11-11-11-11-11-11-11-11-11-11-11-11 From: Gianmarco Buono <gianmarco.buono@xxxxxxx> Dear colleagues, We would like to invite you to submit an abstract to the following EGU2025 session: *GMPV7.5 "Advances in nano- to micro-analytical tools and cutting-edge technologies: Unlocking Earth Science and Igneous Petrologyâ??* Convener: Lucia Pappalardo, Gianmarco Buono, Lucia Mancini The abstract* submission deadline is 15 January 2025, 13:00 CET*. Please click here for more information and abstract submission: https://meetingorganizer.copernicus.org/EGU25/session/54262 <https://urldefense.com/v3/__https://meetingorganizer.copernicus.org/EGU25/session/54262__;!!IKRxdwAv5BmarQ!aKBp2M5o8XJv0ADzW72CjJavZD173ENEfFPqnxkJN4Bq60wDJlwl-O6r2nz-8dxsbVdUitlUUggUO8uIuSFzOookIQ$> We look forward to seeing you in Vienna! Lucia Pappalardo (Istituto Nazionale di Geofisica e Vulcanologia) Gianmarco Buono (Istituto Nazionale di Geofisica e Vulcanologia) Lucia Mancini (Slovenian National Building and Civil Engineering Institute) Session Outline: Significant breakthroughs in modern Earth Science research are closely tied to innovations in observational, analytical, and modeling methods. Over the past two decades, substantial progress has been made in microbeam analytical techniques, now widely employed across various disciplines within Earth Sciences. These advancements in micro-scale observation and analysis have greatly deepened our understanding of Earth's history and its complex geological processes. Recent rapid developments in chemical microanalysis, non-destructive imaging technology and the application of advanced petrological tools, such as thermodynamic calculators, have revitalized igneous petrology, placing it at the forefront of geological research once again. Additionally, the use of innovative experimental apparatus allows for controlled simulation of geological conditions, further enhancing our capacity to study igneous processes. Emerging AI methods, including machine learning and deep learning-based geobarometry, image segmentation, and classification, are proving invaluable for automating and refining data interpretation in volcano-magmatic dynamics. Furthermore, advanced modeling and statistical approaches are reshaping our ability to predict and model volcanic and magmatic processes with higher precision. We invite contributions that emphasize original research, new protocols, and technical innovations, especially those that integrate multiple techniques, interdisciplinary approaches, and cutting-edge modeling or experimental methods. 11-11-11-11-11-11-11-11-11-11-11-11 ============================================================== Volcano Listserv is a collaborative venture among Arizona State University (ASU), Portland State University (PSU), the Global Volcanism Program (GVP) of the Smithsonian Institution's National Museum of Natural History, and the International Association for Volcanology and Chemistry of the Earth's Interior (IAVCEI). ASU - http://www.asu.edu/ PSU - http://pdx.edu/ GVP - https://volcano.si.edu/ IAVCEI - https://www.iavceivolcano.org/ To subscribe to the volcano list, send the message: subscribe volcano to: listserv@xxxxxxx, or write to: volcano-request@xxxxxxx To unsubscribe from the volcano list, send the message: signoff volcano to: listserv@xxxxxxx, or write to: volcano-request@xxxxxxx. To contribute to the volcano list, send your message to: volcano@xxxxxxx. Please do not send attachments. ============================================================== ------------------------------ End of Volcano Digest - 20 Nov 2024 to 25 Nov 2024 (#2024-103) **************************************************************
