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Researcher
- Rama K Vasudevan
- Kyle Gluesenkamp
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Bo Shen
- Kyle Kelley
- Melanie Moses-DeBusk Debusk
- Anton Ievlev
- Arpan Biswas
- Brian Sanders
- Dhruba Deka
- Gerald Tuskan
- Gerd Duscher
- Ilenne Del Valle Kessra
- James Manley
- Jerry Parks
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Navin Kumar
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Paul Abraham
- Sai Mani Prudhvi Valleti
- Sreshtha Sinha Majumdar
- Stephen Jesse
- Sumner Harris
- Tugba Turnaoglu
- Utkarsh Pratiush
- Vilmos Kertesz
- Xiaobing Liu
- Xiaohan Yang
- Yang 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 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.

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.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

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

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.