Aim & Scope
Nature Computational Science is a multidisciplinary journal that focuses on the development and use of computational techniques and mathematical models, as well as their application to address complex problems across a range of scientific disciplines. The journal publishes both fundamental and applied research, from groundbreaking algorithms, tools and frameworks that notably help to advance scientific research, to methodologies that use computing capabilities in novel ways to find new insights and solve challenging real-world problems. By doing so, the journal creates a unique environment to bring together different disciplines to discuss the latest advances in computational science. [1]
Series / Collection
0028-0836 ( Print )
1476-4687 ( Online )
Nature Research
,
Springer
2157-846X ( Online )
Nature Research
,
Springer
1087-0156 ( Print )
1546-1696 ( Online )
Nature Research
,
Springer
2731-0590 ( Online )
Nature Research
,
Springer
1465-7392 ( Print )
1476-4679 ( Online )
Nature Research
,
Springer
2024
Virtual node graph neural network for full phonon prediction.
R Okabe , A Chotrattanapituk , A Boonkird , ... , M Li
Nature Computational Science , 2024
Free-form and multi-physical metamaterials with forward conformality-assisted tracing.
L Xu , G Dai , F Yang , ... , CW Qiu
Nature Computational Science , 2024
Promising directions of machine learning for partial differential equations
Nature Computational Science , 2024
Free-form metamaterials design with isotropic materials
Nature Computational Science , 2024
Overcoming data scarcity in biomedical imaging with a foundational multi-task model
R Schäfer , T Nicke , H Höfener , ... , F Kiessling
Nature Computational Science , 2024
A multi-task learning strategy to pretrain models for medical image analysis
No authors listed.
Nature Computational Science , 2024
Boosting graph neural networks with virtual nodes to predict phonon properties
No authors listed.
Nature Computational Science , 2024
Structure-based prediction of T cell receptor recognition of unseen epitopes using TCRen
VK Karnaukhov , DS Shcherbinin , AO Chugunov , ... , M Shugay
Nature Computational Science , 2024