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Researcher
- Sheng Dai
- Parans Paranthaman
- Bishnu Prasad Thapaliya
- Zhenzhen Yang
- Craig A Bridges
- Shannon M Mahurin
- Venugopal K Varma
- Yong Chae Lim
- Zhili Feng
- Edgar Lara-Curzio
- Ilja Popovs
- Jian Chen
- Li-Qi Qiu
- Mahabir Bhandari
- Rangasayee Kannan
- Saurabh Prakash Pethe
- Tolga Aytug
- Uday Vaidya
- Wei Zhang
- Adam Aaron
- Adam Stevens
- Ahmed Hassen
- Alexei P Sokolov
- Anees Alnajjar
- Ben Lamm
- Beth L Armstrong
- Brian Post
- Bruce Moyer
- Bryan Lim
- Charles D Ottinger
- Dali Wang
- Eric Wolfe
- Frederic Vautard
- Govindarajan Muralidharan
- Jayanthi Kumar
- Jiheon Jun
- Kaustubh Mungale
- Meghan Lamm
- Nageswara Rao
- Nidia Gallego
- Peeyush Nandwana
- Phillip Halstenberg
- Priyanshi Agrawal
- Roger G Miller
- Rose Montgomery
- Ryan Dehoff
- Santa Jansone-Popova
- Sarah Graham
- Sergey Smolentsev
- Shajjad Chowdhury
- Steven J Zinkle
- Subhamay Pramanik
- Sudarsanam Babu
- Tao Hong
- Thomas R Muth
- Tomas Grejtak
- Tomonori Saito
- Vlastimil Kunc
- William Peter
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yukinori Yamamoto
- Yutai Kato

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

A novel strategy was developed to solve the limitations of the current sorbent systems in CO2 chemisorption in terms of energy consumption in CO2 release and improved CO2 uptake capacity.

This invention introduces a novel sintering approach to produce hard carbon with a finely tuned microstructure, derived from biomass and plastic waste.

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

The increasing demand for high-purity lanthanides, essential for advanced technologies such as electronics, renewable energy, and medical applications, presents a significant challenge due to their similar chemical properties.

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.

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

Fusion reactors need efficient systems to create tritium fuel and handle intense heat and radiation. Traditional liquid metal systems face challenges like high pressure losses and material breakdown in strong magnetic fields.