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Researcher
- Adam M Guss
- Rafal Wojda
- Isabelle Snyder
- Josh Michener
- Liangyu Qian
- Prasad Kandula
- Subho Mukherjee
- Vandana Rallabandi
- Adam Siekmann
- Ali Riza Ekti
- Andrzej Nycz
- Austin L Carroll
- Biruk A Feyissa
- Carrie Eckert
- Daniel Jacobson
- Emilio Piesciorovsky
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Kuntal De
- Mostak Mohammad
- Omer Onar
- Raymond Borges Hink
- Serena Chen
- Soydan Ozcan
- Suman Debnath
- Udaya C Kalluri
- Vilmos Kertesz
- Vivek Sujan
- Xianhui Zhao
- Xiaohan Yang
- Yaosuo Xue
- Aaron Werth
- Aaron Wilson
- Alexander Enders
- Alexander I Wiechert
- Alex Plotkowski
- Alex Roschli
- Alex Walters
- Benjamin Manard
- Brian Sanders
- Burak Ozpineci
- Charles F Weber
- Chris Masuo
- Christopher Fancher
- Christopher S Blessinger
- Clay Leach
- Costas Tsouris
- Dali Wang
- Debjani Pal
- Derek Dwyer
- Elizabeth Piersall
- Emrullah Aydin
- Erin Webb
- Eve Tsybina
- Evin Carter
- Fei Wang
- Gary Hahn
- Gerald Tuskan
- Halil Tekinalp
- Ilenne Del Valle Kessra
- Isaac Sikkema
- Jay D Huenemann
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- Jin Dong
- Joanna Mcfarlane
- Joanna Tannous
- Jonathan Willocks
- Joseph Olatt
- Junghyun Bae
- Kitty K Mccracken
- Kunal Mondal
- Kyle Davis
- Louise G Evans
- Mahim Mathur
- Marcio Magri Kimpara
- Matt Vick
- Mengdawn Cheng
- Mingyan Li
- Nandhini Ashok
- Nils Stenvig
- Oluwafemi Oyedeji
- Oscar Martinez
- Ozgur Alaca
- Paul Abraham
- Paula Cable-Dunlap
- Peter L Fuhr
- Phani Ratna Vanamali Marthi
- Praveen Kumar
- Richard L. Reed
- Sam Hollifield
- Sanjita Wasti
- Shajjad Chowdhury
- Sreenivasa Jaldanki
- Sunil Subedi
- Tyler Smith
- Vincent Paquit
- Viswadeep Lebakula
- Wei Zhang
- William Alexander
- Yang Liu
- Yarom Polsky
- Yasemin Kaygusuz
- Yonghao Gui
- Zhili Feng

Mechanism-Based Trait Inference in Plants Using Multiplex Networks, AI Agents, and Translation Tools
This system enables the modular design and optimization of complex plant traits by organizing genes and regulatory mechanisms into interpretable clades.

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

We have developed a novel extrusion-based 3D printing technique that can achieve a resolution of 0.51 mm layer thickness, and catalyst loading of 44% and 90.5% before and after drying, respectively.

Enzymes for synthesis of sequenced oligoamide triads and tetrads that can be polymerized into sequenced copolyamides.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

We tested 48 diverse homologs of SfaB and identified several enzyme variants that were more active than SfaB at synthesizing the nylon-6,6 monomer.

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

We have developed thermophilic bacterial strains that can break down PET and consume ethylene glycol and TPA. This will help enable modern, petroleum-derived plastics to be converted into value-added chemicals.

Misalignment issues of the PWPT system have been addressed. The intercell power transformer has been introduced in order to improve load sharing of the system during a mismatch of the primary single-phase coil and the secondary multi-phase coils.

By engineering the Serine Integrase Assisted Genome Engineering (SAGE) genetic toolkit in an industrial strain of Aspergillus niger, we have established its proof of principle for applicability in Eukaryotes.

This technology can help to increase number of application areas of Wireless Power Transfer systems. It can be applied to consumer electronics, defense industry, automotive industry etc.