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Nobel Prize in Chemistry 2025
The 2025 Nobel Prize in Chemistry has been awarded to Susumu Kitagawa, Richard Robson and Omar M. Yaghi “for the development of metal–organic frameworks.”
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The impact of large language models in science
Large language models (LLMs) are rapidly being implemented in a wide range of disciplines, with the promise of unlocking new possibilities for scientific exploration.
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Physics-Informed Machine Learning
This cross-journal Collection between Nature Communications, Nature Computational Science, Communications Physics, and Scientific Reports brings together the advances in Physics-Informed Machine Learning.
Image: © EDUARD MUZHEVSKYI / SCIENCE PHOTO LIBRARY/Science Photo Library/GettyimagesOpen for submissions -
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Generative modeling for molecular design and discovery
Generative models have gained widespread attention in recent years due to their inverse design capabilities and their potential to accelerate the molecular design and discovery processes.
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The Beijing Declaration: 30 years of progress
Journals from the Nature Portfolio wish to celebrate the achievements that have been made since the Beijing declaration for women's rights, emphasize areas where progress is needed and bring to the fore ideas offering a path forward.
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Nobel Prize in Chemistry 2024
The 2024 Nobel Prize in Chemistry has been awarded to David Baker “for computational protein design” and to Demis Hassabis and John M. Jumper “for protein structure prediction”.
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Nobel Prize in Physics 2024
The Nobel Prize in Physics 2024 has been awarded to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks”.
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The state of DEI in computational science
The field of computational science faces many challenges when it comes to improving the state of equitable access and representation, as well as creating computational tools that do not further exacerbate existing inequalities.
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Computational design of metamaterials
Metamaterials have recently garnered substantial research interest as they can be engineered to achieve materials properties not found in nature, thus presenting unique opportunities across various fields.
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Computational social science
The use of computational methods and tools to deepen our understanding of long-standing questions in the social sciences has been rapidly growing in recent years.
Image: Orbon Alija / E+ / Getty images