physics.app-ph · 2026-06-02 · No. 13

Applied Physics, 2026-06-02.

1 new papers in physics.app-ph. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Uncertainty-Aware Graph Neural Reconstruction of Urban Temperature Fields from Sparse Sensors under Deployment Constraints

    Reda Snaiki, Abdelatif Merabtine

    physics.app-ph · cs.LG

    Reconstructing spatially continuous daily temperature fields from sparse observations is important for urban climate monitoring and heat-risk analysis, but practical deployments are limited by sensor budgets and spacing constraints. This study proposes an uncertainty-aware graph neural network (GNN) framework for reconstructing daily maximum temperature fields from sparse sensors while supporting distance-constrained sensor placement and...

    arxiv.org/abs/2606.02038 · PDF

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