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Researcher
- Rama K Vasudevan
- Ryan Dehoff
- Sergei V Kalinin
- Yongtao Liu
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- Debangshu Mukherjee
- Debjani Pal
- Debraj De
- Gautam Malviya Thakur
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Hsin Wang
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
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- Jamieson Brechtl
- Jeffrey Einkauf
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- Justin Griswold
- Kai Li
- Kevin Sparks
- Kuntal De
- Kyle Gluesenkamp
- Laetitia H Delmau
- Liam Collins
- Liz McBride
- Luke Sadergaski
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mina Yoon
- Nedim Cinbiz
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Padhraic L Mulligan
- Patxi Fernandez-Zelaia
- Peeyush Nandwana
- Philip Bingham
- Radu Custelcean
- Rangasayee Kannan
- Roger G Miller
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sandra Davern
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- Steven Randolph
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- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiaobing Liu
- Xiuling Nie
- Yan-Ru Lin
- Ying Yang
- Yukinori Yamamoto
- Zhiming Gao

Mechanism-Based Trait Inference in Plants Using Multiplex Networks, AI Agents, and Translation Tools
This system enables the modular design and optimization of complex plant traits by organizing genes and regulatory mechanisms into interpretable clades.

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

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

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

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.

The technologies provide a system and method of needling of veiled AS4 fabric tape.