Corin Jorgenson
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View article: The crystal cargo provides a chronicle of pre-caldera dynamics in mafic volcanic systems: insights from Colli Albani
The crystal cargo provides a chronicle of pre-caldera dynamics in mafic volcanic systems: insights from Colli Albani Open
Understanding the processes leading up to caldera-forming eruptions is essential for identifying precursory signals of catastrophic events. While these phenomena have been extensively studied in silicic systems, mafic volcanoes present uni…
View article: A Myriad of Melt Inclusions: A 3D Analysis of Melt Inclusions Reveals the Gas-Rich Magma Reservoir of Colli Albani Volcano (Italy)
A Myriad of Melt Inclusions: A 3D Analysis of Melt Inclusions Reveals the Gas-Rich Magma Reservoir of Colli Albani Volcano (Italy) Open
Melt inclusions are small parcels of magma trapped in crystals, which hold key information about pre-eruptive magmatic conditions, including volatile content and melt chemistry. We focus here on melt inclusions for a nuanced view of the ma…
View article: Towards practical artificial intelligence in Earth sciences
Towards practical artificial intelligence in Earth sciences Open
Although Artificial Intelligence (AI) projects are common and desired by many institutions and research teams, there are still relatively few success stories of AI in practical use for the Earth science community. Many AI practitioners in …
View article: A myriad of melt inclusions: a 3D view into the volcanic time capsules of Colli Albani Volcano (Italy)
A myriad of melt inclusions: a 3D view into the volcanic time capsules of Colli Albani Volcano (Italy) Open
Melt inclusions are small parcels of magma trapped in crystals, which hold key information about pre-eruptive magmatic conditions including volatile content and melt chemistry. We focus here on melt inclusions for a nuanced view of the mag…
View article: The mildly explosive to caldera-forming transition at Colli Albani volcano 
The mildly explosive to caldera-forming transition at Colli Albani volcano  Open
The effusive-explosive transition in mafic systems is a complex and still largely debated phenomenon in volcanology. Understanding this transition is crucial for hazard assessment and risk mitigation since explosive eruptions can pose sign…
View article: Rapid accumulation and ascent precedes caldera forming eruption of low viscosity magma
Rapid accumulation and ascent precedes caldera forming eruption of low viscosity magma Open
Mafic magma is commonly associated with effusive eruptions, however several mafic volcanoes throughout the globe have produced explosive eruptions. Here we present one such volcano – Colli Albani. Colli Albani is 20 km SE of Rome and produ…
View article: Machine Learning Thermo-Chemo-Barometry: Can we rely on AI models? Repository
Machine Learning Thermo-Chemo-Barometry: Can we rely on AI models? Repository Open
Clinopyroxene Clinopyroxene Thermo-Chemo-Barometry models submitted to Computers & Geosciences journal This is the Ágreda-López et al (2023) clinopyroxene Thermo-Chemo-Barometers. The general workflow goes like this: 1. you will find five …
View article: Texturally constrained machine learning thermobarometry and chemometry of the Cumbre Vieja 2021 eruption, La Palma
Texturally constrained machine learning thermobarometry and chemometry of the Cumbre Vieja 2021 eruption, La Palma Open
<p>Magma has a dynamic and often-complex journey from source to surface, the record of which is largely encoded in the chemistry of minerals. Its storage conditions prior to eruption and modifications during ascent can influence erup…
View article: A Machine Learning‐Based Approach to Clinopyroxene Thermobarometry: Model Optimization and Distribution for Use in Earth Sciences
A Machine Learning‐Based Approach to Clinopyroxene Thermobarometry: Model Optimization and Distribution for Use in Earth Sciences Open
Thermobarometry is a fundamental tool to quantitatively interrogate magma plumbing systems and broaden our appreciation of volcanic processes. Developments in random forest‐based machine learning lend themselves to a data‐driven approach t…
View article: A machine learning based approach to clinopyroxene thermobarometry: model optimisation and distribution for use in Earth Sciences
A machine learning based approach to clinopyroxene thermobarometry: model optimisation and distribution for use in Earth Sciences Open
Thermobarometry is a fundamental tool to quantitatively interrogate magma plumbing systems and broaden our appreciation of volcanic processes. Developments in random forest-based machine learning lend themselves to a more data-driven appro…
View article: A machine learning based approach to clinopyroxene thermobarometry: model optimisation and distribution for use in Earth Sciences
A machine learning based approach to clinopyroxene thermobarometry: model optimisation and distribution for use in Earth Sciences Open
Thermobarometry is a fundamental tool to quantitatively interrogate magma plumbing systems and broaden our appreciation of volcanic processes. Developments in random forest-based machine learning lend themselves to a more data-driven appro…
View article: A myriad of melt inclusions: a synchrotron microtomography study of melt inclusions and vapour bubbles from Colli Albani (Italy)
A myriad of melt inclusions: a synchrotron microtomography study of melt inclusions and vapour bubbles from Colli Albani (Italy) Open
<p>Melt inclusions provide a window into the inner workings of magmatic systems. Both mineral chemistry and volatile distributions within melt inclusions can provide valuable information about the processes modulating magma ascent an…