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Researcher
- Amit K Naskar
- Yong Chae Lim
- Zhili Feng
- Jaswinder Sharma
- Jian Chen
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Rangasayee Kannan
- Wei Zhang
- Adam Stevens
- Annetta Burger
- Arit Das
- Benjamin L Doughty
- Brian Post
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Christopher Bowland
- Dali Wang
- Debraj De
- Edgar Lara-Curzio
- Felix L Paulauskas
- Frederic Vautard
- Gautam Malviya Thakur
- Holly Humphrey
- James Gaboardi
- Jason Jarnagin
- Jesse McGaha
- Jiheon Jun
- Kevin Spakes
- Kevin Sparks
- Lilian V Swann
- Liz McBride
- Mark Provo II
- Peeyush Nandwana
- Priyanshi Agrawal
- Robert E Norris Jr
- Rob Root
- Roger G Miller
- Ryan Dehoff
- Sam Hollifield
- Santanu Roy
- Sarah Graham
- Sudarsanam Babu
- Sumit Gupta
- Todd Thomas
- Tomas Grejtak
- Uvinduni Premadasa
- Vera Bocharova
- William Peter
- Xiuling Nie
- Yiyu Wang
- Yukinori Yamamoto

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

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

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

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).

A novel and cost-effective process for the activation of carbon fibers was established.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

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

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.

ORNL contributes to developing the concept of passive CO2 DAC by designing and testing a hybrid sorption system. This design aims to leverage the advantages of CO2 solubility and selectivity offered by materials with selective sorption of adsorbents.