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Recovery of Rare Earths, Precious Metals and Other Critical Materials from Geothermal Waters with Advanced Sorbent Structures
The work evaluates, develops and demonstrates flexible, scalable mineral extraction technology for geothermal brines based upon solid phase sorbent materials with a specific focus upon rare earth elements (REEs). The selected organic and inorganic sorbent materials demonstrated h...
Addleman, R. et al Pacific Northwest National Laboratory
Sep 30, 2015
2 Resources
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2 Resources
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Advanced Sorbent Structure Recovery of REEs, Precious Metals and Other Valuable Metals from Geothermal Waters and Its Associated Technoeconomics
This work evaluates, develops and demonstrates flexible, scalable mineral extraction technology for geothermal brines based upon solid phase sorbent materials with a specific focus upon rare earth elements (REEs). The selected organic and inorganic sorbent materials demonstrated h...
Addleman, S. et al Pacific Northwest National Laboratory
May 25, 2017
3 Resources
0 Stars
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3 Resources
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Advanced Sorbent Structure Recovery of Rare Earths, Precious Metals and Other Critical Materials from Geothermal Waters and Its Associated Technoeconomics
The work evaluates, develops and demonstrates flexible, scalable mineral extraction technology for geothermal brines based upon solid phase sorbent materials with a specific focus upon rare earth elements (REEs). The selected organic and inorganic sorbent materials (silica and MOF...
Addleman, R. et al Pacific Northwest National Laboratory
Sep 21, 2016
1 Resources
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1 Resources
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Core-Shell REE Sorbent Extraction Data
Solution chemical analysis data for magnetic core shell sorbent materials. Deionized water and brine solutions were spiked with five rare earth elements and the solutions analyzed after approximately 5 minutes exposure to the sorbent particles.
Thallapally, P. Pacific Northwest National Laboratory
Apr 27, 2017
1 Resources
0 Stars
Publicly accessible
1 Resources
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Numerical Modeling for Hydraulic Fracture Prediction
Numerical modeling on fused silica cylindrical materials for predicting overpressures required to fracture an homogeneous pure (surrogate) material with known mechanical properties similar to igneous rock materials and later compare these values to experimental overpressures obtai...
Gupta, V. Pacific Northwest National Laboratory
Apr 26, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
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Lab-Scale Stimulation Results on Surrogate Fused Silica Samples
Lab-scale stimulation work on non-porous fused silica (similar mechanical properties to igneous rock) was performed using pure water, pure CO2 and water/CO2 mixtures to compare back to back fracturing performance of these fluids with PNNL's StimuFrac.
Fernandez, C. Pacific Northwest National Laboratory
Jul 06, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
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Self-Healing and Re-Adhering Polymer-Cements with Improved Toughness
Polymer-cement experiments were conducted in order to assess the chemical and thermal properties of various polymer-cement composites. This file set includes the following polymer-cement analyses:
Polymer-Cement Composite Synthesis
Polymer-Cement Interactions by Atomistic Simulat...
Fernandez, C. Pacific Northwest National Laboratory
Nov 11, 2015
10 Resources
0 Stars
Publicly accessible
10 Resources
0 Stars
Publicly accessible
ARPA-E Grid Optimization (GO) Competition Challenge 1
The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...
Elbert, S. et al Pacific Northwest National Laboratory
Aug 05, 2024
29 Resources
0 Stars
Curated
29 Resources
0 Stars
Curated
ARPA-E Grid Optimization (GO) Competition Challenge 3
Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public.
The Grid Optimizat...
Elbert, S. et al Pacific Northwest National Laboratory
May 02, 2024
39 Resources
1 Stars
Curated
39 Resources
1 Stars
Curated