Evidence of Galaxy Cluster Rotation and Intrahalo Gas Motions in the Cosmic Microwave Background
Planck CMB temperature data (blue to red spans 100~$\mu$K) from 25 galaxy clusters showing a dipole signal from rotating intracluster gas. Selected for an Editors’ Suggestion.
Samuel Goldstein and J. Colin Hill
Phys. Rev. Lett. 137, 161001 (2026)
Topological Flowscape Reveals State Transitions in Nonreciprocal Living Matter
Characterizing living systems far from the thermodynamic limit can yield insight into the physics of nonreciprocity and biological self-organization.
Hyunseok Lee et al.
Phys. Rev. X 16, 031061 (2026)
Tip-enhanced molecular fluorescence microscopy with atomic-scale resolution
Scanning probe techniques have transformed our ability to study materials at the atomic scale, providing atom-by-atom views of surfaces. Tip-enhanced molecular fluorescence microscopy combines scanning probes with optical fluorescence. Such optical techniques normally have spatial resolution limited by the wavelength of the light used. However, using the scanning tip itself as a nanoscale optical antenna confines the electromagnetic field to the tip apex, achieving superresolution down to the atomic scale. Fluorescence is a fundamental probe of materials that reveals electronic structure and vibronic properties by exciting electrons to higher levels and observing the photons emitted when they relax. These capabilities are of particular interest for studying and identifying molecules, submolecular structures, and their reactions. This review discusses the techniques of tip-enhanced molecular fluorescence microscopy and the new insights they have revealed.
Anna Rosławska et al.
Rev. Mod. Phys. 98, 025007 (2026)
Carbon Capture, Utilization, and Storage
This Collection showcases the latest advances and ideas in carbon capture, utilization, and storage, including modeling, materials- and chemistry-based research, techno-economic analysis, and more.
Physics and Control of Energy Systems
This collection from PRX Energy showcases physics-informed methods for energy systems, with an emphasis on control, optimization, reliability, and resilience under uncertainty.
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