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Concept

Physique d'Aristote

Publications associées (10)

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

Olga Fink, Vinay Sharma

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, Siyu Chen, Alfredo Glioti, 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 ...

Springer Nature2022

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 ...

Springer Nature2021

Learning new physics from a machine

Andrea Wulzer, Raffaele Tito D'Agnolo

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 ...

American Physical Society2019

Iterative structural identification framework for evaluation of existing structures

Ian Smith, Romain Pasquier

Evaluation of aging infrastructure has been a world-wide concern for decades due to its economic, ecological and societal importance. Existing structures usually have large amounts of unknown reserve capacity that may be evaluated though structural identif ...

2016

First application of the Laser Ion Source and Trap (LIST) for on-line experiments at ISOLDE

The Laser Ion Source and Trap (LIST) provides a new mode of operation for the resonance ionization laser ion source (RILIS) at ISOLDE/CERN, reducing the amount of surface-ionized isobaric contaminants by up to four orders of magnitude. After the first succ ...

Elsevier Science Bv2013

The success story of crystallography

Dieter Schwarzenbach

Diffractionists usually place the birth of crystallography in 1912 with the first X-ray diffraction experiment of Friedrich, Knipping and Laue. This discovery propelled the mathematical branch of mineralogy to global importance and enabled crystal structur ...

2012

The success story of crystallography

Dieter Schwarzenbach

2012

Publications associées (10)