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Researcher
- Peeyush Nandwana
- Amit Shyam
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- Sudarsanam Babu
- Thomas Feldhausen
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- Tony Beard
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Xiuling Nie
- Yanli Wang
- Ying Yang
- Yiyu Wang
- Yutai Kato

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

The technologies provide a system and method of needling of veiled AS4 fabric tape.

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.

ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.