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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Hongbin Sun
- Kyle Kelley
- Prashant Jain
- Yaosuo Xue
- Anton Ievlev
- Arpan Biswas
- Fei Wang
- Gerd Duscher
- Ian Greenquist
- Ilias Belharouak
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Nate See
- Neus Domingo Marimon
- Nithin Panicker
- Olga S Ovchinnikova
- Phani Ratna Vanamali Marthi
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Rafal Wojda
- Ruhul Amin
- Sai Mani Prudhvi Valleti
- Sreenivasa Jaldanki
- Stephen Jesse
- Suman Debnath
- Sumner Harris
- Sunil Subedi
- Utkarsh Pratiush
- Vishaldeep Sharma
- Vittorio Badalassi
- Yonghao Gui

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.

Measurements of grid voltage and current are essential for the optimal operation of the grid protection and control (P&C) systems.

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.