IOP Publishing has launched Machine Learning: Science and Technology, a new fully open access, multidisciplinary journal devoted to the application and development of machine learning for the sciences.
The application of machine learning methods is rapidly emerging as a powerful tool for new scientific discovery. It is playing an increasingly important role in a diverse range of fields extending from novel materials design, quantum physics and the simulation of molecules and chemical systems, to particle physics, medical imaging, space science, natural disaster prediction and drug discovery.
Informed through close consultation with the community, Machine Learning: Science and Technology will be a high quality, fully open access journal that recognises the significant role machine learning will have for science and technology into the future. In doing so it will provide immediate and perpetual open access to all content under a CC-BY licence so that it can be accessed and shared by anyone without restriction.
The vision is to create a journal that uniquely bridges the application of machine learning techniques across a broad range of subject disciplines (including physics, materials science, chemistry, biology, medicine, earth science and space science) with new conceptual advances in machine learning methods motivated by physical insights.
Machine Learning: Science and Technology will open for submissions in 2019.
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