A dimensionless capillary capture parameter C = max(Fx_γ + μ Fz_γ)/(μ Fp) predicts whether a drop captures or redeposits a particle across wettability and friction regimes.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Simulations show that cooperative outcomes in network games with personality-driven LLM agents depend on both network connectivity and the placement of pro-social personalities, not just pairwise interaction preferences.
citing papers explorer
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ChargeBD: Character-Aware Heterogeneous Agent Reasoning for Guided Engineering in Battery Development
A dimensionless capillary capture parameter C = max(Fx_γ + μ Fz_γ)/(μ Fp) predicts whether a drop captures or redeposits a particle across wettability and friction regimes.
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NetworkGames: Simulating Cooperation in Network Games with Personality-driven LLM Agents
Simulations show that cooperative outcomes in network games with personality-driven LLM agents depend on both network connectivity and the placement of pro-social personalities, not just pairwise interaction preferences.