Researcher
Fred VERMOLEN
- Keywords:Unknown
- Disciplines:Other mathematical sciences and statistics not elsewhere classified
Affiliations
- Data Science Institute (Research institute)
Member
From1 Sep 2020 → Today - Mathematics and statistics (Department)
Member
From1 May 2020 → Today - Computational mathematics (Research group)
Member
From1 May 2020 → Today - Faculty of Sciences (Faculty)
Member
From1 May 2020 → Today
Projects
1 - 4 of 4
- Using Machine Learning to Accelerate Computer Simulations for Burn CareFrom1 Jan 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- AdaPore: rigorous and fully adaptive model selection for multiphase flow through porous mediaFrom1 Jun 2022 → 31 Oct 2023Funding: FWO junior postdoctoral fellowship
- Mathematical exploration of contraction mechanisms in burn scars using uncertainty quantification.From1 Mar 2022 → 31 Dec 2022Funding: BOF - projects
- Modeling of flow and transport in capillary networksFrom1 Jan 2022 → 31 Mar 2022Funding: BOF - mobility
Publications
1 - 10 of 23
- Analysis of linearized elasticity models with point sources in weighted Sobolev spaces: applications in tissue contraction(2023)
Authors: Wietse M. Boon, Fred VERMOLEN
Pages: 2349 - 2370 - In silico exploration of post-burn contraction using uncertainty quantification(2023)
Authors: Ginger EGBERTS, Fred VERMOLEN
Number of pages: 182 - Mathematical model of mechano-sensing and mechanically induced collective motility of cells on planar elastic substrates(2023)
Authors: Riham K. Ahmed, Tamer Abdalrahman, Neil H. Davies, Fred VERMOLEN, Thomas Franz
Pages: 809 - 824 - A Spatial Markov Chain Cellular Automata Model for the Spread of Viruses(2023)Series: Lecture Notes in Computational Vision and BiomechanicsVolume: 38
Authors: Jenny Lu, Fred VERMOLEN, JMRS Tavares, C Bourauel, L Geris, JV Slote
Pages: 1 - 23Number of pages: 23 - Predicting the Efficacy of Stalk Cells Following Leading Cells Through a Micro-Channel Using Morphoelasticity and a Cell Shape Evolution Model(2023)Series: Lecture Notes in Computational Vision and BiomechanicsVolume: 38
Authors: Qiyao PENG, Fred VERMOLEN, D. Weihs, JMRS Tavares, L. Bourauel, L Geris, JV Slote
Pages: 112 - 122Number of pages: 11 - High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations(2023)
Authors: Ginger EGBERTS, Fred VERMOLEN, Paul van Zuijlen
- Physical confinement and cell proximity increase cell migration rates and invasiveness: A mathematical model of cancer cell invasion through flexible channels(2023)
Authors: Qiyao PENG, Fred VERMOLEN, Daphne Weihs
- Stability of a two-dimensional biomorphoelastic model for post-burn contraction(2023)
Authors: Ginger EGBERTS, Fred VERMOLEN, Paul van Zuijlen
- Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction(2022)
Authors: Ginger EGBERTS, Alexis Desmouliere, Fred VERMOLEN, Paul van Zuijlen
Pages: 105 - 121 - Scar formation from the perspective of complexity science: a new look at the biological system as a whole(2022)
Authors: H. Ibrahim Korkmaz, Frank B. Niessen, Anouk Pijpe, Vivek M. Sheraton, Fred VERMOLEN, Paul Aj Krijnen, Hans Wm Niessen, Peter Ma Sloot, Esther Middelkoop, Susan Gibbs, et al.
Pages: 178 - 184
Linked dataset
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