Results 41 to 50 of about 641,055 (339)

Geochemical and Petrographical Characteristics of the Madzaringwe Formation Coal, Mudrocks and Sandstones in the Vele Colliery, Limpopo Province, South Africa: Implications for Tectonic Setting, Provenance and Paleoweathering

open access: yesApplied Sciences, 2021
The sedimentary rocks of the Madzaringwe Formation in the Tuli Basin have been investigated using geochemical and petrographic methods to reveal their source area composition, tectonic setting, provenance and paleoweathering conditions.
Elelwani Denge, Christopher Baiyegunhi
doaj   +1 more source

Modeling the growth of stylolites in sedimentary rocks [PDF]

open access: yes, 2012
[1] Stylolites are ubiquitous pressure solution seams found in sedimentary rocks. Their morphology is shown to follow two self-affine regimes. Analyzing the scaling properties of their height over their average direction shows that (1) at small scale ...
Aharonov   +81 more
core   +4 more sources

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

open access: yesAdvanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana   +2 more
wiley   +1 more source

Localization features of pyrite-polymetallic ores of the Tushkanikhinskoye deposit (Rudny Altai)

open access: yesРуды и металлы, 2022
The Tushkanikhinskoye deposit is confined to the Devonian basalt-bearing rhyolite calcareous-siliceous-terrigenous formation, which is represented by sedimentary, volcano-sedimentary, sedimentary-volcanogenic, pyroclastic, volcanic rocks of felsic and ...
Tatiana V. Seravina   +4 more
doaj   +1 more source

U and Th content in the Central Apennines continental crust: a contribution to the determination of the geo-neutrinos flux at LNGS

open access: yes, 2011
The regional contribution to the geo-neutrino signal at Gran Sasso National Laboratory (LNGS) was determined based on a detailed geological, geochemical and geophysical study of the region.
A. Riva   +115 more
core   +1 more source

Tuning the Dielectric Properties of Individual Clay Nanosheets by Interlayer Composition: Toward Nano‐Electret Materials

open access: yesAdvanced Functional Materials, EarlyView.
The dielectric properties of clays are studied on the level of individual monolayers and functional double stacks. The material breakdown characteristics and charge storage performance are analyzed. For illustration, a defined charge pattern representing a cuneiform character is produced, written into a microscopic clay tile, referencing the origins of
Sebastian Gödrich   +6 more
wiley   +1 more source

REE characteristics and geological significance of mudstones from Wenchang Formation in eastern Yangjiang Sag of Pearl River Mouth Basin

open access: yes地质科技通报, 2022
The REE in sedimentary rocks have strange chemical stability and can well record the original sedimentary message.In order to explore the material source, tectonic setting and sedimentary environment of the Wenchang Formation in Eastern Yangjiang Sag ...
Chuang Shi
doaj   +1 more source

Provenance of sedimentary rocks [PDF]

open access: yes, 2009
Understanding the origins, or provenance, of a sedimentary deposit is an important aspect of geology. Sedimentary rocks are derived from the erosion of other rocks and thus provide important records of the geological environment at the time they were ...
Moloney, Paul   +3 more
core   +1 more source

Clay, Water, and Salt: Controls on the Permeability of Fine-Grained Sedimentary Rocks.

open access: yesAccounts of Chemical Research, 2017
The ability to predict the permeability of fine-grained soils, sediments, and sedimentary rocks is a fundamental challenge in the geosciences with potentially transformative implications in subsurface hydrology.
I. Bourg, J. Ajo-Franklin
semanticscholar   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced 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

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