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Researcher
- Rama K Vasudevan
- Kyle Gluesenkamp
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Adam Willoughby
- Bo Shen
- Kyle Kelley
- Melanie Moses-DeBusk Debusk
- Rishi Pillai
- Anton Ievlev
- Arpan Biswas
- Brandon Johnston
- Bruce A Pint
- Charles Hawkins
- Dhruba Deka
- Gerd Duscher
- James Manley
- Jiheon Jun
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marie Romedenne
- Marti Checa Nualart
- Navin Kumar
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Priyanshi Agrawal
- Sai Mani Prudhvi Valleti
- Sreshtha Sinha Majumdar
- Stephen Jesse
- Sumner Harris
- Tugba Turnaoglu
- Utkarsh Pratiush
- Xiaobing Liu
- Yeonshil Park
- Yifeng Hu
- Yong Chae Lim
- Zhili Feng

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 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.

A novel method that prevents detachment of an optical fiber from a metal/alloy tube and allows strain measurement up to higher temperatures, about 800 C has been developed. Standard commercial adhesives typically only survive up to about 400 C.

The invention introduces a novel, customizable method to create, manipulate, and erase polar topological structures in ferroelectric materials using atomic force microscopy.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

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.