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Post-fire soil physical and chemical properties, temperate and mediterranean ...
This dataset comprises detailed measurements of soil physical and chemical properties from Mediterranean woodlands (La Campana) and humid temperate forests (Nahuelbuta) in... -
Quality-controlled XRF data for low resolution (primary) scans from IODP Site...
We present quality-controlled XRF scanning data for marine sediment cores from IODP Expedition 403 Eastern Fram Strait Paleoarchive, Bellsund Drift Site U1623 (76°31.8594′N,... -
Quality-controlled XRF data for low resolution (alternate) scans from IODP Si...
We present quality-controlled XRF scanning data for marine sediment cores from IODP Expedition 403 Eastern Fram Strait Paleoarchive, Bellsund Drift Site U1623 (76°31.8594′N,... -
Quality-controlled XRF data for high resolution scans from IODP Site 403-U1623
We present quality-controlled XRF scanning data for marine sediment cores from IODP Expedition 403 Eastern Fram Strait Paleoarchive, Bellsund Drift Site U1623 (76°31.8594′N,... -
Quality-controlled XRF data for low resolution scans from IODP Site 403-U1621
We present quality-controlled XRF scanning data and element correlation values for marine sediment cores from IODP Expedition 403 Eastern Fram Strait Paleoarchive, Bellsund... -
Quality-controlled XRF data for high resolution scans from IODP Site 403-U1621
We present quality-controlled XRF scanning data and element correlation values for marine sediment cores from IODP Expedition 403 Eastern Fram Strait Paleoarchive, Bellsund... -
Quality controlled data for the low-resolution scans of IODP Site 403-U1618
Here we present the X-ray fluorescence (XRF) scanned intervals from sediment cores from Vestnesa Ridge, eastern Fram Strait in the Arctic. The cores were retrieved from site... -
Quality controlled data for the high-resolution scans of IODP Site 403-U1618
Here we present the X-ray fluorescence (XRF) scanned intervals from sediment cores from Vestnesa Ridge, eastern Fram Strait in the Arctic. The cores were retrieved from site... -
Synchrotron X-ray video of full-penetration laser welding of aluminum AA1050A
The video shows a synchrotron x-ray video of full-penetration laser welding of the aluminum alloy AA1050A (Al99.5). At the beginning of the video the transition from partial... -
Machine learning for metallurgy: a neural network potential for Al-Mg-Si
High-strength metal alloys achieve their performance via careful control of the nucleation, growth, and kinetics of precipitation. Alloy mechanical properties are then... -
Machine learning for metallurgy: a neural network potential for Al-Cu-Mg
High-strength metal alloys achieve their performance via careful control of precipitates and solutes. The nucleation, growth, and kinetics of precipitation, and the resulting... -
Machine learning for metallurgy: neural network potentials for Al-Cu-Mg and A...
Most metallurgical properties, e.g., dislocation propagation, precipitate formation, can only be fully understood atomistically but most phenomena and quantities of interest... -
Machine learning for metallurgy: a neural network potential for Al-Cu
High-strength metal alloys achieve their performance via careful control of precipitates and solutes. The nucleation, growth, and kinetics of precipitation, and the resulting... -
Machine learning for metallurgy: a neural network potential for Al-Cu
High-strength metal alloys achieve their performance via careful control of precipitates and solutes. The nucleation, growth, and kinetics of precipitation, and the resulting... -
Machine learning for metallurgy: a neural network potential for Al-Cu
High-strength metal alloys achieve their performance via careful control of precipitates and solutes. The nucleation, growth, and kinetics of precipitation, and the resulting... -
Aluminum alloy compositions and properties extracted from a corpus of scienti...
Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help... -
Aluminum alloy compositions and properties extracted from a corpus of scienti...
Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help... -
Aluminum alloy compositions and properties extracted from a corpus of scienti...
Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help... -
Quantum-accelerated supercomputing atomistic simulations for corrosion inhibi...
This dataset supports a systematic implementation of hybrid quantum-classical computational methods for investigating corrosion inhibition mechanisms on aluminum surfaces. The... -
Modeling peak-aged precipitate strengthening in Al-Mg-Si alloys
Strengthening by needle-shaped β′′ precipitates is critical in Al–Mg–Si alloys. Here, the strengthening is studied computationally at the peak-aged condition where precipitate...
