Surrey Mathematics Research Blog

The blog on research in mathematics at the University of Surrey

Paper of Tommaso Macrelli and Martin Wolf on homotopy algebras published in Fortschritte der Physik

The paper “Double copy from homotopy algebras“, co-authored by Leron Borsten (Heriot Watt), Branislav Jurco (Charles University Prague), Hyungrok Kim (Herriot Watt), Tommaso Macrelli, Christian Saemann (Heriot Watt), and Martin Wolf, has been published in Fortschritte der Physik. The published version (available gold open access) is here and the finalform arXiv version is here. The […]


Juan Miguel Nieto Garcia and Alessandro Torrielli co-organize online workshop with the Hamilton Mathematics Institute

This week (17-20 August), Marius de Leeuw (Trinity College Dublin), Juan Miguel Nieto Garcia, Ana Retore (Trinity College Dublin), and Alessandro Torrielli are co-organising an online workshop on “Integrability in Lower Dimensional AdS/CFT“, hosted by the Hamilton Mathematical Institute in Dublin. A link to the workshop website is here. The aim of the workshop will […]


Paper of Benjamin Galbally and Sergey Zelik accepted for publication in CPAA

The paper “Cesaro summation by spheres of lattice sums and Madelung constants” co-authored by Benjamin Galbally and Sergey Zelik, has been accepted for publication in Communications in Pure and Applied Analysis (link here). The final form arXiv version is available here. The paper studies convergence of 3D lattice sums via expanding spheres, proving that these […]


Cesare Tronci speaks at conference in Paris on Geometric Science of Information

Cesare Tronci was in Paris from 21-23 July for the 5th Conference on Geometric Science of Information held at Sorbonne University. He co-organised, with François Gay-Balmaz (ENS Paris) a session on “Geometric & Symplectic Methods for Hydrodynamical Models” and gave a talk on “From quantum hydrodynamics to Koopman wavefunctions II?”. A link to the conference […]


Paper of Stefan Klus on machine learning in quantum science published in IOP journal MLST

The paper “Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry“, co-authored by Stefan Klus, Patrick Gelß (Free University Berlin), Feliks Nüske (Paderborn University), and Frank Noé (Free University Berlin & Rice University), has been published in the IOP journal “Machine Learning: Science and Technology“. The paper is published gold open […]


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