10.4231/HK40-XM43
Amal El Arrach , Arno Trautmann , Chris H Greene , Francesca Ferlaino , Francis Robicheaux , Hagai Edri , Julian Maloberti , Manfred Mark , Philipp Ilzhofer
08/25/2021
Inside the two folders, MQDT_ns and MQDT_nd, are the data from the calculations used in Phys. Rev. Res. 3, 033165 (2021) with FILE_INFO.txt describing how to use the data.
10.4231/HHNZ-SP39
Deepak Suresh , Francis Robicheaux
08/30/2021
Data used in the figures of Phys. Rev. A 103, 043722 (2021) with short information in FILE_INFO.txt. Also contains .eps files and gnuplot routines.
atom recoil atomic ensemble collective interaction Light-matter interaction photon Physics Spontaneous emission
10.4231/V9S4-HE96
Francis . Robicheaux , R. A. Gustafson
10/04/2021
Data used in the figures of article in Journal of Physics B (2021) with short information in FILE_INFO.txt. Also contains .eps files and gnuplot routines.
10.4231/CAFS-9A27
11/16/2021
Data used in the figures of Phys. Rev. A 104, 063706 (2021) with short information in FILE_INFO.txt. Also contains .eps files and gnuplot routines.
10.4231/DXGB-KW29
David D. Nolte , Laura J Pyrak-Nolte
01/19/2022
Acoustic waves from uncontrolled moving and stationary sources propagated through a set of fractures.
Acoustic Emissions and Fractures Chattering Dust Fractures Machine Learning and Geophysical Signals Physics Twin Neural Network Wave Propagation in Fractured Media
10.4231/GCZ1-VR87
Jukka Vayrynen , Justin Matthew Copenhaver
03/25/2022
Code to simulate spin transport in disordered WTe2 systems.
10.4231/0YAM-9T87
Arezoo Ardekani , Javad Eshraghi , Pavlos Vlachos
04/13/2021
Here, we present a novel state-observer data-assimilation technique designed to fuse time-resolved cavitation bubble diameter measurements with a governing model to yield enhanced Spatio-temporal prediction of the cavitation bubble dynamics.
Cavitation Data assimilation Experimental Tests Fluid Mechanics image processing Mechanical Engineering Physics PID controller
10.4231/966Q-6F95
Alexandre Zimmers , Dmitri Basov , Erica Carlson , Forrest Simmons , Ivan K. Schuller , Lionel Aigouy , Lukasz Burzawa , Melissa Alzate Banguero , Mumtaz Qazilbash , Pavel Salev , Sayan Basak
04/07/2023
Codes used in "Deep Learning Hamiltonians form Disordered Image Data in Quantum Materials" https://arxiv.org/abs/2211.01490 and the resulting visualizations.
Clustering Machine Learning Physics quantum materials Scientific visualization symmetry Vanadium dioxide VO2
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