Springer Nature Editor
From the Editors

Meet our authors from Japan

Meet our authors from the Institute for Nano Quantum Information Electronics of the University of Tokyo in this video interview with us
Go to the profile of Elena Belsole
Elena Belsole
Chief Editor, Springer Nature
Like
Go to the profile of Ben Johnson
Go to the profile of Ruth Milne
Go to the profile of Selina La Barbera

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

Share with...

...or copy the link

This is a representation of how your post may appear on social media. The actual post will vary between social networks

In this video, three of our authors: Prof. Yasutomo Ota, Prof. Satoshi Iwamoto, and Prof. Yasuhiko Arakawa tell us about their study recently published in Communications Physics,  Topological photonic crystal nanocavity laser. In their interview with us they tell us why they chose the journal and how a technology originally used for phonons has been implemented for new developments in photonic crystals. In the video they also showcase some of the laboratory equipment used for their experiment, something that is generally not presented in a written article.  Watch the video to meet the authors and learn more about their research. The video is in Japanese with English subtitles


Go to the profile of Elena Belsole
Elena Belsole
Chief Editor, Springer Nature
I joined Nature Research in July 2017 as a Chief Editor for Communications Physics, a new open access journal in the Nature Research family launched that year. Prior to joining Springer Nature I was an executive editor for New Journal of Physics. My background is in Astrophysics and Space Sciences, with a PhD from Paris VI and CEA-Saclay and postdoctoral work at Bristol and Cambridge Universities.

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Sign In Register

Follow the Topic

Electrical and Electronic Engineering
Technology and Engineering > Electrical and Electronic Engineering

Related Collections

With Collections, you can get published faster and increase your visibility.

Non-Markovian quantum dynamics in physical systems: description and control

This collection aims to gather the latest approaches to characterize and quantify quantum non-Markovianity and to exploit it in practical applications

Publishing Model: Open Access

Deadline: Dec 31, 2025

Explore this Collection

Physics-Informed Machine Learning

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

Publishing Model: Hybrid

Deadline: May 31, 2026

Explore this Collection

Latest Content

Cookies

We use cookies to ensure the functionality of our website, to personalize content and advertising, to provide social media features, and to analyze our traffic. If you allow us to do so, we also inform our social media, advertising and analysis partners about your use of our website. You can decide for yourself which categories you want to deny or allow. Please note that based on your settings not all functionalities of the site are available.

Further information can be found in our privacy policy.

Cookie Control

Customise your preferences for any tracking technology

The following allows you to customize your consent preferences for any tracking technology used to help us achieve the features and activities described below. To learn more about how these trackers help us and how they work, refer to the cookie policy. You may review and change your preferences at any time.

See the full cookie policy See the full privacy policy
More information

These trackers are used for activities that are strictly necessary to operate or deliver the service you requested from us and, therefore, do not require you to consent.

More information

These trackers help us to deliver personalized marketing content and to operate, serve and track ads.

More information

These trackers help us to deliver personalized marketing content to you based on your behaviour and to operate, serve and track social advertising.

More information

These trackers help us to measure traffic and analyze your behaviour with the goal of improving our service.

More information

These trackers help us to provide a personalized user experience by improving the quality of your preference management options, and by enabling the interaction with external networks and platforms.