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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Ying Yang
- Yongtao Liu
- Kevin M Roccapriore
- Lawrence {Larry} M Anovitz
- Maxim A Ziatdinov
- Alice Perrin
- Kyle Kelley
- Steven J Zinkle
- Yanli Wang
- Yutai Kato
- Alex Plotkowski
- Amit Shyam
- Andrew G Stack
- Anton Ievlev
- Arpan Biswas
- Bruce A Pint
- Christopher Ledford
- Costas Tsouris
- Gerd Duscher
- Gerry Knapp
- Gs Jung
- Gyoung Gug Jang
- James A Haynes
- Jong K Keum
- Juliane Weber
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Michael Kirka
- Mina Yoon
- Neus Domingo Marimon
- Nicholas Richter
- Olga S Ovchinnikova
- Patxi Fernandez-Zelaia
- Peng Yang
- Radu Custelcean
- Ryan Dehoff
- Sai Krishna Reddy Adapa
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumit Bahl
- Sumner Harris
- Sunyong Kwon
- Tim Graening Seibert
- Utkarsh Pratiush
- Weicheng Zhong
- Wei Tang
- Xiang Chen
- Yan-Ru Lin

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

CO2 capture by mineral looping, either using calcium or magnesium precursors requires that the materials be calcined after CO2 is captured from the atmosphere. This separates the CO2 for later sequestration and returned the starting material to its original state.

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.

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.

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.

Mineral looping is a promising method for direct air capture of CO2. However, reduction of sorbent reactivity after each loop is likely to be significant problems for mineral looping by MgO.

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.

High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.