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2020 – today
- 2023
[j6]Alessio Alexiadis
:
A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems. J. Comput. Phys. 473: 111750 (2023)- 2020
- [j5]Michael Schütt, Konstantinos Stamatopoulos, M. J. H. Simmons, Hannah K. Batchelor, Alessio Alexiadis:
Modelling and simulation of the hydrodynamics and mixing profiles in the human proximal colon using Discrete Multiphysics. Comput. Biol. Medicine 121: 103819 (2020)
2010 – 2019
- 2019
- [j4]Alessio Alexiadis:
Deep multiphysics: Coupling discrete multiphysics with machine learning to attain self-learning in-silico models replicating human physiology. Artif. Intell. Medicine 98: 27-34 (2019) - 2018
- [j3]Mostapha Ariane, Stavros C. Kassinos, Sitaram Velaga, Alessio Alexiadis:
Discrete multi-physics simulations of diffusive and convective mass transfer in boundary layers containing motile cilia in lungs. Comput. Biol. Medicine 95: 34-42 (2018) - 2017
- [j2]Alessio Alexiadis, Konstantinos Stamatopoulos, Wei Wen, Hannah K. Batchelor, Serafim Bakalis, Mostafa Barigou, M. J. H. Simmons:
Using discrete multi-physics for detailed exploration of hydrodynamics in an in vitro colon system. Comput. Biol. Medicine 81: 188-198 (2017) - [j1]Mostapha Ariane, Wei Wen, Daniele Vigolo, Alexander Brill, F. G. B. Nash, Mostafa Barigou, Alessio Alexiadis:
Modelling and simulation of flow and agglomeration in deep veins valves using discrete multi physics. Comput. Biol. Medicine 89: 96-103 (2017)
Coauthor Index
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