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Researcher
- Rama K Vasudevan
- Kyle Gluesenkamp
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Venugopal K Varma
- Bo Shen
- Kyle Kelley
- Mahabir Bhandari
- Melanie Moses-DeBusk Debusk
- Adam Aaron
- Anton Ievlev
- Arpan Biswas
- Charles D Ottinger
- Dhruba Deka
- Gerd Duscher
- Govindarajan Muralidharan
- James Manley
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Navin Kumar
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Rose Montgomery
- Sai Mani Prudhvi Valleti
- Sergey Smolentsev
- Sreshtha Sinha Majumdar
- Stephen Jesse
- Steven J Zinkle
- Sumner Harris
- Thomas R Muth
- Tugba Turnaoglu
- Utkarsh Pratiush
- Xiaobing Liu
- Yanli Wang
- Yeonshil Park
- Yifeng Hu
- Ying Yang
- Yutai Kato

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.&

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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.

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.

Fusion reactors need efficient systems to create tritium fuel and handle intense heat and radiation. Traditional liquid metal systems face challenges like high pressure losses and material breakdown in strong magnetic fields.

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