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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Kyle Kelley
- Rob Moore II
- Stephen M Killough
- Anton Ievlev
- Arpan Biswas
- Benjamin Lawrie
- Bryan Maldonado Puente
- Chengyun Hua
- Corey Cooke
- Diana E Hun
- Gabor Halasz
- Gerd Duscher
- Jiaqiang Yan
- John Holliman II
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matthew Brahlek
- Neus Domingo Marimon
- Nolan Hayes
- Olga S Ovchinnikova
- Peter Wang
- Petro Maksymovych
- Philip Boudreaux
- Ryan Kerekes
- Sai Mani Prudhvi Valleti
- Sally Ghanem
- Stephen Jesse
- Sumner Harris
- Utkarsh Pratiush

How fast is a vehicle traveling? For different reasons, this basic question is of interest to other motorists, insurance companies, law enforcement, traffic planners, and security personnel. Solutions to this measurement problem suffer from a number of constraints.

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 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.

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

When a magnetic field is applied to a type-II superconductor, it penetrates the superconductor in a thin cylindrical line known as a vortex line. Traditional methods to manipulate these vortices are limited in precision and affect a broad area.

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.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

Molecular Beam Epitaxy is a traditional technique for the synthesis of thin film materials used in the semiconducting and microelectronics industry. In its essence, the MBE technique heats crucibles filled with ultra-pure atomic elements under ultra high vacuum condition