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Communications Physics first year anniversary collection
Communications Physics published its first articles on February 22, 2018. In this collection, our editors highlight some of their favorite papers from our first year of publishing. This collection also includes Review and Comment articles published during our first year. Our selected papers celebrate the diversity of our content across physics.
Finally, we link to some of our favourite 'Behind the Paper' posts published by our authors on Nature Research community sites.
About Communications Physics
Communications Physics is an open access journal from Nature Research publishing high-quality research, reviews and commentary in all areas of physics. Research papers published by the journal represent significant advances bringing new insight to a specialized area of research. Read more about the journal here.
About the editors
Communications Physics is edited by both in-house professional editors and academic Editorial Board Members. Our editors work closely together to ensure the quality of our published papers and consistency in author experience.
Photoemission from nanostructures has raised considerable interest in recent years. The authors propose a low-budget scheme for multiphoton photemission with a continuous-wave laser that may inspire design of accessible nanoscale coherent electron sources.
Ultrasound-driven encapsulated microbubbles show great promise as convenient transport vehicles for local drug delivery. This manuscript reports the development of a theoretical framework validated by experiments for understanding the role of non-spherical oscillations in ultrasound-mediated release of a drug payload from targeted microbubbles.
Skyrmions are magnetic topological features which are expected to play an important role in future data storage and information processing devices. The authors outline a theoretical method to calculate the size and wall width of an isolated skyrmion.
There are many different types of superconducting phases each with unique properties and mechanisms behind their superconductivity. The authors investigate a type of superconductor called an Ising superconductor and demonstrate that by application of a magnetic field they can be driven into a nodal superconducting phase.
The discovery of topological insulators has given rise to a flourishing field dedicated to the investigation of the topological state of matter. This manuscript contributes to this field by introducing the idea of a topoelectrical circuit, whereby an assembly of conventional circuit elements realises various topological band structures.
A crumpled sheet of paper is a common image in many contexts but crumpling dynamics are considered a complex problem. Using Mylar sheets the authors experimentally show that the evolution of the damage network in crumpling dynamics is largely history independent and the accumulation rate of the total length of all creases can be accurately predicted.
Machine learning techniques are increasingly expanding their capabilities of making predictions on data across a variety of fields. The authors present a machine learning based approach capable of classifying the three-dimensional spatial electromagnetic field distributions of photonic crystals.
Current photoacoustic reporter gene imaging techniques require multiwavelength excitation and complex computational methods. The study presents a simple experimental alternative using a photoswitchable reporter protein and dualwavelength signal acquisition that is applicable to a wide range of in vivo photoacoustic imaging systems.
Communications Physics celebrates its first year anniversary of publishing research advances across the physical sciences. We take this opportunity to look back at what we achieved so far and our ambitions for the future.
For both fundamental and applied sciences topological states of matter is an area of intense research and most investigations are dedicated to realizing these materials using electronic and optical methods. Here the authors review recent efforts in a third avenue of research which seeks to emulate topological states using acoustics.