The availability of democratized computational power and rich advanced programming tools has led to the emergence of Scientific machine learning (SciML) which entangles and harnesses the rich knowledge and tools from traditional scientific computing and advanced machine learning. SciML has immensely improved the ability to solve and simulate mathematical models of complex problems in computational science and engineering. This fusion of scientific computing and machine learning synergistically propels progress. It leads to the creation of novel algorithms and network models characterized by scalability, computational efficiency, domain-specific insight, interpretability, and robustness. This interdisciplinary event serves as a collaborative platform, facilitating the exchange of insights between budding applied mathematicians and engineers. The event delves into the realms of deep learning for modeling and simulation, scientific computing, and the reciprocal influence of scientific computing within the domain of deep learning. Additionally, it fosters opportunities for the interchange of research concepts encompassing both theoretical and applied advancements in SciML and mathematical modeling computational techniques.

Website: https://www.srmist.edu.in/events/sci-ml-ncmta2024/