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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Sam Hollifield
- Chad Steed
- Junghoon Chae
- Kashif Nawaz
- Mingyan Li
- Stephen Jesse
- Travis Humble
- Aaron Werth
- Ali Passian
- An-Ping Li
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Bogdan Dryzhakov
- Brian Fricke
- Brian Weber
- Christopher Rouleau
- Costas Tsouris
- Daniel Jacobson
- Debangshu Mukherjee
- Emilio Piesciorovsky
- Gary Hahn
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Harper Jordan
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Isaac Sikkema
- Ivan Vlassiouk
- Jamieson Brechtl
- Jason Jarnagin
- Jewook Park
- Joel Asiamah
- Joel Dawson
- Jong K Keum
- Joseph Olatt
- Kai Li
- Kevin Spakes
- Kunal Mondal
- Kyle Gluesenkamp
- Liam Collins
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mahshid Ahmadi-Kalinina
- Mark Provo II
- Marti Checa Nualart
- Mary A Adkisson
- Md Inzamam Ul Haque
- Mina Yoon
- Nance Ericson
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Oscar Martinez
- Radu Custelcean
- Raymond Borges Hink
- Rob Root
- Saban Hus
- Sai Mani Prudhvi Valleti
- Samudra Dasgupta
- Srikanth Yoginath
- Steven Randolph
- Sumner Harris
- T Oesch
- Utkarsh Pratiush
- Varisara Tansakul
- Yarom Polsky
- Zhiming Gao

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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 ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

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

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.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.

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