Publications associées à Histoire de la physique

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 ...

Springer Nature2022

Excitonic devices with van der Waals heterostructures: valleytronics meets twistronics

Andras Kis, Fedele Tagarelli, Ahmet Avsar, Alberto Ciarrocchi

2D semiconducting transition metal dichalcogenides comprise an emerging class of materials with distinct properties, including large exciton binding energies that reach hundreds of millielectronvolts and valley-contrasting physics. Thanks to the van der Wa ...

2022

From the Principle of Inertia to the Death Drive: The Influence of the Second Law of Thermodynamics on the Freudian Theory of the Psychical Apparatus

Pierre Magistretti, Jean-Philippe Ansermet

In the Freudian theory of the psychical apparatus, the introduction from the 1920s onward of the second drive dualism appears as a major turning point. The idea of a "death drive," first expressed in Beyond the Pleasure Principle (Freud, 1920), is generall ...

Frontiers Media2020

The emergence of magnetic ordering at complex oxide interfaces tuned by defects

Paul Muralt, Vasiliki Tileli, Daesung Park, Gurpreet Singh, Jing Li, Yen-Chun Chen

Complex oxides show extreme sensitivity to structural distortions and defects, and the intricate balance of competing interactions which emerge at atomically defined interfaces may give rise to unexpected physics. In the interfaces of non-magnetic complex ...

Nature Research2020

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 ...

American Physical Society2019

FCC Physics Opportunities: Future Circular Collider Conceptual Design Report Volume 1

Pierluigi Bruzzone, Jan Steggemann, Elena Graverini, Jean-Michel Sallese, Thomas Rizzo, Luca Rossi, Rui Ning Wang, Fabio Avino, Xavier Buffat, Tatiana Pieloni

We review the physics opportunities of the Future Circular Collider, covering its e(+)e(-), pp, ep and heavy ion programmes. We describe the measurement capabilities of each FCC component, addressing the study of electroweak, Higgs and strong interactions, ...

2019

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

Preparation and commissioning of LHCb for the Run II of LHC

The LHCb experiment has performed very well during the Run I of the LHC, producing a large number of relevant physics results on a wide range of topics. The preparation and commissioning of the LHCb experiment for Run II is discussed here, with special emp ...

Elsevier Science Bv2016

Physics-Inspired Methods for Networking and Communications

Rüdiger Urbanke

Advances in statistical physics relating to our understanding of large-scale complex systems have recently been successfully applied in the context of communication networks. Statistical mechanics methods can be used to decompose global system behavior int ...

Ieee-Inst Electrical Electronics Engineers Inc2014