- Published on Wednesday, 21 December 2016 18:30
Soft matter systems are inherently characterized by length- and time-scales that span many orders of magnitude. Such a multi-scale nature poses many challenges to the theoretical and computational modelling of these fascinating systems. As a result, the last years have seen a huge effort towards the development of new numerical methods and techniques explicitly tailored for soft matter systems.
The European Physical Journal E - Soft Matter and Biological Physics - is planning a special issue on recent advances on computational soft matter, providing an avenue to collect and disseminate new methods and results on these exciting new developments.
Areas of interest include (but are not limited to): (i) advanced sampling techniques in molecular simulations; (ii) hydrodynamics in soft matter systems; (iii) out-of-equilibrium systems (e.g. active matter, biological systems); (iv) large-scale simulations (GP-GPU computing, parallel computing)
The submission is open to everyone working in the field. We invite contributors to communicate their intention to submit manuscripts for this Special Issue to the Guest Editors as soon as possible. The full manuscripts should be submitted before 15 December 2017 directly to the EPJE Editorial Office at https://articlestatus.edpsciences.org/is/epje.
Submissions should be clearly identified as intended for the Special Issue "Advances in Computational Methods for Soft Matter Systems". Papers will be published continuously and will appear (as soon as accepted) on the journal website. The electronic version of the Special 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 general information about EPJE including instructions for authors is available at http://epje.epj.org .
Deadline for submission: 15th December 2017
Lorenzo Rovigatti, Rudolf Peierls Centre for Theoretical Physics, University of Oxford Flavio Romano, Dipartimento di Scienze Molecolari e Nanosistemi, Universita' Ca' Foscari, Venezia John Russo, School of Mathematics, University of Bristol