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Researcher
- Brian K Post
- Ahmed Arabi Hassen
- Vlastimil Kunc
- Peeyush Nandwana
- Peter L Wang
- Ryan R Dehoff
- Vincent C Paquit
- Joshua E Vaughan
- Rangasayee Kannan
- Sudarsanam Babu
- Vipin Kumar
- Adam G Stevens
- Andrzej Nycz
- Christopher J Masuo
- Christopher T Tyler
- David Nuttall
- Kenton Blane Fillingim
- Michael M Kirka
- Ritin Mathews
- Soydan Ozcan
- Steven J. Guzorek
- William G Carter
- Yong Chae Lim
- Aaron W Werth
- Alex C Roschli
- Alex J Plotkowski
- Amir K Ziabari
- Amit K Naskar
- Andrew D Sutton
- Bishnu Prasad Thapaliya
- Brian T Gibson
- Bryan P Maldonado
- Corson L. Cramer
- Diana E Hun
- Edgar Lara-Curzio
- Emilio C Piesciorovsky
- Gary Hahn
- Halil L Tekinalp
- J.R. R Matheson
- James (Jim) Tobin
- Jeffrey C Foster
- Jesse Heineman
- Joseph D Rendall
- Josh K Michener
- Justin West
- Kashif Nawaz
- Lauren E Heinrich
- Logan T Kearney
- Luke T Meyer
- Michael J Cordon
- Michelle K Kidder
- Milton N Ericson
- Philip Bingham
- Philip R Boudreaux
- Raymond C Borges Hink
- Singanallur V Venkatakrishnan
- Steven E Bullock
- Thomas A Feldhausen
- Uday K Vaidya
- Umesh N MARATHE
- Yousub Lee
- Zhili Feng
- Adam M Aaron
- Ali Passian
- Amit Shyam
- Amy M Elliott
- Andrés E Márquez Rossy
- Andrew R Lupini
- Anisur Rahman
- Ben LaRiviere
- Beth L Armstrong
- Bryan Lim
- Cameron V Adkins
- Charles D Ottinger
- Christopher J Janke
- Christopher Ledford
- Christopher M Fancher
- Craig A Blue
- Daniel R Coughlin
- Dave D Willis
- David Olvera Trejo
- David S Parker
- Dhruba Deka
- Felix L Paulauskas
- Frederic Vautard
- Georges Chahine
- Greg S Larsen
- Harold A Walters
- Ilias Belharouak
- Ilja Popovs
- Isaiah T Dishner
- Isha Bhandari
- James C Haley
- James W Klett
- Jaydeep M Karandikar
- Jian Chen
- Jiheon Jun
- Jiho Seo
- Joel A Dawson
- Joel M Asiamah
- John F Cahill
- John M Lindahl
- John T Potter
- Jose H Chavez
- Josh D Crabtree
- Julian L Charron
- Jun Qu
- Kevin M Roccapriore
- Kim W Sitzlar
- Liam White
- Liangyu Qian
- Mahabir S Bhandari
- Marm B Dixit
- Matt Korey
- Meghan E Lamm
- Melanie M Debusk
- Michael C Borish
- Michael D Toomey
- Mikael M Salonvaara
- Nidia C Gallego
- Nolan W Hayes
- Obaid Rahman
- Ondrej E Dyck
- Parans Paranthaman
- Paritosh S Mhatre
- Paul W Groth
- Pengtao Wang
- Priyanshi Agrawal
- Pum Kim
- Rafal P Wojda
- Ramanan Sankaran
- Riley C Wallace
- Rishi R Pillai
- Ritu Sahore
- Rob C Jordan
- Robert L Sacci
- Roger G Miller
- Ryan C Ogle
- Samuel C Leach
- Santa Jansone-Popova
- Sarah M Graham
- Sargun Singh Rohewal
- Scott Smith
- Serena Chen
- Shajjad S Chowdhury
- Sheng Dai
- Som S Shrestha
- Sreshtha Sinha Majumdar
- Srikanth B Yoginath
- Stephen Jesse
- Stephen M Killough
- Subhabrata Saha
- Subhamay Pramanik
- Tao Wang
- Tomas Grejtak
- Tomonori Saito
- Trevor G Aguirre
- Troy W Seay
- Tyler C Smith
- Varisara Tansakul
- Venugopal K Varma
- Vera Bocharova
- Vilmos Kertesz
- Vimal A Ramanuj
- Wenjun Ge
- William H Peter
- Yarom Polsky
- Yeonshil Park
- Yiyu Wang
- Yukinori Yamamoto
- Zackary K Snow
ORNL researchers have developed a deep learning-based approach to rapidly perform high-quality reconstructions from sparse X-ray computed tomography measurements.
Generating energy models from scratch is a costly and time consuming task. A detailed energy model can have thousands of input parameters that are necessary for a complete simulation of a building. A solution to this problem is the AutoBEMGen framework.
The technologies provides additives for polymer synthesis.
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.
Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.
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 hybrid powder-encapsulated solvent over comes carbon capture challenges by providing a solution for easy handling of a non-toxic solid that is non-volatile and stable upon alternative energy regeneration methods.
For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.