2025-10-29 05:00 |
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Exploring the magnetic landscape of easily-exfoliable two-dimensional materials
/ Haddadi, Fatemeh (Ecole Polytechnique, Lausanne) ; Campi, Davide (Milan Bicocca U.) ; Santos, Flaviano dos (PSI, Villigen ; Ecole Polytechnique, Lausanne) ; Mounet, Nicolas (Ecole Polytechnique, Lausanne ; CERN) ; Ponet, Louis (Ecole Polytechnique, Lausanne) ; Marzari, Nicola (Ecole Polytechnique, Lausanne) ; Gibertini, Marco (U. Modena (main) ; Neuroscience Institute, Italy)
Magnetic materials often exhibit complex energy landscapes with multiple local minima, each corresponding to a self-consistent electronic structure solution. [...]
arXiv:2509.09531.
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2025-10-29 04:59 |
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A Dynamic Energy-Based Hysteresis Model for Pulsed-Operated Fast-Ramping Magnets
/ Moll, Dominik (Darmstadt, Tech. U.) ; D'Angelo, Laura A.M. (Darmstadt, Tech. U.) ; De Gersem, Herbert (Darmstadt, Tech. U.) ; Boattini, Fulvio (CERN) ; Bottura, Luca (CERN) ; Gast, Marco (KIT, Karlsruhe)
Due to the strongly nonlinear behavior of ferromagnetic yokes, the numerical analysis of fast-ramping magnets is highly cumbersome and, therefore, in practice overly simplified by means of anhysteretic material descriptions and a posteriori loss formulae. [...]
arXiv:2509.04115.
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2025-10-29 04:37 |
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2025-10-28 06:13 |
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2025-10-28 05:00 |
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TeraAgent: A Distributed Agent-Based Simulation Engine for Simulating Half a Trillion Agents
/ Breitwieser, Lukas (ETH, Zurich (main)) ; Hesam, Ahmad (Delft Tech. U.) ; Yağlıkçı, Abdullah Giray (ETH, Zurich (main)) ; Sadrosadati, Mohammad (ETH, Zurich (main)) ; Rademakers, Fons (CERN) ; Mutlu, Onur (ETH, Zurich (main))
Agent-based simulation is an indispensable paradigm for studying complex systems. [...]
arXiv:2509.24063.
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2025-10-28 05:00 |
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Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI
/ Giusti, Lorenzo (CERN) ; Werner, Ole Anton (CERN) ; Taiello, Riccardo (CERN) ; Costa, Matilde Carvalho (CERN) ; Tosun, Emre (CERN) ; Protani, Andrea (CERN) ; Molina, Marc (CERN) ; de Almeida, Rodrigo Lopes (CERN) ; Cacace, Paolo (CERN) ; Santos, Diogo Reis (CERN) et al.
We present Federation of Agents (FoA), a distributed orchestration framework that transforms static multi-agent coordination into dynamic, capability-driven collaboration. [...]
arXiv:2509.20175.
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2025-10-27 19:43 |
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2025-10-27 17:35 |
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2025-10-25 09:48 |
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2025-10-25 09:47 |
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