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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Isabelle Snyder
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Emilio Piesciorovsky
- Hongbin Sun
- Kyle Kelley
- Prashant Jain
- Aaron Werth
- Aaron Wilson
- Adam Siekmann
- Ali Riza Ekti
- Anton Ievlev
- Arpan Biswas
- Elizabeth Piersall
- Eve Tsybina
- Gary Hahn
- Gerd Duscher
- Ian Greenquist
- Ilias Belharouak
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Nate See
- Neus Domingo Marimon
- Nils Stenvig
- Nithin Panicker
- Olga S Ovchinnikova
- Ozgur Alaca
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Raymond Borges Hink
- Ruhul Amin
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Subho Mukherjee
- Sumner Harris
- Utkarsh Pratiush
- Vishaldeep Sharma
- Viswadeep Lebakula
- Vittorio Badalassi
- Vivek Sujan
- 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

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.

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

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.