Tootfinder

Stromversorgung von AKW Saporischschja wird wiederhergestellt
Nach Angaben der Internationalen Atomenergiebehörde (IAEA) beginnt der Prozess zur Wiederherstellung der externen Stromversorgung des von Russland kontrollierten Atomkraftwerks Saporischschja. Dies sei nach intensiven Konsultationen mit den Behörden in der Ukraine und Russland erfolgt, erklärte IAEA-Generaldirektor Rafael Grossi.
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Ukraine wirft Russland Sabotage am AKW Saporischschja vor
Das Atomkraftwerk Saporischschja ist seit über zehn Tagen ohne Stromversorgung von außen. Ukrainische Experten werfen Russland vor, die Abkoppelung vom ukrainischen Netz absichtlich herbeigeführt zu haben.

Quantization of the electromagnetic fields from single atomic or molecular radiators
Valerica Raicu
https://arxiv.org/abs/2509.07359 https://arxiv.org/pdf/…

Quantization of the electromagnetic fields from single atomic or molecular radiators
A framework is introduced for expressing electromagnetic (EM) potentials and fields of single atomic or molecular emitters modeled as oscillating dipoles, which follows a recently proposed method for solving inhomogeneous wave equations for arbitrary, time-dependent distributions of charge. This framework is first used to evaluate the physical implications of simplifying assumptions made in the standard approach to quantization of the EM fields and the impact of such assumptions on the results …

3D Mapping of Defects and Moir\'e Corrugations via Electron Ptychography Atomic Coordinate Retrieval
Jeffrey Huang, Yichao Zhang, Sang hyun Bae, Ballal Ahammed, Elif Ertekin, Pinshane Y. Huang
https://arxiv.org/abs/2509.07140

3D Mapping of Defects and Moiré Corrugations via Electron Ptychography Atomic Coordinate Retrieval
Defects and reconstructions in 2D moiré materials cause out-of-plane deformations which strongly modify their electronic properties but are difficult to experimentally access. Here, we solve the 3D atomic coordinates of twisted bilayer WSe$_2$ with picometer-scale accuracy using multislice electron ptychography (MEP) acquired from a single orientation. The resulting atomic models individually visualize each of the six atomic planes, revealing the curvature of each WSe$_2$ layer, variations in …

from my link log —
Indexing JSONB in PostgreSQL.
https://www.crunchydata.com/blog/indexing-jsonb-in-postgres
saved 2025-08-21

Indexing JSONB in Postgres | Crunchy Data Blog
Level up with JSONB by adding GIN indexes. Also review when not to use a GIN index and how to leverage expression indexes.

Topological robustness of classical and quantum optical skyrmions in atmospheric turbulence
Zhenyu Guo, Cade Peters, Nilo Mata-Cervera, Anton Vetlugin, Ruixiang Guo, Pei Zhang, Andrew Forbes, Yijie Shen
https://arxiv.org/abs/2509.05727

Topological robustness of classical and quantum optical skyrmions in atmospheric turbulence
The degradation of classical and quantum structured light induced by complex media constitutes a critical barrier to its practical implementation in a range of applications, from communication and energy transport to imaging and sensing. Atmospheric turbulence is an exemplary case due to its complex phase structure and dynamic variations, driving the need to find invariances in light. Here we construct classical and quantum optical skyrmions and pass them through experimentally simulated atmosp…

Observation of the influence of anomalous tunneling on collective excitations using a cloud-accessible experiment platform of Bose-Einstein condensates
Daichi Kagamihara, Hironori Kazuta, Yewei Wu, Noah Fitch, Ippei Danshita
https://arxiv.org/abs/2509.06254

Observation of the influence of anomalous tunneling on collective excitations using a cloud-accessible experiment platform of Bose-Einstein condensates
Recent development of cloud-based experiment platforms has allowed physicists to examine theoretical concepts with unprecedented convenience. Oqtant is a cloud-accessible platform for trapped Bose-Einstein Condensates (BECs) of neutral atomic gases, providing an invaluable experimental tool for studying the dynamics of BECs. Anomalous tunneling, which means low-energy phonon excitations of BECs easily transmit through a barrier potential, has been theoretically predicted as a characteristic phe…

When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
Arindam Chowdhury, Massimiliano Lupo Pasini
https://arxiv.org/abs/2510.05583 https://

When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
Graph neural networks (GNNs) are widely used as surrogates for costly experiments and first-principles simulations to study the behavior of compounds at atomistic scale, and their architectural complexity is constantly increasing to enable the modeling of complex physics. While most recent GNNs combine more traditional message passing neural networks (MPNNs) layers to model short-range interactions with more advanced graph transformers (GTs) with global attention mechanisms to model long-range …

Urban Plantations ? 🟩
都市植被？🟩
📷 Pentax MX
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Simulation-based inference for neutrino interaction model parameter tuning
Karla Tame-Narvaez, Aleksandra \'Ciprijanovi\'c, Steven Gardiner, Giuseppe Cerati
https://arxiv.org/abs/2510.07454

Simulation-based inference for neutrino interaction model parameter tuning
High-energy physics experiments studying neutrinos rely heavily on simulations of their interactions with atomic nuclei. Limitations in the theoretical understanding of these interactions typically necessitate ad hoc tuning of simulation model parameters to data. Traditional tuning methods for neutrino experiments have largely relied on simple algorithms for numerical optimization. While adequate for the modest goals of initial efforts, the complexity of future neutrino tuning campaigns is expe…

Autonomous interpretation of atomistic scattering data
Andy S. Anker, John L. A. Gardner, Louise A. M. Rosset, Andrew L. Goodwin, Volker L. Deringer
https://arxiv.org/abs/2510.05938

Autonomous interpretation of atomistic scattering data
Materials with bespoke properties have long been identified by computational searches, and their experimental realisation is now coming within reach through autonomous laboratories. Scattering experiments are central to verifying the atomic structures of autonomously synthesised materials. Yet, interpreting these measurements typically requires user expertise and manual processing, or machine learning (ML) models trained on predefined datasets, limiting fully autonomous materials discovery. Her…