Results 31 to 40 of about 13,576 (317)
Yankuang ceshi, 2016 Intermediate-felsic volcanic rock has porphyritic texture and the matrix is characterized by microlitic, cryptocrystalline and vitreous textures. There will be errors when identifying and classifying the rocks using only a polarizing microscope because ...
XU Cui +5 more
doaj +1 more source
Solving petrological problems through machine learning: the study case of tectonic discrimination using geochemical and isotopic data [PDF]
Contributions to Mineralogy and Petrology - Volume 171, Issue 10,
1 October 2016, Article number 81, 2017 Machine learning methods are evaluated to study the intriguing and debated topic of discrimination among different tectonic environments using geochemical and isotopic data. Volcanic rocks characterized by a whole geochemical signature of major elements (SiO2, TiO2, Al2O3, Fe2O3T, CaO, MgO, Na2O, K2O), selected trace elements (Sr, Ba, Rb, Zr, Nb, La ...
arxiv +1 more source
Elucidation and modulation of active sites in holey graphene electrocatalysts for H2O2 production
EcoMat, Volume 5, Issue 1, January 2023., 2023 Functionalized hoely graphene possesses abundant inplane holes of which edges are decorated with ether/carbonyl groups. These functionalized hole edges are proved to be the most active site for 2e− ORR with nearly zero overpotential by density functional theory calculations.
Ki Hwan Koh +6 more
wiley +1 more source
Simulated Annealing for Volcano Muography [PDF]
, 2020 Muography or muon radiography is a non-invasive emerging image technology relying on high energy atmospheric muons, which complements other standard geophysical tools to understand the Earth's subsurface. This work discusses a geophysical inversion methodology for volcanic muography, based on the Simulated Annealing algorithm, using a semi-empirical ...
arxiv +1 more source
Earth Surface Processes and Landforms, Volume 48, Issue 1, Page 215-229, January 2023., 2023 This paper uses a numerical landscape evolution model to reconstruct the topographic history of Madagascar since the Late Cretaceous. The model is optimised by balancing the volumes of onshore erosion and offshore sedimentation; the former is predicted with erosion laws and based on uplift history inferred from elevated planation surfaces.
Ruohong Jiao +4 more
wiley +1 more source
PETROGRAPHIC AND GEOCHEMICAL CONSTRAINTS ON TECTONIC SETTINGS OF THE BIRIMIAN SUPERGROUP VOLCANIC ROCKS, EVIDENCE FROM NEW DROBO ENVIRONS SOUTH OF JAMAN DISTRICT IN THE BONO REGION OF GHANA [PDF]
Malaysian Journal of Geosciences, 2022 The petrographic and geochemical studies of Birimian Supergroup meta-volcanic rocks in the New Drobo environs in Ghana help to decipher the tectonic settings at the study area.
Matthew Coffie Wilson +2 more
doaj +1 more source
The Transport of Extrusive Volcanic Deposits on Jezero Crater Through Paleofluvial Processes [PDF]
Journal of the Washington Academy of Sciences, Volume 108, Summer
2022, 2022 Jezero, an impact crater in the Syrtis Major quadrangle of Mars, is generally thought to have amassed a large body of liquid water in its ancient past. NASA spectra of the proposed paleolake interpret the youngest surface unit as olivine-bearing minerals crystallized from magma.
arxiv
Nature, 1967 Tufflavas and Ignimbrites A Survey of Soviet Studies. Edited by Earl F. Cook. Translated from the Russian by Miriam Carty. Pp. xii + 212. (New York: American Elsevier Publishing Company, Inc.; London: Elsevier Publishing Company, Ltd., 1966.) 60s.
openaire +1 more source
Machine Learning in Discriminating Active Volcanoes of the Hellenic Volcanic Arc
Applied Sciences, 2021 Identifying the provenance of volcanic rocks can be essential for improving geological maps in the field of geology and providing a tool for the geochemical fingerprinting of ancient artifacts like millstones and anchors in the field of geoarchaeology ...
Athanasios G. Ouzounis +1 more
doaj +1 more source
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning [PDF]
2020 IEEE/RSJ International Conference on Intelligent Robots and
Systems (IROS), 2019 We present a pipeline for geomorphological analysis that uses structure from motion (SfM) and deep learning on close-range aerial imagery to estimate spatial distributions of rock traits (size, roundness, and orientation) along a tectonic fault scarp.
arxiv +1 more source