Urban Demons VII 👻
城市鬼魂 VII 👻
📷 Zeiss IKON Super Ikonta 533/16
🎞️ Ilford HP5 400 Plus, expired 1993
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Urban Demons V 👻
城市鬼魂 V 👻
📷 Nikon F4E
🎞️ Rollei RPX 400
If you like my work, buy me a coffee from PayPal #filmphotography
WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs
Lisa L\"uddecke, Michael Hohmann, Sebastian Eilermann, Jan Tillmann-Mumm, Pezhman Pourabdollah, Mario Oertel, Oliver Niggemann
https://arxiv.org/abs/2602.20714 https://arxiv.org/pdf/2602.20714 https://arxiv.org/html/2602.20714
arXiv:2602.20714v1 Announce Type: new
Abstract: Reliable prediction of hydraulic performance is challenging for Piano Key Weir (PKW) design because discharge capacity depends on three-dimensional geometry and operating conditions. Surrogate models can accelerate hydraulic-structure design, but progress is limited by scarce large, well-documented datasets that jointly capture geometric variation, operating conditions, and functional performance. This study presents WeirNet, a large 3D CFD benchmark dataset for geometric surrogate modeling of PKWs. WeirNet contains 3,794 parametric, feasibility-constrained rectangular and trapezoidal PKW geometries, each scheduled at 19 discharge conditions using a consistent free-surface OpenFOAM workflow, resulting in 71,387 completed simulations that form the benchmark and with complete discharge coefficient labels. The dataset is released as multiple modalities compact parametric descriptors, watertight surface meshes and high-resolution point clouds together with standardized tasks and in-distribution and out-of-distribution splits. Representative surrogate families are benchmarked for discharge coefficient prediction. Tree-based regressors on parametric descriptors achieve the best overall accuracy, while point- and mesh-based models remain competitive and offer parameterization-agnostic inference. All surrogates evaluate in milliseconds per sample, providing orders-of-magnitude speedups over CFD runtimes. Out-of-distribution results identify geometry shift as the dominant failure mode compared to unseen discharge values, and data-efficiency experiments show diminishing returns beyond roughly 60% of the training data. By publicly releasing the dataset together with simulation setups and evaluation pipelines, WeirNet establishes a reproducible framework for data-driven hydraulic modeling and enables faster exploration of PKW designs during the early stages of hydraulic planning.
toXiv_bot_toot
Normal Computing, which uses AI to help chip companies design chips more efficiently, raised $50M led by Samsung Catalyst and says it has 5 top chip clients (Sharon Goldman/Fortune)
https://fortune.com/2026/03/25/normal-computing…
Urban Demons III 👻
城市鬼魂 III 👻
📷 Nikon F4E
🎞️ Rollei RPX 400
If you like my work, buy me a coffee from PayPal #filmphotography
Finally, Volkswagen is launching a V2G tariff in Germany. It is now scheduled for launch in Q4 2026.
Although Volkswagen was the first German car manufacturer to release bidirectional charging functionality in their vehicles, they are now behind BMW, Mercedes and Ford (whose EVs use VW technology) in terms of announcing an actual charger and tariff bundle.
Last minute decision to go to philharmonic last night for Shostakovich. Was delighted with Miguel del Águila’s “Concierto en Tango” for cello (commissioned by BPO in 2014).
History: https://interlude.hk/the-less-classical-cello-concerto-miguel-de…
Stolen to add #AltText. https://mstdn.social/@GeriAQuin/116400031496819346
Sources: several tech companies, including OpenAI, are encouraging the DOD behind the scenes to back away from designating Anthropic a "supply chain risk" (Mike Isaac/New York Times)
https://www.nytimes.…
Urban Demons IV 👻
城市鬼魂 IV 👻
📷 Zeiss IKON Super Ikonta 533/16
🎞️ Ilford HP5 400 Plus, expired 1993
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