Introduces graph-to-image prediction of per-node dynamic stability landscapes in oscillator networks from topology, releases two 10k-graph datasets, and shows GNN-CNN models achieve good accuracy with cross-size generalization.
Climate Change 2023: Synthesis Report
4 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 4representative citing papers
Laboratory experiment finds verbal uncertainty communication leads to lower valuations of medium-to-high probability options than numerical communication, persisting even after accurate numerical translation of verbal phrases.
Simulations using German electricity data show that flexibly operating computing clusters on excess renewables can reduce carbon emissions and costs, after accounting for hardware acquisition and embedded emissions.
A framework applies logistic growth and spatial analysis to residential PV adoption data in Catalonia, identifying imitation effects and social perception as primary drivers with territorial variations.
citing papers explorer
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Learning Dynamic Stability Landscapes in Synchronization Networks
Introduces graph-to-image prediction of per-node dynamic stability landscapes in oscillator networks from topology, releases two 10k-graph datasets, and shows GNN-CNN models achieve good accuracy with cross-size generalization.
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Words or Numbers? How Framing Uncertainties Affects Risk Assessment and Decision-Making
Laboratory experiment finds verbal uncertainty communication leads to lower valuations of medium-to-high probability options than numerical communication, persisting even after accurate numerical translation of verbal phrases.
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Economical and ecological impact of sector coupling applied to computing clusters
Simulations using German electricity data show that flexibly operating computing clusters on excess renewables can reduce carbon emissions and costs, after accounting for hardware acquisition and embedded emissions.
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An Analytics Framework for Modeling Residential Photovoltaic Adoption and Decision Dynamics
A framework applies logistic growth and spatial analysis to residential PV adoption data in Catalonia, identifying imitation effects and social perception as primary drivers with territorial variations.