A multilinear operator learned on PCA coefficients maps time-since-ignition inputs to smoke outputs, matching Monte Carlo accuracy with half the model calls and outperforming prior classifiers on holdout data.
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10 Pith papers cite this work. Polarity classification is still indexing.
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cs.LG 2 physics.ao-ph 2 astro-ph.EP 1 cs.CL 1 cs.HC 1 physics.chem-ph 1 physics.comp-ph 1 physics.plasm-ph 1years
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Turbulence accelerates droplet collisions in developing clouds, causing earlier onset of precipitation at the ground and larger first raindrops than in non-turbulent cases.
Contextual language embeddings exhibit a robust 5/3 power-law spectrum in token-sequence fluctuations, analogous to Kolmogorov turbulence.
AIMIP Phase 1 shows AI models simulate historical climate and El Niño responses as well as traditional models, though some underestimate trends and diverge in generalization tests, with a public dataset released for further checks.
Benzene reacts with HCN via 1,4-cycloaddition and C2H2 loss to yield pyrimidine, which then forms purine with NH3 and HCN, as shown by quantum calculations and modeled for cold dry Mars conditions.
Direction-averaging shows polar and azimuthal dependence but is insensitive to spacecraft configuration, while LPDE depends strongly on separation and tetrahedral shape but is insensitive to sampling trajectory.
SGED-TCD is a lag-resolved causal discovery framework that uses structural gating and perturbation-effect alignment to infer interpretable weighted causal networks from complex time series, shown on heat-pollution extremes in China.
AI/ML weather tools face integration challenges from mismatched 'regimes of scale' in how data and models are organized compared to traditional meteorology practices.
DeepONet surrogate model accurately predicts wave-induced radiation stress and wave heights in steady-state simulations as a replacement for the SWAN numerical model.
The paper reviews physical processes, modeling techniques, retrieval methods, and observational strategies for characterizing exoplanet atmospheres, emphasizing Swiss research progress.
citing papers explorer
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Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operators
A multilinear operator learned on PCA coefficients maps time-since-ignition inputs to smoke outputs, matching Monte Carlo accuracy with half the model calls and outperforming prior classifiers on holdout data.
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Direct Lagrangian tracking simulation of droplet growth in vertically-developing turbulent cloud
Turbulence accelerates droplet collisions in developing clouds, causing earlier onset of precipitation at the ground and larger first raindrops than in non-turbulent cases.
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Turbulence-like 5/3 spectral scaling in contextual representations of language as a complex system
Contextual language embeddings exhibit a robust 5/3 power-law spectrum in token-sequence fluctuations, analogous to Kolmogorov turbulence.
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AIMIP Phase 1: systematic evaluations of AI weather and climate models
AIMIP Phase 1 shows AI models simulate historical climate and El Niño responses as well as traditional models, though some underestimate trends and diverge in generalization tests, with a public dataset released for further checks.
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Novel Chemical Pathways for the Formation of Nucleobase Precursors via Benzene {\pi}-Bond Addition to HCN
Benzene reacts with HCN via 1,4-cycloaddition and C2H2 loss to yield pyrimidine, which then forms purine with NH3 and HCN, as shown by quantum calculations and modeled for cold dry Mars conditions.
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Inertial-Range Energy Transfer Free from Isotropic Assumption in Turbulent Space Plasma1
Direction-averaging shows polar and azimuthal dependence but is insensitive to spacecraft configuration, while LPDE depends strongly on separation and tetrahedral shape but is insensitive to sampling trajectory.
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Structural Gating and Effect-aligned Lag-resolved Temporal Causal Discovery Framework with Application to Heat-Pollution Extremes
SGED-TCD is a lag-resolved causal discovery framework that uses structural gating and perturbation-effect alignment to infer interpretable weighted causal networks from complex time series, shown on heat-pollution extremes in China.
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Regimes of Scale in AI Meteorology
AI/ML weather tools face integration challenges from mismatched 'regimes of scale' in how data and models are organized compared to traditional meteorology practices.
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Operator Learning for Surrogate Modeling of Wave-Induced Forces from Sea Surface Waves
DeepONet surrogate model accurately predicts wave-induced radiation stress and wave heights in steady-state simulations as a replacement for the SWAN numerical model.
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NCCR PlanetS: Observational and computational characterization of exoplanet atmospheres
The paper reviews physical processes, modeling techniques, retrieval methods, and observational strategies for characterizing exoplanet atmospheres, emphasizing Swiss research progress.