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Researcher
- Rama K Vasudevan
- Isabelle Snyder
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Adam Siekmann
- Emilio Piesciorovsky
- Kyle Kelley
- Subho Mukherjee
- Vivek Sujan
- Aaron Werth
- Aaron Wilson
- Ali Riza Ekti
- Anton Ievlev
- Arpan Biswas
- Elizabeth Piersall
- Eve Tsybina
- Gary Hahn
- Gerald Tuskan
- Gerd Duscher
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jeff Foster
- John F Cahill
- Josh Michener
- Liam Collins
- Liangyu Qian
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Neus Domingo Marimon
- Nils Stenvig
- Olga S Ovchinnikova
- Ozgur Alaca
- Paul Abraham
- Raymond Borges Hink
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumner Harris
- Utkarsh Pratiush
- Vilmos Kertesz
- Viswadeep Lebakula
- Xiaohan Yang
- Yang Liu
- Yarom Polsky

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.

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

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

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.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

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.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.