von Lilienfeld named editor-in-chief, Corminboeuf named to editorial board of new open access journal Machine Learning: Science and Technology

This was published on July 16, 2019

Machine Learning: Science and Technology (MLST), a new open access journal devoted to the application and development of machine learning for the sciences, has appointed two NCCR MARVEL members to it editorial team. Prof. Anatole von Lilienfeld of the Institute of Physical Chemistry at the University of Basel and project leader of MARVEL Incubator Project 2 has been named Editor-in-Chief. Prof. Clémence Corminboeuf, professor at the Institute of Chemical Sciences and Engineering at EPFL and part of MARVEL's Executive Committee, has been named to the editorial board. The journal is now open for submissions.

by Carey Sargent, EPFL, NCCR MARVEL

"Machine learning is rapidly emerging as a powerful tool for new discovery across the sciences," von Lilienfeld said on the journal's website. "I am delighted to be working with IOP Publishing as a leading society publisher to develop Machine Learning: Science and Technology into a high quality, open access journal that will uniquely represent the multidisciplinary and most important technological advances in the field."

Machine Learning: Science and Technology is a multidisciplinary journal bridging the application of machine learning across a broad range of subject disciplines including physics, materials science, chemistry, biology, biomedicine, earth science and space science. A particular focus is on new conceptual advances in machine learning methods motivated by the physical sciences. 

It is a gold open access journal. Articles are published under a Creative Commons Attribution (CC BY) licence. Articles are freely available to everyone to read and reuse immediately upon publication, provided the terms of the licence are followed and clear attribution to the author is given. Publication is funded by article publication charges (APCs).  There will be no article publication charge for any article submitted before July 2020 that is accepted and published in the journal.

More information on the journal can be found here.

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