会议信息

COMSAP 2026: International Conference on Computational Science & Applications

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COMSAP
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截稿日期:
2026-08-15
通知日期:
2026-10-17
会议日期:
2026-11-14
会议地点:
Melbourne, Australia
届数:
4
浏览: 501   关注: 0   参加: 0

会伴指数 (CP-I)

42.5 / 100
全站第 4,037 名 / 共 5,682 个会议 · 前 72%

系统与体系结构 第 263 / 341

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
43
社区关注 (10%)
10
资料公开度 (15%)
35

用到的输入: 有据可查的届次：4 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-18

征稿

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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