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Researcher
- Adam M Guss
- Rama K Vasudevan
- Ryan Dehoff
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Vincent Paquit
- Andrzej Nycz
- Clay Leach
- Josh Michener
- Kashif Nawaz
- Kuntal De
- Michael Kirka
- Stephen Jesse
- Udaya C Kalluri
- Xiaohan Yang
- Aaron Myers
- Adam Stevens
- Ahmed Hassen
- Alex Plotkowski
- Alex Walters
- Alice Perrin
- Amir K Ziabari
- Amit Shyam
- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Austin Carroll
- Biruk A Feyissa
- Blane Fillingim
- Bogdan Dryzhakov
- Brian Fricke
- Brian Post
- Carrie Eckert
- Chris Masuo
- Christopher Ledford
- Christopher Rouleau
- Costas Tsouris
- David Nuttall
- Debangshu Mukherjee
- Debjani Pal
- Eve Tsybina
- Gerald Tuskan
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilenne Del Valle Kessra
- Ilia N Ivanov
- Isaiah Dishner
- Ivan Vlassiouk
- James Haley
- Jamieson Brechtl
- Jay D Huenemann
- Jeff Foster
- Jewook Park
- Joanna Tannous
- John F Cahill
- Jong K Keum
- Justin Cazares
- Kai Li
- Kyle Davis
- Kyle Gluesenkamp
- Liam Collins
- Liangyu Qian
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Larson
- Md Inzamam Ul Haque
- Mina Yoon
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Patxi Fernandez-Zelaia
- Paul Abraham
- Peeyush Nandwana
- Philip Bingham
- Radu Custelcean
- Rangasayee Kannan
- Roger G Miller
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sarah Graham
- Serena Chen
- Singanallur Venkatakrishnan
- Steven Randolph
- Sudarsanam Babu
- Sumner Harris
- Utkarsh Pratiush
- Vilmos Kertesz
- Vipin Kumar
- Viswadeep Lebakula
- Vlastimil Kunc
- William Peter
- Xiaobing Liu
- Yan-Ru Lin
- Yang Liu
- Ying Yang
- Yukinori Yamamoto
- Zhiming Gao

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

By engineering the Serine Integrase Assisted Genome Engineering (SAGE) genetic toolkit in an industrial strain of Aspergillus niger, we have established its proof of principle for applicability in Eukaryotes.

We present a comprehensive muti-technique approach for systematic investigation of enzymes generated by wastewater Comamonas species with hitherto unknown functionality to wards the depolymerization of plastics into bioaccessible products for bacterial metabolism.

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

High coercive fields prevalent in wurtzite ferroelectrics present a significant challenge, as they hinder efficient polarization switching, which is essential for microelectronic applications.

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.

Distortion in scanning tunneling microscope (STM) images is an unavoidable problem. This technology is an algorithm to identify and correct distorted wavefronts in atomic resolution STM images.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

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.