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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Hongbin Sun
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Daniel Jacobson
- Kyle Kelley
- Prashant Jain
- Anton Ievlev
- Arpan Biswas
- Gerd Duscher
- Ian Greenquist
- Ilias Belharouak
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Nate See
- Neus Domingo Marimon
- Nithin Panicker
- Olga S Ovchinnikova
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumner Harris
- Thien D. Nguyen
- Utkarsh Pratiush
- Vishaldeep Sharma
- Vittorio Badalassi

In nuclear and industrial facilities, fine particles, including radioactive residues—can accumulate on the interior surfaces of ventilation ducts and equipment, posing serious safety and operational risks.

Mechanism-Based Trait Inference in Plants Using Multiplex Networks, AI Agents, and Translation Tools
This system enables the modular design and optimization of complex plant traits by organizing genes and regulatory mechanisms into interpretable clades.

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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.

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