2023 Impact factor 1.5
Atomic, Molecular, Optical and Plasma Physics

EPJ E Topical Issue: Endowing Active Particles with Artificial Intelligence

Guest Editors: Frank Cichos, On Shun Pak, Holger Stark and Lailai Zhu

Submissions are invited for a Topical Issue of EPJ E on Endowing Active Particles with Artificial Intelligence.

There has been substantial interest in synthetic and biological active particles capable of self-propelling at small scales in recent decades. These active particles not only overcome the challenges of swimming at low Reynolds numbers, but also represent a novel class of nonequilibrium systems, exhibiting intriguing collective behaviors. Recently, the remarkable advancements and growing interest in machine learning have opened exciting opportunities for the studies of both synthetic and biological active particles. The prowess of machine learning has been leveraged in a multitude of applications, from learning novel mechanisms for generating active motion, finding optimal strategies for navigating complex environments, to generating new insights into the functioning and evolution of biological active matter.

This topical issue is dedicated to exploring the integration of active particles and artificial intelligence, delving into the latest progresses at the intersection of these two rapidly emerging fields.

Original research papers, Reviews, and Colloquium-type articles focusing on the latest experimental, theoretical or computational advancements in the field as described above are welcome. We invite contributors to communicate their intention to submit manuscripts for this Topical Issue to the Guest Editors as soon as possible. Please provide the tentative title of the paper and a short abstract. The full manuscripts should be submitted before the deadline directly to the EPJ E Editorial Office at https://www.editorialmanager.com/epje/.

Deadline for submission: September 15, 2024

Submissions should be clearly identified as intended for the Topical Issue on ‘Endowing Active Particles with Artificial Intelligence’. Papers will be published continuously and will appear as soon as accepted on the journal website. The electronic version of the Topical Issue will contain all accepted papers in the order of publication. All submitted papers will be refereed according to the usual high standards of the journal. More information about EPJ E, including instructions for authors is available here.

Guest Editors of the Topical Issue

Frank Cichos
Molecular Nanophotonics Group, Peter Debye Institute for Soft Matter Physics, Faculty of Physics and Earth Sciences, Leipzig University, Linnéstraße 5, 04103 Leipzig, Germany
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On Shun Pak
Department of Mechanical Engineering, Santa Clara University, 500 El Camino Real, Santa Clara CA 95053 USA
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Holger Stark
Technische Universität Berlin, Institut für Theoretische Physik, Hardenbergstraße 36, 10623 Berlin – Germany
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Lailai Zhu
Department of Mechanical Engineering, National University of Singapore, College of Design and Engineering, 9 Engineering Drive 1, Block EA #07-08, Singapore 117575, Singapore
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Open Access

EPJ E is a hybrid journal offering Open Access publication via the Open Choice programme and a growing number of Springer Compact “Publish and Read” arrangements which enable authors to publish OA at no direct cost (all costs are paid centrally).

A. Beige, J. Burgdörfer and S. Ptasinska
"I take this opportunity to thank the EPJD editorial office for the rapid and efficient processing of our paper.

Mauro Temporal

ISSN (Print Edition): 1434-6060
ISSN (Electronic Edition): 1434-6079

© EDP Sciences, Società Italiana di Fisica and Springer-Verlag