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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Ali Riza Ekti
- Hongbin Sun
- Kyle Kelley
- Prashant Jain
- Raymond Borges Hink
- Aaron Werth
- Aaron Wilson
- Anton Ievlev
- Arpan Biswas
- Burak Ozpineci
- Elizabeth Piersall
- Emilio Piesciorovsky
- Emrullah Aydin
- Gary Hahn
- Gerd Duscher
- Ian Greenquist
- Ilias Belharouak
- Isaac Sikkema
- Isabelle Snyder
- Joseph Olatt
- Kunal Mondal
- Liam Collins
- Mahim Mathur
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Mingyan Li
- Mostak Mohammad
- Nate See
- Neus Domingo Marimon
- Nils Stenvig
- Nithin Panicker
- Olga S Ovchinnikova
- Omer Onar
- Oscar Martinez
- Ozgur Alaca
- Peter L Fuhr
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Sai Mani Prudhvi Valleti
- Sam Hollifield
- Stephen Jesse
- Sumner Harris
- Utkarsh Pratiush
- Vishaldeep Sharma
- Vittorio Badalassi
- 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

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.

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.

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.

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.

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

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.