Researchers developed physics-embedded inverse learning (PEIL), which uses a fixed, differentiable physical solver to turn signal-recovery error into supervision for parameter estimation without parameter labels. In high-mobility wireless tests, PEIL generalized to unseen channel profiles and speeds without retraining and matched a parameter-supervised baseline using one twentieth as many training samples. PEIL was also used to estimate coil sensitivity maps for parallel MRI.

A research team led by faculty at the Duke Quantum Center (DQC) has observed string-breaking dynamics related to particle-antiparticle formation on a quantum simulator, one of the first in the quantum-physics field.

Researchers at the University of Stuttgart have tested a compact, flexible, and cost-effective floor slab system for multi-story timber buildings. The “UniversalTimberSlab” is scheduled to be installed soon at the “Zukunftsforum” in the German town of Oberkochen.

Announcing a new publication from Opto-Electronic Sciences; DOI   10.29026/oes.2026.260023.

Sheep grazing, rather than honey bees, could be the bigger threat to wild pollinators on Scotland’s moorlands, according to a new University of Bristol-led study. The research, published in the British Ecological Society’s Journal of Applied Ecology, has found that grazing in spring can remove much of the nectar emerging bumblebees need, while commercial honey bee hives introduced during the summer heather flowering period have a much smaller impact. 

Announcing a new publication from Opto-Electronic Sciences; DOI   10.29026/oes.2026.260029.