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Wave Energy Prize 1/50th Testing Sea Potential DUO Point Absorber

This submission of data includes all the 1/50th scale testing data completed on the Wave Energy Prize for the Sea Potential team, and includes: 1/50th test data (raw & processed) 1/50th test data video and pictures 1/50th Test plans and testing documents SSTF_Submission (summa...
Scharmen, W. Ricardo Detroit Technical Center
Dec 04, 2015
8 Resources
0 Stars
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Catalyst Design in Nitrate Removal

Based on the volcano plot developed by Dr. Goldsmith group (Report linked in submission), we utilized DFT (density functional theory) calculations to search for bimetallic materials in the application of catalysts in aqueous nitrate removal. The calculations are conducted via the ...
Wang, D. and Jain, A. Lawrence Berkeley National Laboratory
Dec 01, 2021
7 Resources
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Marone, C. et al Pennsylvania State University
May 14, 2021
3 Resources
0 Stars
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Wave Energy Prize 1/20th Testing Sea Potential DUO Point Absorber

Data from the 1/20th scale testing data completed on the Wave Energy Prize for the Sea Potential team, including the 1/20th scale test plan, raw test data, video, photos, and data analysis results. The top level objective of the 1/20th scale device testing is to obtain the necess...
Scharmen, W. Ricardo Detroit Technical Center
Sep 23, 2016
48 Resources
0 Stars
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