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to address the deployment limitations of multi-purpose robots in shared environments. Rather than a single monolithic controller, the robot is treated as a network of collaborating semi-autonomous agents (a
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optimize hardware neural networks made of approximately one hundred magnetic tunnel junctions, with radio-frequency inputs, in order to classify RF signals directly in the physical domain. Chains of magnetic
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remains largely unexplored and represents a fascinating frontier for molecular computing. The development of new methods will be necessary to enable the manipulation of data within complex molecular
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the simulation of turbulent flows using a tensor network representation of the Navier–Stokes equations. Unlike recent approaches based on tensor networks, which simulate fluid flows in physical space using finite
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the context of a PEPR project, in collaboration with eight CNRS and CEA laboratories working on the future of electrical grids. More specifically, it is linked to WP5, dedicated to cybersecurity and network
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built by sea urchins, called stereom, is an impressive example of complexity and self-organization. This structure is a micro-porous meshwork made of calcite, which bears a particular saddle-shape
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km. Preliminary results reveal a complex system featuring a high-seismic-velocity body interpreted as a potential hydrogen-generating zone (the “hydrogen kitchen”), associated with fluid-rock
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for Systems Analysis and Architecture (LAAS) within the MechaBioFluidics team, which has extensive expertise in microfluidics and microfabrication (a technology platform of the national ReNaTech network), in
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modified under the influence of an external electric field (E). Antiferroelectric materials, on the other hand, have an antipolar dipolar structure corresponding to a net polarization of zero and undergo a
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observations is a fundamental yet complex problem in geophysics. The ERC BE_FACT project (Boxing Earthquakes and Faults in Active Tectonics) aims to address this problem through laboratory experiments and