Ivo F Sbalzarini

11PUBLICATIONS
16CO-AUTHORS
Numerical modelling and mechanical characterisationHydrodynamics and hydraulic engineeringDeep learningReaction kinetics and dynamicsNeural networks
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Publications (11)

|Sep 11, 2025
Mechanics of knee meniscus results from precise balance between material microstructure and synovial fluid viscosity.

Camilo A S Afanador, Stéphane Urcun, Ivo F Sbalzarini

|Jun 04, 2025
Morphogen gradients are regulated by porous media characteristics of the developing tissue.

Justina Stark, Rohit Krishnan Harish, Ivo F Sbalzarini

|Jun 02, 2025
Regularized Gradient Statistics Improve Generative Deep Learning Models of Super Resolution Microscopy.

Meri Abgaryan, Xinning Cui, Nandu Gopan

|Dec 16, 2024
Loss of bimolecular reactions in reaction-diffusion master equations is consistent with diffusion limited reaction kinetics in the mean field limit.

Tina Subic, Ivo F Sbalzarini

|Aug 07, 2023
STENCIL-NET for equation-free forecasting from data.

Suryanarayana Maddu, Dominik Sturm, Bevan L Cheeseman

|Nov 22, 2022
A Gaussian jump process formulation of the reaction-diffusion master equation enables faster exact stochastic simulations.

Tina Subic, Ivo F Sbalzarini

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Frequent Collaborators

2 joint publications

Christian L Müller

2 joint publications

Tina Subic

1 joint publications

Lutz Brusch

1 joint publications

Bevan L Cheeseman