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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Ali Riza Ekti
- Raymond Borges Hink
- Stephen Jesse
- Aaron Werth
- Aaron Wilson
- An-Ping Li
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Bogdan Dryzhakov
- Burak Ozpineci
- Elizabeth Piersall
- Emilio Piesciorovsky
- Emrullah Aydin
- Gary Hahn
- Gerd Duscher
- Hoyeon Jeon
- Huixin (anna) Jiang
- Isaac Sikkema
- Isabelle Snyder
- Jamieson Brechtl
- Jewook Park
- Joseph Olatt
- Kai Li
- Kashif Nawaz
- Kunal Mondal
- Liam Collins
- Mahim Mathur
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Mingyan Li
- Mostak Mohammad
- Neus Domingo Marimon
- Nils Stenvig
- Olga S Ovchinnikova
- Omer Onar
- Ondrej Dyck
- Oscar Martinez
- Ozgur Alaca
- Peter L Fuhr
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sam Hollifield
- Steven Randolph
- Sumner Harris
- Utkarsh Pratiush
- Yarom Polsky

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

This technology can help to increase number of application areas of Wireless Power Transfer systems. It can be applied to consumer electronics, defense industry, automotive industry etc.

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

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

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.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

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.

Moisture management accounts for over 40% of the energy used by buildings. As such development of energy efficient and resilient dehumidification technologies are critical to decarbonize the building energy sector.