The ๐ฒ๐
๐๐ฒ๐ป๐ฑ๐ฒ๐ฑ ๐ฎ๐ฏ๐๐๐ฟ๐ฎ๐ฐ๐ ๐๐๐ฏ๐บ๐ถ๐๐๐ถ๐ผ๐ป ๐ฑ๐ฒ๐ฎ๐ฑ๐น๐ถ๐ป๐ฒ ๐ถ๐ ๐ฎ๐ฝ๐ฝ๐ฟ๐ผ๐ฎ๐ฐ๐ต๐ถ๐ป๐ด!
We are pleased to invite researchers to contribute to our symposium at ๐๐๐ก๐๐๐ ๐ฎ๐ฌ๐ฎ๐ฒ (๐ญ๐ฑโ๐ฎ๐ญ ๐ฆ๐ฒ๐ฝ๐๐ฒ๐บ๐ฏ๐ฒ๐ฟ ๐ฎ๐ฌ๐ฎ๐ฒ, ๐๐ฒ๐ฟ๐ฎ๐ธ๐น๐ถ๐ผ๐ป, ๐๐ฟ๐ฒ๐ฒ๐ฐ๐ฒ):
๐ฃ๐ต๐๐๐ถ๐ฐ๐-๐๐ป๐ณ๐ผ๐ฟ๐บ๐ฒ๐ฑ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ ๐ก๐๐บ๐ฒ๐ฟ๐ถ๐ฐ๐ฎ๐น ๐๐ป๐ฎ๐น๐๐๐ถ๐ ๐ผ๐ณ ๐ ๐ฒ๐ฐ๐ต๐ฎ๐ป๐ถ๐ฐ๐ฎ๐น ๐ฎ๐ป๐ฑ ๐ ๐๐น๐๐ถ๐ฝ๐ต๐๐๐ถ๐ฐ๐ ๐ฆ๐๐๐๐ฒ๐บ๐
This symposium aims to bring together researchers working at the intersection of ๐๐ฐ๐ถ๐ฒ๐ป๐๐ถ๐ณ๐ถ๐ฐ ๐บ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด and ๐ฐ๐ผ๐บ๐ฝ๐๐๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐บ๐ฒ๐ฐ๐ต๐ฎ๐ป๐ถ๐ฐ๐, with particular emphasis on the development and application of data-driven methods for solving engineering and multiphysics problems.
We welcome contributions on topics including:
๐น Physics-Informed Neural Networks (PINNs)
๐น Neural Operators and Operator Learning
๐น Scientific Machine Learning for Engineering
๐น Computational Mechanics and Numerical Methods
๐น Multiphysics Modeling and Simulation
๐น AI-Accelerated Scientific Computing
We particularly encourage submissions that investigate the numerical foundations of these approaches, including accuracy, convergence, stability, benchmarking, uncertainty quantification, and comparisons with conventional computational methods such as finite element, finite volume, and spectral methods.
๐
๐๐บ๐ฝ๐ผ๐ฟ๐๐ฎ๐ป๐ ๐๐ฎ๐๐ฒ๐
๐ ๐๐
๐๐ฒ๐ป๐ฑ๐ฒ๐ฑ ๐๐ฏ๐๐๐ฟ๐ฎ๐ฐ๐ ๐ฆ๐๐ฏ๐บ๐ถ๐๐๐ถ๐ผ๐ป: ๐ฌ๐ฐ ๐๐๐ด๐๐๐ ๐ฎ๐ฌ๐ฎ๐ฒ
๐ฉ ๐ก๐ผ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ผ๐ณ ๐๐ฐ๐ฐ๐ฒ๐ฝ๐๐ฎ๐ป๐ฐ๐ฒ: ๐ฌ๐ด ๐๐๐ด๐๐๐ ๐ฎ๐ฌ๐ฎ๐ฒ
โณ ๐๐ฎ๐๐ฒ ๐ฅ๐ฒ๐ด๐ถ๐๐๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐๐ฒ๐ฎ๐ฑ๐น๐ถ๐ป๐ฒ: ๐ญ๐ฌ ๐๐๐ด๐๐๐ ๐ฎ๐ฌ๐ฎ๐ฒ
Researchers from academia, research institutes, and industry are warmly invited to submit their latest work and join us for an engaging scientific discussion.
๐ Conference website: https://icnaam.org/
If you are interested in submitting your work to this symposium or have any questions, please feel free to contact the organizers:
๐ง ali.fallah [at] atilim.edu.tr (ali[dot]fallah[at]atilim[dot]edu[dot]tr)
๐ง aghdam [at] aut.ac.ir (aghdam[at]aut[dot]ac[dot]ir)
We look forward to welcoming you to ๐๐ฒ๐ฟ๐ฎ๐ธ๐น๐ถ๐ผ๐ป, ๐๐ฟ๐ฒ๐ฒ๐ฐ๐ฒ, for ๐๐๐ก๐๐๐ ๐ฎ๐ฌ๐ฎ๐ฒ!
#ICNAAM2026 #ScientificMachineLearning #PhysicsInformedAI #PINNs #NeuralOperators #ComputationalMechanics #Multiphysics #NumericalMethods #EngineeringAI #AI4Science