Cellfoundry: A GPU-accelerated, multi-physics ABM framework for cellular microenvironment and organoid-scale studies

Borau, C. orcid.org/0000-0002-3784-1140, Chisholm, R. orcid.org/0000-0003-3379-9042 and Richmond, P. orcid.org/0000-0002-4657-5518 (2026) Cellfoundry: A GPU-accelerated, multi-physics ABM framework for cellular microenvironment and organoid-scale studies. Array, 31. 101107. ISSN: 2590-0056

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2026 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/).

Keywords: Agent-based modelling; GPU computing; Mechanobiology; Extracellular matrix; Focal adhesions; FLAMEGPU2
Dates:
  • Submitted: 28 May 2026
  • Accepted: 24 July 2026
  • Published (online): 21 August 2026
  • Published: September 2026
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Date Deposited: 14 Sep 2026 13:28
Last Modified: 14 Sep 2026 13:28
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: 10.1016/j.array.2026.101107
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics