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Researcher
- Adam M Guss
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Josh Michener
- Kuntal De
- Kyle Kelley
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Alex Walters
- Anton Ievlev
- Arpan Biswas
- Austin Carroll
- Brian Sanders
- Chris Masuo
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Gerald Tuskan
- Gerd Duscher
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- John F Cahill
- Kyle Davis
- Liam Collins
- Liangyu Qian
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Nandhini Ashok
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Paul Abraham
- Sai Mani Prudhvi Valleti
- Serena Chen
- Stephen Jesse
- Sumner Harris
- Utkarsh Pratiush
- Vincent Paquit
- Yang Liu
- Yasemin Kaygusuz

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

Genetic modification of microbes that are thermophiles—ones that grow at elevated temperatures—is extremely challenging. Tools developed for E. coli, a typical host for protein production, typically do not function at elevated temperatures.

There is a critical need for new antiviral drugs for treating infections of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2).

The invention provides on-line analysis of droplets for mass spectrometry.

The invention provides a gene and methods for maintaining meiotic chromosomal architecture

An innovative system for automating the surveillance and manipulation of plant tissues using advanced machine vision and robotic tools.

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

An ORNL team has developed a method for screening for an immunoregulatory protein, which includes assessing the sequence of a candidate protein to determine if it is an immunoregulatory protein when at least one plasminogen-apple-nematode (PAN) domain with a consensus sequence