Concept

Physique d'Aristote

Publications associées (26)

Learning Dynamics of Spring-Mass Models with Physics-Informed Graph Neural Networks

We propose a physics-informed message-passing graph neural network (GNN) for learning the dynamics of springmass systems. The proposed method embeds the underlying physics directly into the message-passing scheme of the GNN. We compare the new scheme with ...

Research Publishing2023

Learning from radiation at a very high energy lepton collider

Riccardo Rattazzi, Andrea Wulzer, Alfredo Glioti, Siyu Chen, Lorenzo Ricci

We study the potential of lepton collisions with about 10 TeV center of mass energy to probe Electroweak, Higgs and Top short-distance physics at the 100 TeV scale, pointing out the interplay with the long-distance (100 GeV) phenomenon of Electroweak radia ...

SPRINGER2022

Quantum-Mechanically Enhanced Water Flow in Subnanometer Carbon Nanotubes

Giorgio Palermo

Water flow in carbon nanotubes (CNTs) starkly contradicts classical fluid mechanics, with permeabilities that can exceed no-slip Haagen-Poiseuille predictions by 2-5 orders of magnitude. Semiclassical molecular dynamics accounts for enhanced flow rates tha ...

AMER CHEMICAL SOC2022

Future water temperature of rivers in Switzerland under climate change investigated with physics-based models

Michael Lehning, Wolf Hendrik Huwald, Adrien Michel, Bettina Schaefli, Nander Wever

River ecosystems are highly sensitive to cli-mate change and projected future increase in air tempera-ture is expected to increase the stress for these ecosystems. Rivers are also an important socio-economic factor impact- ing, amongst others, agriculture, ...

2022

Il demone dell'analogia: Ovvero affinità e divergenze fra il compagno aristotele e noi

Nicola Braghieri

This laconic discourse uses the Aristotelian authority to define the role of the analogical procedure in the government of the architectural composition. Respecting its ambiguous balance between mathematical method and attitude of the imagination, analogy ...

2021

Static and dynamic properties of non-collinear quantum antiferromagnets explored by neutron scattering

Luc Testa

This thesis is devoted to the investigation of static and dynamic properties of two different sets of quantum magnets with neutron scattering techniques and the help of linear spin wave theory. Both systems are copper-based with spin-1/2, which makes them ...

EPFL2021

Linearized supergravity with a dynamical preferred frame

Sergey Sibiryakov

We study supersymmetric extension of the Einstein-aether gravitational model where local Lorentz invariance is broken down to the subgroup of spatial rotations by a vacuum expectation value of a timelike vector field called aether. Embedding aether into a ...

SPRINGER2021

Towards Efficient and Accurate Numerical Simulations of Galaxies using Task-based Parallelism and Application to Dwarf Galaxies

Loïc Hausammann

Numerical simulations are of a tremendous help to understand the growth of non-linear cosmological structures and how they lead to the formation of galaxies. In recent years, with the goal of improving their prediction power, new hydrodynamical techniques ...

EPFL2021

Advances in the physics studies for the JT-60SA tokamak exploitation and research plan

Stefano Coda, Javier García Hernández, Marco Wischmeier, Matteo Vallar, Kenji Tanaka, Aylwin Iantchenko, Samuele Mazzi, Leonardo Pigatto

JT-60SA, the largest tokamak that will operate before ITER, has been designed and built jointly by Japan and Europe, and is due to start operation in 2020. Its main missions are to support ITER exploitation and to contribute to the demonstration fusion rea ...

IOP PUBLISHING LTD2020

Learning new physics from a machine

Raffaele Tito D'Agnolo, Andrea Wulzer

We propose using neural networks to detect data departures from a given reference model, with no prior bias on the nature of the new physics responsible for the discrepancy. The virtues of neural networks as unbiased function approximants make them particu ...

AMER PHYSICAL SOC2019

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