Kiran
- Nageswara Rao
- Nance Ericson
- Nancy Dudney
- Nicholas Richter
- Paul Abraham
- Peeyush Nandwana
- Ryan Dehoff
- Serena Chen
- Sheng Dai
- Sunyong Kwon
- Udaya C Kalluri
- Varisara Tansakul
- Vilmos Kertesz
- Vincent Paquit
- Yang Liu
- Ying Yang

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

By engineering the Serine Integrase Assisted Genome Engineering (SAGE) genetic toolkit in an industrial strain of Aspergillus niger, we have established its proof of principle for applicability in Eukaryotes.

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

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.

We present a comprehensive muti-technique approach for systematic investigation of enzymes generated by wastewater Comamonas species with hitherto unknown functionality to wards the depolymerization of plastics into bioaccessible products for bacterial metabolism.

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