BOOM! Tephrochronological dataset and exploration tool of the Southern (33–46° S) and Austral (49–55° S) volcanic zones of the Andes
CM Fontaine, V Peña-Araya, C Marmo… - Quaternary Science …, 2023 - Elsevier
Tephrochronology studies the deposits of explosive volcanic eruptions in the stratigraphic
record. The Southern (SVZ, 33–46° S) and Austral (AVZ, 49–55° S) Volcanic Zones of the …
record. The Southern (SVZ, 33–46° S) and Austral (AVZ, 49–55° S) Volcanic Zones of the …
Machine learning in volcanology: a review
A volcano is a complex system, and the characterization of its state at any given time is not
an easy task. Monitoring data can be used to estimate the probability of an unrest and/or an …
an easy task. Monitoring data can be used to estimate the probability of an unrest and/or an …
Machine learning thermo‐barometry: Application to clinopyroxene‐bearing magmas
We introduce a new approach, based on machine learning, to estimate pre‐eruptive
temperatures and storage depths using clinopyroxene‐melt pairs and clinopyroxene‐only …
temperatures and storage depths using clinopyroxene‐melt pairs and clinopyroxene‐only …
Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier
J Schönig, H von Eynatten… - … to Mineralogy and …, 2021 - Springer
The major-element chemical composition of garnet provides valuable petrogenetic
information, particularly in metamorphic rocks. When facing detrital garnet, information about …
information, particularly in metamorphic rocks. When facing detrital garnet, information about …
Performance of predictive supervised classification models of trace elements in magnetite for mineral exploration
É Bédard, VDB de Vazelhes, G Beaudoin - Journal of Geochemical …, 2022 - Elsevier
Magnetite is a reliable indicator mineral for exploration because it records petrogenetic
processes and discriminate deposit types. Binary discriminant diagrams have limits to …
processes and discriminate deposit types. Binary discriminant diagrams have limits to …
Probabilistic source classification of large tephra producing eruptions using supervised machine learning: An example from the Alaska‐Aleutian arc
Alaska contains over 130 volcanoes and volcanic fields that have been active within the last
2 million years. Of these, roughly 90 have erupted during the Holocene, with many …
2 million years. Of these, roughly 90 have erupted during the Holocene, with many …
TephraNZ: a major and trace element reference dataset for prominent Quaternary rhyolitic tephras in New Zealand and implications for correlation
JL Hopkins, JE Bidmead, DJ Lowe… - Geochronology …, 2020 - gchron.copernicus.org
Although analyses of tephra-derived glass shards have been undertaken in New Zealand
for nearly four decades (pioneered by Paul Froggatt), our study is the first to systematically …
for nearly four decades (pioneered by Paul Froggatt), our study is the first to systematically …
[HTML][HTML] A latest Pleistocene and Holocene composite tephrostratigraphic framework for northeastern North America
BJL Jensen, LJ Davies, C Nolan… - Quaternary Science …, 2021 - Elsevier
Lakes and bogs in northeastern North America preserve tephra deposits sourced from
multiple volcanic systems in the Northern Hemisphere. However, most studies of these …
multiple volcanic systems in the Northern Hemisphere. However, most studies of these …
Geochemistry π: automated machine learning Python framework for tabular data
J ZhangZhou, C He, J Sun, J Zhao… - Geochemistry …, 2024 - Wiley Online Library
Although machine learning (ML) has brought new insights into geochemistry research, its
implementation is laborious and time‐consuming. Here, we announce Geochemistry π, an …
implementation is laborious and time‐consuming. Here, we announce Geochemistry π, an …
An automatic sediment-facies classification approach using machine learning and feature engineering
The delineation of sediment facies provides essential background information for a broad
range of investigations in geosciences but is often constrained in quality or quantity. Here …
range of investigations in geosciences but is often constrained in quality or quantity. Here …