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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Alexander I Wiechert
- Blane Fillingim
- Brian Post
- Costas Tsouris
- Kyle Kelley
- Lauren Heinrich
- Olga S Ovchinnikova
- Peeyush Nandwana
- Sudarsanam Babu
- Thomas Feldhausen
- Yousub Lee
- Anton Ievlev
- Arpan Biswas
- Benjamin Manard
- Charles F Weber
- Debangshu Mukherjee
- Derek Dwyer
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Joanna Mcfarlane
- Jonathan Willocks
- Liam Collins
- Louise G Evans
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Vick
- Md Inzamam Ul Haque
- Mengdawn Cheng
- Neus Domingo Marimon
- Paula Cable-Dunlap
- Radu Custelcean
- Ramanan Sankaran
- Richard L. Reed
- Sai Mani Prudhvi Valleti
- Stephen Jesse
- Sumner Harris
- Utkarsh Pratiush
- Vandana Rallabandi
- Vimal Ramanuj
- Wenjun Ge

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.

Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.

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.

Pyrolysis evolved gas analysis – mass spectrometry (EGA-MS) and pyrolysis gas chromatography – MS (GC-MS) – are powerful analytical tools for polymer characterization.

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

This work seeks to alter the interface condition through thermal history modification, deposition energy density, and interface surface preparation to prevent interface cracking.

Additive manufacturing (AM) enables the incremental buildup of monolithic components with a variety of materials, and material deposition locations.

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.