Scientific advancement revolutionizes the prevention of volcanic disasters

An unprecedented scientific breakthrough has been announced by the Ckelar Volcanoes Millennium Institute, revolutionizing the way natural disaster prevention related to volcanic eruptions is approached. Thanks to the application of artificial intelligence, specifically Physics-Informed Neural Networks (PINNs), an innovative method has been developed to determine the most dangerous zones around a volcano, allowing for greater accuracy in predicting and mitigating the risks associated with these geological phenomena. In a world where over 90 volcanoes are active, especially in countries like Chile, the threat of volcanic eruptions and the dangers they pose, such as lava flows, volcanic ash, lahars, and pyroclastic flows, represent a constant challenge to the safety and well-being of communities near these natural giants. The application of physical equations, known as partial differential equations, which describe the behavior of these hazards, along with artificial intelligence, has proven to be an invaluable tool in risk identification and assessment. Ph.D. in Physics and postdoctoral researcher Yuvineza Gómez is one of the minds behind this innovative approach that is revolutionizing the way volcanic risks are studied and prevented. Through Physics-Informed Neural Networks, machine learning is combined with underlying physical principles, allowing for a more precise and detailed interpretation of available information, even in situations where data is limited or difficult to obtain. PINNs stand out for their ability to effectively work with a reduced amount of data, making them an invaluable tool in the field of volcanology, where the availability of accurate information can make the difference between life and death. A concrete example of the utility of this technology is the prediction of the formation and thickness of lahars, mudflows, and volcanic materials, which represent one of the most destructive and difficult-to-anticipate hazards. Thanks to the combination of artificial intelligence and physical principles, scientists can constantly update volcanic hazard maps, providing authorities and communities with vital information for planning and responding to a volcanic emergency. These maps detail risk zones, evacuation routes, and safe areas, which are crucial for strengthening the resilience of at-risk populations and reducing the negative impacts of an eruption. The ability to predict and mitigate volcanic hazards with unprecedented accuracy represents a significant advancement in protecting communities vulnerable to volcanic activity. By providing authorities and populations with precise and timely data, informed decision-making is facilitated, and preventive measures can be implemented that can save lives and reduce material damages in the event of an eruption. In conclusion, the use of artificial intelligence, combined with Physics-Informed Neural Networks, represents a milestone in the research and prevention of natural disasters, opening new possibilities for understanding and anticipating the hazards associated with volcanoes with unprecedented precision and effectiveness. This breakthrough not only drives science and technology forward but also contributes to strengthening the safety and resilience of communities exposed to volcanic activity worldwide.