The theme of our career event this month is “Generative Artificial Intelligence and Our Profession” and within the scope of the theme, a seminar titled “Using Artificial Neural Networks in Solving Differential Equations” will be given by Dr. Cem ÇELİK in our department. The seminar is open to everyone who is interested.
Speaker: Dr. Cem ÇELİK (DEU, Department of Mathematics)
Title: Using Artificial Neural Networks in Solving Differential Equations
Date and Time: 19.03.2025 (Wednesday), 12:00
Place: B256 (DEU Faculty of Science Department of Mathematics Block B 2nd floor)
Abstract: The intersection of scientific computing and machine learning has given rise to a paradigm known as Scientific Machine Learning (SciML). This talk will explore the principles of SciML, with a particular focus on Physics-Informed Neural Networks (PINNs), a novel approach that integrates the principles of physics with machine learning techniques to solve complex scientific and engineering problems. By embedding physical laws directly into the neural network architecture, PINNs enable the modeling of systems governed by partial differential equations (PDEs) while leveraging the strengths of data-driven methods. This presentation will cover the foundational concepts of PINNs through practical examples, and participants will gain insights into the potential of PINNs to revolutionize problem-solving.
