Results 51 to 60 of about 871,982 (402)
The Dale Oil Field, Caldwell County, Texas [PDF]
, 1930 Geological ...
Hancock, James Martin
core +1 more source
Advanced Functional Materials, EarlyView.A scalable biomimetic platform transforms bioinert poly(ethylene glycol) diacrylate into neuroinstructive matrices via integrating solvent transfer‐induced phase separation, microfluidics, and 3D bioprinting. Bicontinuous, hyperbolically curved microporous networks embedded within a fibrous construct elicit rapid adhesion, robust proliferation, and ...
Prince D. Okoro +8 more
wiley +1 more source
Overcoming challenges in the classification of deep geothermal potential [PDF]
, 2015 The geothermal community lacks a universal definition of deep geothermal systems. A minimum depth of 400 m is often assumed, with a further sub-classification into middle-deep geothermal systems for reservoirs found between 400 and 1000 m.
Breede, K. +2 more
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Advanced Functional Materials, EarlyView.A “liquid locking” strategy is proposed and implemented for scalable printing of crack‐free bassanite ceramic frameworks with interlocking microstructures to host ionic liquids as effective electrolytes for high‐temperature micro‐supercapacitors (HT‐MSCs).
Shiqian Chen +7 more
wiley +1 more source
Applied SciencesBased on drilling, core and seismic data, combined with the regional tectonic sedimentary evolution background, the sedimentary environment of the Triassic carbonate rocks in the Mangeshlak Basin was studied.
Fanyang Meng +4 more
doaj +1 more source
Description and Dynamic Analyses of the 1935 Luchedu Rock Avalanche in Sichuan, China
Geofluids, 2022 The Luchedu rock avalanche (LRA) that occurred in 1935 at the junction of Sichuan and Yunnan in Southwest China is a disaster chain of the rock slide, debris avalanche, and river blocking induced by heavy rainfall.
Jie Cui +3 more
doaj +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Clay minerals and sedimentary basin history [PDF]
, 2005 Clay minerals in the mud and soil that coat the Earth's surface are part of a clay cycle that breaks down and creates rock in the crust. Clays generated by surface weathering and shallow diagenetic processes are transformed into mature clay mineral ...
Merriman, Richard J.
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Advanced Functional Materials, EarlyView.Epitaxial piezoelectric α‐quartz/Si BioNEMS sensors, made using soft chemistry, effectively detect the Chikungunya virus. They have a mass sensitivity of 205 pg Hz−1 in liquid and can detect the virus at a limit of 9 ng mL−1. This development enables high‐frequency mass devices for point‐of‐care testing in healthcare and other electronic applications ...
Raissa Rathar +12 more
wiley +1 more source
Geologos, 2021 X-ray computed tomography (CT) can reveal internal, three-dimensional details of objects in a non-destructive way and provide high-resolution, quantitative data in the form of CT numbers.
Abutaha Saja M. +3 more
doaj +1 more source