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Researcher
- Rama K Vasudevan
- Gabriel Veith
- Guang Yang
- Michelle Lehmann
- Sergei V Kalinin
- Yongtao Liu
- Beth L Armstrong
- Kevin M Roccapriore
- Kyle Kelley
- Lawrence {Larry} M Anovitz
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Robert Sacci
- Tomonori Saito
- Ethan Self
- Jaswinder Sharma
- Kashif Nawaz
- Sergiy Kalnaus
- Stephen Jesse
- Alexandra Moy
- Alexey Serov
- Amanda Musgrove
- Amit K Naskar
- An-Ping Li
- Andrew G Stack
- Andrew Lupini
- Anisur Rahman
- Anna M Mills
- Anton Ievlev
- Arpan Biswas
- Benjamin Lawrie
- Benjamin L Doughty
- Bogdan Dryzhakov
- Brian Fricke
- Chanho Kim
- Chengyun Hua
- Christopher Rouleau
- Costas Tsouris
- Debangshu Mukherjee
- Felipe Polo Garzon
- Gabor Halasz
- Georgios Polyzos
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ilias Belharouak
- Ivan Vlassiouk
- Jamieson Brechtl
- Jewook Park
- Jiaqiang Yan
- Jong K Keum
- Juliane Weber
- Jun Yang
- Junyan Zhang
- Kai Li
- Khryslyn G Araño
- Kyle Gluesenkamp
- Liam Collins
- Logan Kearney
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matthew S Chambers
- Md Inzamam Ul Haque
- Michael Toomey
- Mina Yoon
- Nancy Dudney
- Neus Domingo Marimon
- Nickolay Lavrik
- Nihal Kanbargi
- Ondrej Dyck
- Peng Yang
- Petro Maksymovych
- Radu Custelcean
- Saban Hus
- Sai Krishna Reddy Adapa
- Sai Mani Prudhvi Valleti
- Steven Randolph
- Sumner Harris
- Utkarsh Pratiush
- Vera Bocharova
- Xiang Lyu
- Zhiming Gao

This invention provides a method for differentiating if the cell is failing due to chemical/mechanical factors or due to Li dendrite formation by combing high throughput electronic measurement recording with fast data analysis to monitor the change of battery performance at th

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

This technology provides a device, platform and method of fabrication of new atomically tailored materials. This “synthescope” is a scanning transmission electron microscope (STEM) transformed into an atomic-scale material manipulation platform.

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.

An efficient, eco-friendly metal extraction using ultrasonic leaching, ideal for lithium and magnesium recovery from minerals and waste.

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.

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.