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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Alexey Serov
- Hongbin Sun
- Jaswinder Sharma
- Kyle Kelley
- Prashant Jain
- Xiang Lyu
- Amit K Naskar
- Anton Ievlev
- Arpan Biswas
- Beth L Armstrong
- Gabriel Veith
- Georgios Polyzos
- Gerd Duscher
- Holly Humphrey
- Ian Greenquist
- Ilias Belharouak
- James Szybist
- Jonathan Willocks
- Junbin Choi
- Khryslyn G Araño
- Liam Collins
- Logan Kearney
- Mahshid Ahmadi-Kalinina
- Marm Dixit
- Marti Checa Nualart
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Nate See
- Neus Domingo Marimon
- Nihal Kanbargi
- Nithin Panicker
- Olga S Ovchinnikova
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ritu Sahore
- Ruhul Amin
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumner Harris
- Todd Toops
- Utkarsh Pratiush
- Vishaldeep Sharma
- Vittorio Badalassi

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

The invention presented here addresses key challenges associated with counterfeit refrigerants by ensuring safety, maintaining system performance, supporting environmental compliance, and mitigating health and legal risks.

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

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

A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

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.

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

Recent advances in magnetic fusion (tokamak) technology have attracted billions of dollars of investments in startups from venture capitals and corporations to develop devices demonstrating net energy gain in a self-heated burning plasma, such as SPARC (under construction) and