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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Srikanth Yoginath
- Edgar Lara-Curzio
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- Kyle Kelley
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- Anton Ievlev
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- Bishnu Prasad Thapaliya
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- Marie Romedenne
- Marti Checa Nualart
- Nance Ericson
- Neus Domingo Marimon
- Nidia Gallego
- Olga S Ovchinnikova
- Rishi Pillai
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumner Harris
- Tim Graening Seibert
- Utkarsh Pratiush
- Varisara Tansakul
- Weicheng Zhong
- Wei Tang
- Xiang Chen

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

V-Cr-Ti alloys have been proposed as candidate structural materials in fusion reactor blanket concepts with operation temperatures greater than that for reduced activation ferritic martensitic steels (RAFMs).

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

With the ever-growing reliance on batteries, the need for the chemicals and materials to produce these batteries is also growing accordingly. One area of critical concern is the need for high quality graphite to ensure adequate energy storage capacity and battery stability.

Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

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 bonded carbon fiber monolith was made using a coal-based pitch precursor without a binder.

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