Tootfinder

Escaping cosmology's failling paradigm | BjŸrn Ekeberg and Louis Marmet » IAI TV
https://iai.tv/articles/escaping-cosmologys-failing-paradigm-auid-1964?_auid=2020

Reversible single-pulse laser-induced phase change of Sb$_2$S$_3$ thin films: multi-physics modeling and experimental demonstrations
Capucine Laprais, Cl\'ement Zrounba, Julien Bouvier, Nicholas Blanchard, Matthieu Bugnet, Yael Guti\'errez, Saul Vazquez-Miranda, Shirly Espinoza, Peter Thiesen, Romain Bourrellier, Aziz Benamrouche, Nicolas Baboux, Guillaume Saint-Girons, Lotfi Berguiga, S\'ebastien Cueff

Reversible single-pulse laser-induced phase change of Sb$_2$S$_3$ thin films: multi-physics modeling and experimental demonstrations
Phase change materials (PCMs) have gained a tremendous interest as a means to actively tune nanophotonic devices through the large optical modulation produced by their amorphous to crystalline reversible transition. Recently, materials such as Sb$_2$S$_3$ emerged as particularly promising low loss PCMs, with both large refractive index modulations and transparency in the visible and NIR. Controlling the local and reversible phase transition in this material is of major importance for future app…

Praia do Barill, Tavira, Portugal 2012 (official naturist beach)
me, having fun :-)
#meermittwoch

Letter to the Person Who Carved His Initials into the Oldest Living Longleaf Pine in North America
by Matthew Olzmann
Tell me what it’s like to live without
curiosity, without awe. To sail
on clear water, rolling your eyes
at the kelp reefs swaying
beneath you, ignoring the flicker
of mermaid scales in the mist,
looking at the world and feeling
only boredom. To stand
on the precipice of some wild valley,
the eagles circling, a herd of…

Meta-plasticity and memory in multi-level recurrent feed-forward networks
Gianmarco Zanardi, Paolo Bettotti, Jules Morand, Lorenzo Pavesi, Luca Tubiana
https://arxiv.org/abs/2403.13967

Meta-plasticity and memory in multi-level recurrent feed-forward networks
Network systems can exhibit memory effects in which the interactions between different pairs of nodes adapt in time, leading to the emergence of preferred connections, patterns, and sub-networks. To a first approximation, this memory can be modelled through a ``plastic'' Hebbian or homophily mechanism, in which edges get reinforced proportionally to the amount of information flowing through them. However, recent studies on glia-neuron networks have highlighted how memory can evolve due to more …