Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (23)
- Computing and Computational Sciences Directorate (35)
- Energy Science and Technology Directorate
(217)
- Fusion and Fission Energy and Science Directorate
(21)
- Information Technology Services Directorate (2)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate (128)
- (-) User Facilities (27)
Researcher
- Ilias Belharouak
- Rama K Vasudevan
- Ryan Dehoff
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Alexey Serov
- Ali Abouimrane
- Costas Tsouris
- Jaswinder Sharma
- Jonathan Willocks
- Kashif Nawaz
- Marm Dixit
- Michael Kirka
- Ruhul Amin
- Stephen Jesse
- Vincent Paquit
- Xiang Lyu
- Adam Stevens
- Ahmed Hassen
- Alexander I Wiechert
- Alex Plotkowski
- Alice Perrin
- Amir K Ziabari
- Amit K Naskar
- Amit Shyam
- An-Ping Li
- Andres Marquez Rossy
- Andrew Lupini
- Anton Ievlev
- Arpan Biswas
- Benjamin Manard
- Ben LaRiviere
- Beth L Armstrong
- Blane Fillingim
- Bogdan Dryzhakov
- Brian Fricke
- Brian Post
- Charles F Weber
- Christopher Ledford
- Christopher Rouleau
- Clay Leach
- David L Wood III
- David Nuttall
- Debangshu Mukherjee
- Gabriel Veith
- Georgios Polyzos
- Gerd Duscher
- Govindarajan Muralidharan
- Gs Jung
- Gyoung Gug Jang
- Holly Humphrey
- Hongbin Sun
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Isaac Sikkema
- Ivan Vlassiouk
- James Haley
- James Szybist
- Jamieson Brechtl
- Jewook Park
- Joanna Mcfarlane
- Jong K Keum
- Joseph Olatt
- Junbin Choi
- Kai Li
- Khryslyn G Araño
- Kunal Mondal
- Kyle Gluesenkamp
- Liam Collins
- Logan Kearney
- Lu Yu
- Mahim Mathur
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Matt Vick
- Md Inzamam Ul Haque
- Meghan Lamm
- Michael Toomey
- Michelle Lehmann
- Mina Yoon
- Mingyan Li
- Nance Ericson
- Neus Domingo Marimon
- Nickolay Lavrik
- Nihal Kanbargi
- Ondrej Dyck
- Oscar Martinez
- Patxi Fernandez-Zelaia
- Paul Groth
- Peeyush Nandwana
- Philip Bingham
- Pradeep Ramuhalli
- Radu Custelcean
- Rangasayee Kannan
- Ritu Sahore
- Roger G Miller
- Rose Montgomery
- Saban Hus
- Sai Mani Prudhvi Valleti
- Sam Hollifield
- Sarah Graham
- Singanallur Venkatakrishnan
- Steven Randolph
- Sudarsanam Babu
- Sumner Harris
- Thomas R Muth
- Todd Toops
- Utkarsh Pratiush
- Vandana Rallabandi
- Venugopal K Varma
- Vipin Kumar
- Vlastimil Kunc
- William Peter
- Xiaobing Liu
- Yan-Ru Lin
- Yaocai Bai
- Ying Yang
- Yukinori Yamamoto
- Zhijia Du
- 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

High-gradient magnetic filtration (HGMF) is a non-destructive separation technique that captures magnetic constituents from a matrix containing other non-magnetic species. One characteristic that actinide metals share across much of the group is that they are magnetic.

An electrochemical cell has been specifically designed to maximize CO2 release from the seawater while also not changing the pH of the seawater before returning to the sea.

The ORNL invention addresses the challenge of poor mechanical properties of dry processed electrodes, improves their electrical properties, while improving their electrochemical performance.

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.

Hydrogen is in great demand, but production relies heavily on hydrocarbons utilization. This process contributes greenhouse gases release into the atmosphere.

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.

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