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COMSAP 2026: International Conference on Computational Science & Applications

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COMSAP
Día de Entrega:
2026-08-15 Faltan 11 días
Fecha de Notificación:
2026-10-17
Fecha de conferencia:
2026-11-14
Ubicación:
Melbourne, Australia
Ediciones:
4
Vistas: 24   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

COMSAP 2026 (International Conference on Computational Science & Applications) is an academic conference held in Melbourne, Australia on 2026-11-14. The paper submission deadline is 2026-08-15. Acceptance notifications are sent on 2026-10-17.

Scope & Topics 4th International Conference on Computational Science & Applications (COMSAP 2026) Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modelling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Computational research trends and applications to establishing new collaborations in these areas. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science, Engineering and Applications. Topics of interest include, but are not limited to, the following: · AI, Machine Learning and Scientific Computing · Architectures and Computation Models, Compiler, Hardware and OS Issues · Computational Sciences (Biology, Chemistry, Mathematics, Physics, Humanities, Forensics, Sociology etc.) · Education in Computational Science · Hybrid Computational Methods · Large Scale Scientific Instruments · Medical and Biomedical Computational Science · Memory system, I/O, Tools, Programming Environment and Language Supports · Modeling, Algorithms and Simulations · Parallel, Distributed and High Performance Computing · Problem Solving · Quantum Computing · Scientific Computing · Visualization and Virtual Reality to Computational Science
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