output
19932021
most citedPerspective: Dissipative Particle Dynamics

583 citations

72 papers

q-bio.PE2021★ 24 cited

Bioenergetics modelling to analyse and predict the joint effects of multiple stressors: Meta-analysis and model corroboration

Benoit Goussen, Cecilie Rendal, David Sheffield +3

Understanding the consequences of the combined effects of multiple stressors-including stress from man-made chemicals is important for conservation management, the ecological risk…

q-bio.TO2020

Numerical analysis of the strain distribution in skin domes formed upon the application of hypobaric pressure

Daniel Sebastia-Saez, Faiza Benaouda, Charlie Lim +4

Suction cups are widely used in applications such as in measurement of mechanical properties of skin in vivo, in drug delivery devices or in acupuncture treatment. Understanding th…

cond-mat.soft2020★ 29 cited

Analytical modeling of micelle growth. 4. Molecular thermodynamics of wormlike micelles from ionic surfactants: theory vs. experiment

K. D. Danov, P. A. Kralchevsky, R. D. Stanimirova +3

Hypotheses: The aggregation number and length of spherocylindrical (rodlike, wormlike) micelles in solutions of an ionic surfactant and salt can be predicted knowing the molecular…

cond-mat.soft2020★ 22 cited

Analytical modeling of micelle growth. 3. Electrostatic free energy of ionic wormlike micelles -- effects of activity coefficients and spatially confined electric double layers

K. D. Danov, P. A. Kralchevsky, S. D. Stoyanov +2

Hypotheses: To correctly predict the aggregation number and size of wormlike micelles from ionic surfactants, the molecular-thermodynamic theory has to calculate the free energy pe…

cond-mat.soft2020★ 17 cited

Rheology of protein-stabilised emulsion gels envisioned as composite networks. 1 -- Comparison of pure droplet gels and protein gels

Marion Roullet, Paul S. Clegg, William J. Frith

Protein-stabilised emulsion gels can be studied in the theoretical framework of colloidal gels, because both protein assemblies and droplets may be considered as soft colloids. The…

cs.CV2020★ 27 cited

Multi-task deep learning for image segmentation using recursive approximation tasks

Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis +3

Fully supervised deep neural networks for segmentation usually require a massive amount of pixel-level labels which are manually expensive to create. In this work, we develop a mul…