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Researcher
- Rama K Vasudevan
- Rafal Wojda
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Prasad Kandula
- Kyle Kelley
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- Viswadeep Lebakula
- Aaron Myers
- Alexandre Sorokine
- Alex Plotkowski
- Annetta Burger
- Anton Ievlev
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- Christopher Fancher
- Clinton Stipek
- Daniel Adams
- Debraj De
- Eve Tsybina
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- Liz McBride
- Mahshid Ahmadi-Kalinina
- Marcio Magri Kimpara
- Marti Checa Nualart
- Matt Larson
- Mostak Mohammad
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Omer Onar
- Philipe Ambrozio Dias
- Praveen Kumar
- Sai Mani Prudhvi Valleti
- Shajjad Chowdhury
- Stephen Jesse
- Subho Mukherjee
- Suman Debnath
- Sumner Harris
- Taylor Hauser
- Todd Thomas
- Utkarsh Pratiush
- Xiuling Nie

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

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.

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

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.

An ORNL invention proposes using 3D printing to make conductors with space-filling thin-wall cross sections. Space-filling thin-wall profiles will maximize the conductor volume while restricting the path for eddy currents induction.

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