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Researcher
- Peeyush Nandwana
- Amit Shyam
- Andrzej Nycz
- Blane Fillingim
- Brian Post
- Kuntal De
- Lauren Heinrich
- Rangasayee Kannan
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- Alex Plotkowski
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- Andres Marquez Rossy
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- Clay Leach
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- Govindarajan Muralidharan
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- Rose Montgomery
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- Tim Graening Seibert
- Tomas Grejtak
- Venugopal K Varma
- Vincent Paquit
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xiaohan Yang
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

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.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

The first wall and blanket of a fusion energy reactor must maintain structural integrity and performance over long operational periods under neutron irradiation and minimize long-lived radioactive waste.

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

The invention provides a gene and methods for maintaining meiotic chromosomal architecture