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- Ahmed Hassen
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- Luke Koch
- Mahim Mathur
- Mark Provo II
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- Priyanshi Agrawal
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- Subhabrata Saha
- Thomas Feldhausen
- T Oesch
- Tomas Grejtak
- Varisara Tansakul
- Wei Zhang
- William Peter
- Xianhui Zhao
- Yarom Polsky
- Yiyu Wang
- Yukinori Yamamoto

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

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

Through utilizing a two function splice we can increase the splice strength for opposing tows.
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

This invention introduces a continuous composite forming process that produces large parts with variable cross-sections and shapes, exceeding the size of the forming machine itself.