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Techno-Economic Assessment for Integrating Biosorption into Rare Earth Recovery Process
The current uncertainty in the global supply of rare earth elements (REEs) necessitates the development of novel extraction technologies that utilize a variety of REE source materials. Herein, we examined the techno-economic performance of integrating a biosorption approach into ...
Jiao, Y. et al Lawrence Livermore National Laboratory
Jul 01, 2017
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Brady Geothermal 1D Seismic Velocity Model
This submission contains an ASCII text file of seismic velocities derived from ambient noise cross-correlation used to create a model of seismic velocity as a 1-D function of depth in addition to a quarterly report describing the creation and use of the model. Model uses 28 Green'...
Matzel, E. Lawrence Livermore National Laboratory
Feb 17, 2015
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2 Resources
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Brady 1D Seismic Velocity Model Ambient Noise Prelim
Preliminary 1D seismic velocity model derived from ambient noise correlation. 28 Green's functions filtered between 4-10 Hz for Vp, Vs, and Qs were calculated. 1D model estimated for each path. The final model is a median of the individual models. Resolution is best for the top 1 ...
J., R. Lawrence Livermore National Laboratory
Oct 25, 2013
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Techno-Economic Assessment for Integrating Biosorption into Rare Earth Recovery Process
The current uncertainty in the global supply of rare earth elements (REEs) necessitates the development of novel extraction technologies that utilize a variety of REE source materials. Herein, we examined the techno-economic performance of integrating a biosorption approach into a...
Jiao, Y. et al Lawrence Livermore National Laboratory
Oct 09, 2017
1 Resources
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1 Resources
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Newberry EGS Seismic Velocity Model
We use ambient noise correlation (ANC) to create a detailed image of the subsurface seismic velocity at the Newberry EGS site down to 5 km. We collected continuous data for the 22 stations in the Newberry network, together with 12 additional stations from the nearby CC, UO and UW ...
Templeton, D. Lawrence Livermore National Laboratory
Oct 01, 2013
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