An empirically calibrated shipping model shows rerouting reduces some immediate port losses but raises cumulative arrival shortfalls that grow with closure duration, at 3.0% per day for Suez and 7.7% for triple chokepoint closures.
Unveiling individual and collective temporal patterns in the tanker shipping network.Nature Communications, 17:3300, 2026
2 Pith papers cite this work. Polarity classification is still indexing.
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SevenNet-Nano is a lightweight universal ML interatomic potential distilled from a larger multi-task foundation model, delivering high accuracy, transferability, and over 10x computational speedup for scalable atomistic simulations.
citing papers explorer
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Adaptive rerouting reshapes impacts of maritime chokepoint disruptions
An empirically calibrated shipping model shows rerouting reduces some immediate port losses but raises cumulative arrival shortfalls that grow with closure duration, at 3.0% per day for Suez and 7.7% for triple chokepoint closures.
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A Lightweight Universal Machine-Learning Interatomic Potential via Knowledge Distillation for Scalable Atomistic Simulations
SevenNet-Nano is a lightweight universal ML interatomic potential distilled from a larger multi-task foundation model, delivering high accuracy, transferability, and over 10x computational speedup for scalable atomistic simulations.