Computational Science - ICCS 2025 Workshops

25th International Conference, Singapore, Singapore, July 7-9, 2025, Proceedings, Part I

By: Maciej Paszynski (Editor), Amanda S. Barnard (Editor), Yongjie Jessica Zhang (Editor)

Write A Review

eText | 6 July 2025

At a Glance

Format
ePUB

eText

$139.00

or 4 interest-free payments of $34.75 with

or

Instant online reading in your Booktopia eTextbook Library *

The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7-9, 2025.

The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions. The papers are organized in the following topical sections:

Volume I:

Advances in high-performance computational earth sciences: numerical methods, frameworks & applications; artificial intelligence approaches for network analysis; artificial intelligence and high-performance computing for advanced simulations; and biomedical and bioinformatics challenges for computer science.

Volume II:

Computational health; computational modeling and artificial intelligence for social systems; and computational optimization, modelling and simulation.

Volume III:

Computational science and AI for addressing complex and dynamic societal challenges equitably; computer graphics, image processing and artificial intelligence; computing and data science for materials discovery and design; and large language models and intelligent decision-making within the digital economy.

Volume IV:

Machine learning and data assimilation for dynamical systems; and multi-criteria decision-making: methods, applications, and innovations.

Volume V:

(Credible) Multiscale modelling and simulation; numerical algorithms and computer arithmetic for computational science; quantum computing; retrieval-augmented generation; and simulations of flow and transport: modeling, algorithms and computation.

Volume VI:

Smart systems: bringing together computer vision, sensor networks and artificial intelligence; solving problems with uncertainty; and teaching computational science.