57 citations
- ESI Group (France)FR3 papers
- Nanyang Technological UniversitySG3 papers
- Universidad de ZaragozaES3 papers
- Universidad Politécnica de MadridES3 papers
- Arts et MétiersFR2 papers
- Instituto Tecnológico de AragónES2 papers
- Laboratoire Procédés et Ingénierie en Mécanique et MatériauxFR2 papers
- University of Naples Federico IIIT2 papers
- Beijing Institute of TechnologyCN1 paper
- CREATe CentreGB1 paper
- École Pour l'Informatique et les Techniques AvancéesFR1 paper
- Image and Pervasive Access LaboratorySG1 paper
8 papers
On Robustness for the Skolem, Positivity and Ultimate Positivity Problems
S. Akshay, Hugo Bazille, Blaise Genest +1
The Skolem problem is a long-standing open problem in linear dynamical systems: can a linear recurrence sequence (LRS) ever reach 0 from a given initial configuration? Similarly, t…
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
Quercus Hernández, Alberto Badías, Francisco Chinesta +1
We develop inductive biases for the machine learning of complex physical systems based on the port-Hamiltonian formalism. To satisfy by construction the principles of thermodynamic…
Thermodynamics-informed neural networks for physically realistic mixed reality
Quercus Hernández, Alberto Badías, Francisco Chinesta +1
The imminent impact of immersive technologies in society urges for active research in real-time and interactive physics simulation for virtual worlds to be realistic. In this conte…
Local Plastic Response and Slow Heterogeneous Dynamics of Supercooled Liquids
Yan-Wei Li, Yugui Yao, Massimo Pica Ciamarra
We demonstrate, via numerical simulations, that the relaxation dynamics of supercooled liquids correlates well with a plastic length scale measuring a particle's response to impuls…
Interplay between jamming and MIPS in persistent self-propelling particles
Jing Yang, Ran Ni, Massimo Pica Ciamarra
In living and engineered systems of active particles, self-propulsion induces an unjamming transition from a solid to a fluid phase and phase separation between a gas and a liquid-…
Thermodynamics-informed graph neural networks
Quercus Hernández, Alberto Badías, Francisco Chinesta +1
In this paper we present a deep learning method to predict the temporal evolution of dissipative dynamic systems. We propose using both geometric and thermodynamic inductive biases…