activity
20072024
most citedWarm pasta phase in the Thomas-Fermi approximation

81 citations · 380 across the 17 of their papers we have counts for

collaborators

19 papers

cond-mat.soft2024★ 5 cited

Polarisable soft solvent models with applications in dissipative particle dynamics

Silvia Chiacchiera, Patrick B. Warren, Andrew J. Masters +1

We critically examine a broad class of explicitly polarisable soft solvent models aimed at applications in dissipative particle dynamics. We obtain the dielectric permittivity usin…

cs.AI2020

Semantic interoperability based on the European Materials and Modelling Ontology and its ontological paradigm: Mereosemiotics

Martin Thomas Horsch, Silvia Chiacchiera, Björn Schembera +2

The European Materials and Modelling Ontology (EMMO) has recently been advanced in the computational molecular engineering and multiscale modelling communities as a top-level ontol…

cs.CE2020★ 5 cited

Reliable and interoperable computational molecular engineering: 2. Semantic interoperability based on the European Materials and Modelling Ontology

Martin Thomas Horsch, Silvia Chiacchiera, Youness Bami +4

The European Materials and Modelling Ontology (EMMO) is a top-level ontology designed by the European Materials Modelling Council to facilitate semantic interoperability between pl…

cs.DB2019

Ontologies for the Virtual Materials Marketplace

Martin Thomas Horsch, Silvia Chiacchiera, Michael A. Seaton +13

The Virtual Materials Marketplace (VIMMP) project, which develops an open platform for providing and accessing services related to materials modelling, is presented with a focus on…

cs.DC2019★ 42 cited

Semantic interoperability and characterization of data provenance in computational molecular engineering

M. T. Horsch, C. Niethammer, G. Boccardo +11

By introducing a common representational system for metadata that describe the employed simulation workflows, diverse sources of data and platforms in computational molecular engin…

cond-mat.dis-nn2019★ 8 cited

Detecting composite orders in layered models via machine learning

W. Rzadkowski, N. Defenu, S. Chiacchiera +2

Determining the phase diagram of systems consisting of smaller subsystems 'connected' via a tunable coupling is a challenging task relevant for a variety of physical settings. A ge…