Soglie di voci attorno all’increabile. Il lavoro del Negativo nella scrittura di Franz Kafka e Samuel Beckett

Autor: Francesco Clerici

Publikováno v: Altre Modernità, Vol 0, Iss 0, Pp 145-162 (2018)

The paper proposes a comparative analysis of the question of limit in its connections with the work of the Negative (Le Travail du négatif, A. Green) in two great proses of the 20th Century: Samuel Beckett's Company (1980) and Franz Kafka's Der Bau

Externí odkaz: https://doaj.org/article/902335aa21fa47ebbfd71054ace950bf

Coupled adjoint solver and turbulent error estimate for anisotropic mesh adaptation for high-fidelity RANS simulations

Autor: Francesco Clerici, Philippe Spalart, Frederic Alauzet

Publikováno v: AIAA SCITECH 2022 Forum.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f5820dff0f5ac34d0419f9183cd3a267
https://doi.org/10.2514/6.2022-1243

Some progress on CFD high lift prediction using metric-based anisotropic mesh adaptation

Autor: Frederic Alauzet, Francesco Clerici, Adrien Loseille, Cosimo Tarsia-Morisco, Julien Vanharen

Publikováno v: AIAA SCITECH 2022 Forum
AIAA SCITECH 2022-Forum
AIAA SCITECH 2022-Forum, American Institute of Aeronautics and Astronautics, Jan 2022, San Diego, United States. pp.0388, ⟨10.2514/6.2022-0388⟩

International audience; This papers points out some weaknesses of the solution-adapted process. They have been solved by improving the Newton's method of the flow solver enabling convergence to machine zero at each run of the solution adaptive proces

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6630ac50dcff3efa22f7c9b6e4e89b37
https://hal.science/hal-03542592

Adjoint Computation on Anisotropic Meshes in High-fidelity RANS Simulations

Autor: Frédéric Alauzet, Francesco Clerici

Publikováno v: Lecture Notes in Computational Science and Engineering ISBN: 9783030767976

In the context of high-fidelity RANS simulation, anisotropic mesh adaptation turns out to be an excellent tool to get mesh-independent solutions on complex geometries. In particular, anisotropic mesh adaptation is used to predict accurately dimension

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e272d72c3f04dde394faf9271af49803
https://doi.org/10.1007/978-3-030-76798-3_9

Anisotropic Adapted Meshes for Image Segmentation: Application to Three-Dimensional Medical Data

Autor: Francesco Clerici, Erika Negrello, Stefania Marconi, Stefano Micheletti, Nicola Ferro, Simona Perotto

This work focuses on a variational approach to image segmentation based on the Ambrosio--Tortorelli functional. We propose an efficient algorithm, which combines the functional minimization with a ...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adc8c1047088a9db439403af0eaeac8f
http://hdl.handle.net/11311/1157526