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                  | 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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            6.
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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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            15.
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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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            18.
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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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