57 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- 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…
Deep self-consistent learning of local volatility
Zhe Wang, Ameir Shaa, Nicolas Privault +1
We present an algorithm for the calibration of local volatility from market option prices through deep self-consistent learning, by approximating both market option prices and loca…
Unifying description of the vibrational anomalies of amorphous materials
Shivam Mahajan, Massimo Pica Ciamarra
The vibrational density of states of solids controls their thermal and transport properties. In crystals, the low-frequency modes are extended phonons distributed in frequen…