Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate
(29)
- Computing and Computational Sciences Directorate (39)
- Energy Science and Technology Directorate (229)
- Fusion and Fission Energy and Science Directorate (24)
- Information Technology Services Directorate (3)
- Isotope Science and Enrichment Directorate (7)
- National Security Sciences Directorate (20)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (138)
- User Facilities (28)
Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Kyle Kelley
- Soydan Ozcan
- Xianhui Zhao
- Alex Roschli
- Anton Ievlev
- Arpan Biswas
- Brian Sanders
- Dali Wang
- Erin Webb
- Evin Carter
- Gerald Tuskan
- Gerd Duscher
- Halil Tekinalp
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jeff Foster
- Jeremy Malmstead
- Jerry Parks
- Jian Chen
- John F Cahill
- Josh Michener
- Kitty K Mccracken
- Liam Collins
- Liangyu Qian
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Mengdawn Cheng
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Paul Abraham
- Paula Cable-Dunlap
- Sai Mani Prudhvi Valleti
- Sanjita Wasti
- Stephen Jesse
- Sumner Harris
- Tyler Smith
- Utkarsh Pratiush
- Vilmos Kertesz
- Wei Zhang
- Xiaohan Yang
- Yang Liu
- Zhili Feng

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.

Dual-GP addresses limitations in traditional GPBO-driven autonomous experimentation by incorporating an additional surrogate observer and allowing human oversight, this technique improves optimization efficiency via data quality assessment and adaptability to unanticipated exp

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.

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

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

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.

Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.

The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.