Calls for papers

This Focus Collection in Communications Physics invites original research, perspectives, and review articles highlighting theory, simulations, experiments, and data-driven models that converge on measurable, designable odd responses in soft systems.

This Collection aims to bring together research from diverse aspects of physical biology, focusing on the interplay of physical laws and bacterial behaviour and physiology.

This cross-journal Collection between Communications Physics, Nature Communications and Scientific Reports brings together the advances in Crystal polymorphism in Soft and Functional Materials.

Communications Physics invites translational and pioneering work that describes the evolving capabilities in QKD and sets the stage for applications of quantum networking and distributed quantum technologies. Looking beyond the UNESCO International Year of Quantum Technologies, we hope to curate a cross-section of state-of-the-art research that showcases the rapid development of the quantum networking stack and its applications.

This collection aims to showcase the current theoretical understanding and experimental progress in ultrafast magnetisation.

This cross-journal collection born in collaboration between Communications Physics, Nature Communications and Scientific Reports explores recent progress in high-energy light sources, from from tabletop to large scale facilities.

This focus collection in Communications Physics invites significant original research, perspectives, and review articles on the geometry of soft systems.

With this cross-journal Collection, the editors at Nature Communications, Communications Physics and Scientific Reports invite manuscripts that advance the fundamental physics of CMOS-compatible semiconductor qubits, tackle scalability issues, and showcase practical applications in quantum computing, communication, and simulation.

This cross-journal Collection between Nature Communications, Nature Computational Science, Communications Physics, and Scientific Reports brings together the advances in Physics-Informed Machine Learning.

This collection in Communications Physics aims to highlight recent progress in quantum technologies and computing for high-energy particle physics, bringing together contributions from quantum simulation, quantum algorithms and quantum sensing.