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Computation
Special Issues
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Special Issues

Computation publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions follow MDPI's standard editorial process. The journal’s Editor-in-Chief and/or designated Editorial Board Member will oversee Guest Editor appointments and Special Issue proposals, checking their content for relevance and ensuring the suitability of the material for the journal. The papers published in a Special Issue will be collected and displayed on a dedicated page of the journal’s website. Further information on MDPI's Special Issue policies and Guest Editor responsibilities can be found here. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Computational Methods for Machine Learning-Driven Reconfigurable Systems
edited by
Umer Farooq
submission deadline 30 Oct 2027 | Viewed by 206 | Submission Open
Keywords: reconfigurable systems; artificial intelligence; machine learning; computational methods; data analytics and digital systems; adaptive systems; intelligent systems; optimization techniques; embedded systems; edge and cloud computing; high-performance computing; data-driven methods; system design and automation; hardware-software integration; runtime adaptation; scalable systems; emerging computing paradigms; electronic design automation; backend flow
(This special issue belongs to the Section Computational Engineering)
HPC-Driven CFD: From Algorithms to GPU Supercomputers
edited by Stefano Zaghi
submission deadline 30 Nov 2027 | Viewed by 5 | Submission Open
Keywords: high-performance computing; computational fluid dynamics; numerical algorithms; discretization schemes; high-fidelity simulation; device-accelerated computing; GPU and accelerator architectures; mixed- and reduced-precision methods; conservation and stability of reduced-precision CFD; structured, unstructured, and meshless methods; adaptive mesh refinement and overset grids; multi-device scaling; performance portability; parallel and in situ I/O; machine learning-augmented CFD; reproducible computational science
(This special issue belongs to the Section Computational Engineering)
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