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heise | Python-Grundlagen: Wie Sie for-Schleifen richtig einsetzen
for-Schleifen gehören zu den grundlegenden Konzepten in der Programmierung. Richtig eingesetzt sparen sie sehr viele Codezeilen.
h…

Faxgeräte in Rente: Die Geräte haben in vielen Unternehmen ausgedient! 📠 Laut einer aktuellen Bitkom-Umfrage nutzt nicht mal mehr jedes fünfte Unternehmen in Deutschland regelmäßig ein Fax.
Zum Artikel: https://heise.de/-10425507?wt_mc=sm.re…

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations
Elmira Mirzabeigi, Rezvan Salehi, Kourosh Parand
https://arxiv.org/abs/2506.04354

BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations
BridgeNet is a novel hybrid framework that integrates convolutional neural networks with physics-informed neural networks to efficiently solve non-linear, high-dimensional Fokker-Planck equations (FPEs). Traditional PINNs, which typically rely on fully connected architectures, often struggle to capture complex spatial hierarchies and enforce intricate boundary conditions. In contrast, BridgeNet leverages adaptive CNN layers for effective local feature extraction and incorporates a dynamically w…

This https://arxiv.org/abs/2505.19036 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Weak Physics Informed Neural Networks for Geometry Compatible Hyperbolic Conservation Laws on Manifolds
Physics-informed neural networks (PINNs), owing to their mesh-free nature, offer a powerful approach for solving high-dimensional partial differential equations (PDEs) in complex geometries, including irregular domains. This capability effectively circumvents the challenges of mesh generation that traditional numerical methods face in high-dimensional or geometrically intricate settings. While recent studies have extended PINNs to manifolds, the theoretical foundations remain scarce. Existing t…

Visual mental imagery and #aphantasia lesions map onto a convergent brain network https://www.medrxiv.org/content/10.1101/2025.05.23.25328072v1 by @…

Visual Mental Imagery and Aphantasia Lesions Map onto a Convergent Brain Network
Background Visual mental imagery, the ability to volitionally form perceptual representations without corresponding external stimuli, allows reliving of past events, solving problems and imagining the future. The absence of visual mental imagery, called aphantasia, has recently been recognized to occur in about 1% of the general population but the cause is uncertain. By studying rare cases of acquired aphantasia we can identify regions that when injured cause loss of visual mental imagery. Met…

High-pressure Induced Phase Transition and Laser Characterization Response of MAPbBr$_3$ Thin Films
Xin Tang, Ruilin Li, Shuaiqi Li, Dingke Zhang
https://arxiv.org/abs/2506.03499 …

High-pressure Induced Phase Transition and Laser Characterization Response of MAPbBr3 Thin Films
The high-pressure behavior of 3D metal halide chalcogenides (MHPs) has been widely studied. In the field of high-pressure technology, the studies on 3D MHPs have focused on the structural and optical properties, where the optical properties are mainly investigated on the photoluminescence behavior, while the laser properties of the materials have not been studied yet. In this paper, MAPbBr3-MAAc films with ionic liquid methylammonium acetate (MAAc) as solvent and conventional MAPbBr3-DMF:DMSO f…

This https://arxiv.org/abs/2505.01214 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

A Warm-start QAOA based approach using a swap-based mixer for the TSP: theoretical considerations,implementation and experiments
This paper investigates quantum heuristics based on Mixer Hamiltonians, which allow the search to be restricted to a specific subspace and enable warm-start strategies for solving the Traveling Salesman Problem (TSP). Approaches involving Mixer Hamiltonians can be integrated into the Quantum Approximate Optimization Algorithm (QAOA), where the Mixer acts as a mapping function that transforms qubit strings into feasible solution sets. We first introduce a swap-based mixer tailored to the TSP, wh…

Sonnet 154 - CLIV
The little Love-god lying once asleep,
Laid by his side his heart-inflaming brand,
Whilst many nymphs that vowed chaste life to keep
Came tripping by; but in her maiden hand
The fairest votary took up that fire
Which many legions of true hearts had warmed;
And so the General of hot desire
Was, sleeping, by a virgin hand disarmed.
This brand she quenched in a cool well by,
Which from Love's fire took heat perpet…

Umfrage: Vier von fünf Unternehmen nutzen kein Fax mehr
Die hohe Nutzung von Fax-Geräten in Deutschland war jahrelang ein Symbol für die schleppende Digitalisierung. Doch jetzt verschwinden die Kommunikations-Dinos.

A Fast, Accurate and Oscillation-free Spectral Collocation Solver for High-dimensional Transport Problems
Nicola Cavallini, Gianmarco Manzini, Daniele Funaro, Andrea Favalli
https://arxiv.org/abs/2506.04732

A Fast, Accurate and Oscillation-free Spectral Collocation Solver for High-dimensional Transport Problems
Transport phenomena-describing the movement of particles, energy, or other physical quantities-are fundamental in various scientific disciplines, including nuclear physics, plasma physics, astrophysics, engineering, and the natural sciences. However, solving the associated seven-dimensional transport equations poses a significant computational challenge due to the curse of dimensionality. We introduce the Tensor Train Superconsistent Spectral (T${^2}$S${^2}$) solver to address this challeng…