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Researcher
- Rama K Vasudevan
- Kyle Gluesenkamp
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Bo Shen
- Hongbin Sun
- Kyle Kelley
- Melanie Moses-DeBusk Debusk
- Prashant Jain
- Anton Ievlev
- Arpan Biswas
- Dhruba Deka
- Gerd Duscher
- Ian Greenquist
- Ilias Belharouak
- James Manley
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Nate See
- Navin Kumar
- Neus Domingo Marimon
- Nithin Panicker
- Olga S Ovchinnikova
- Pradeep Ramuhalli
- Praveen Cheekatamarla
- Ruhul Amin
- Sai Mani Prudhvi Valleti
- Sreshtha Sinha Majumdar
- Stephen Jesse
- Sumner Harris
- Tugba Turnaoglu
- Utkarsh Pratiush
- Vishaldeep Sharma
- Vittorio Badalassi
- Xiaobing Liu
- Yeonshil Park
- Yifeng Hu

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 describes a configuration of dishwasher using thermoelectric heat pumps that can accomplish energy savings and enhanced drying performance.

This invention aims to develop a new feature for a heat pump water heater having a forced flow condenser, coupled with a mixing valve, and a new feature to maximize the first hour rating and provide quick response to hot water demand, comparable to a typical gas water heater.&

Develop an innovative refrigerator having a thermoelectric cooler cascaded with a regular refrigerator compression system. the TE cooler dedicatedly controls the temperature in a freezer compartment.

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.

Lean-burn natural gas (NG) engines are a preferred choice for the hard-to-electrify sectors for higher efficiency and lower NOx emissions, but methane slip can be a challenge.

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