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Researcher
- Diana E Hun
- Rama K Vasudevan
- Philip Boudreaux
- Sergei V Kalinin
- Som Shrestha
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Tomonori Saito
- Bryan Maldonado Puente
- Kyle Kelley
- Mahabir Bhandari
- Nolan Hayes
- Venugopal K Varma
- Zoriana Demchuk
- Achutha Tamraparni
- Adam Aaron
- Anton Ievlev
- Arpan Biswas
- Brian Sanders
- Catalin Gainaru
- Charles D Ottinger
- Gerald Tuskan
- Gerd Duscher
- Gina Accawi
- Gurneesh Jatana
- Ilenne Del Valle Kessra
- Jerry Parks
- Karen Cortes Guzman
- Kuma Sumathipala
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Mark M Root
- Marti Checa Nualart
- Mengjia Tang
- Natasha Ghezawi
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Paul Abraham
- Peter Wang
- Sai Mani Prudhvi Valleti
- Shiwanka Vidarshi Wanasinghe Wanasinghe Mudiyanselage
- Singanallur Venkatakrishnan
- Stephen Jesse
- Stephen M Killough
- Sumner Harris
- Utkarsh Pratiush
- Vilmos Kertesz
- Xiaohan Yang
- Yang Liu
- Zhenglai Shen

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

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

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.

Detection of gene expression in plants is critical for understanding the molecular basis of plant physiology and plant responses to drought, stress, climate change, microbes, insects and other factors.

The incorporation of low embodied carbon building materials in the enclosure is increasing the fuel load for fire, increasing the demand for fire/flame retardants.

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

The traditional window installation process involves many steps. These are becoming even more complex with newer construction requirements such as installation of windows over exterior continuous insulation walls.