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Researcher
- Beth L Armstrong
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Jun Qu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Alex Plotkowski
- Amit Shyam
- Corson Cramer
- James A Haynes
- Kyle Kelley
- Meghan Lamm
- Steve Bullock
- Sumit Bahl
- Tomas Grejtak
- Alice Perrin
- Anton Ievlev
- Arpan Biswas
- Ben Lamm
- Bryan Lim
- Christopher Ledford
- Daniel Jacobson
- David J Mitchell
- Ethan Self
- Gabriel Veith
- Gerd Duscher
- Gerry Knapp
- James Klett
- Jordan Wright
- Jovid Rakhmonov
- Khryslyn G Araño
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marm Dixit
- Marti Checa Nualart
- Matthew S Chambers
- Michael Kirka
- Nancy Dudney
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Peeyush Nandwana
- Rangasayee Kannan
- Sai Mani Prudhvi Valleti
- Sergiy Kalnaus
- Shajjad Chowdhury
- Stephen Jesse
- Sumner Harris
- Sunyong Kwon
- Tolga Aytug
- Trevor Aguirre
- Utkarsh Pratiush
- Ying Yang
- Yiyu Wang

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

Currently available cast Al alloys are not suitable for various high-performance conductor applications, such as rotor, inverter, windings, busbar, heat exchangers/sinks, etc.

The invented alloys are a new family of Al-Mg alloys. This new family of Al-based alloys demonstrate an excellent ductility (10 ± 2 % elongation) despite the high content of impurities commonly observed in recycled aluminum.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

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.

Using all polymer formulations, the PIP densification is improved almost 70% over traditional preceramic polymers and PIP material leading to cost and times saving for densifying ceramic composites made from powder or fibers.

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

New demands in electric vehicles have resulted in design changes for the power electronic components such as the capacitor to incur lower volume, higher operating temperatures, and dielectric properties (high dielectric permittivity and high electrical breakdown strengths).