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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Gurneesh Jatana
- Jonathan Willocks
- Kyle Kelley
- Todd Toops
- Yeonshil Park
- Alexander I Wiechert
- Alexey Serov
- Anton Ievlev
- Arpan Biswas
- Benjamin Manard
- Charles F Weber
- Costas Tsouris
- Dhruba Deka
- Diana E Hun
- Gerd Duscher
- Gina Accawi
- Haiying Chen
- James Szybist
- Joanna Mcfarlane
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Mark M Root
- Marti Checa Nualart
- Matt Vick
- Melanie Moses-DeBusk Debusk
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Philip Boudreaux
- Sai Mani Prudhvi Valleti
- Singanallur Venkatakrishnan
- Sreshtha Sinha Majumdar
- Stephen Jesse
- Sumner Harris
- Utkarsh Pratiush
- Vandana Rallabandi
- William P Partridge Jr
- Xiang Lyu

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

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

We have been working to adapt background oriented schlieren (BOS) imaging to directly visualize building leakage, which is fast and easy.

The invention discloses methods of using a reducing agent for catalytic oxygen reduction from CO2 streams, enabling the treated CO2 streams to meet the pipeline specifications.

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

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.

Lean-burn natural gas (NG) engines are a preferred choice for the hard-to-electrify sectors for higher efficiency and lower NOx emissions, but methane slip can be a challenge.

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.