Search

Author/Creator Ziabari, Amirkoushyar

1. Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography*This manuscript has been authored by UT-Battelle, LLC, under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Issue 2 (14th April 2021)

Authors:
Venkatakrishnan, Singanallur; Ziabari, Amirkoushyar; Hinkle, Jacob; Needham, Andrew W; Warren, Jeffrey M; Bilheux, Hassina Z
Journal:
Machine learning: science and technology
Issue:
Volume 2:Issue 2(2021)
Page Start:
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗

2. Enhanced thermoelectric performance of P-type BixSb2−xTe3 nanowires with pulsed laser assisted electrochemical deposition. (December 2016)

Authors:
Jin, Shengyu; Ziabari, Amirkoushyar; Koh, Yee Rui; Saei, Mojib; Wang, Xiaoming; Deng, Biwei; Hu, Yaowu; Bahk, Je-Hyeong; Shakouri, Ali; Cheng, Gary J.
Journal:
Extreme mechanics letters
Issue:
Volume 9(2016)Part 3
Page Start:
386
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗