AZONANO

AZoNano educates and informs a worldwide audience of researchers, engineers and scientists with the latest industry news, information and insights from the Nanotechnology industry.

Micromachines - MDPI Open Access Journal

Micromachines (ISSN 2072-666X) is an international, peer-reviewed, open access journal, which provides an advanced forum for studies on micro/nano-scaled structures, materials, devices and systems. The journal publishes reviews, original research articles, and communications in this field.

MDPI Sensors Journal

Sensors (ISSN 1424-8220; CODEN: SENSC9) is the leading international peer-reviewed open access journal on the science and technology of sensors.

Sensors provides an advanced forum for the science and technology of sensor and its applications. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. The full experimental details must be provided so that the results can be reproduced. There are, in addition, three unique features of this journal:

• Manuscripts regarding research proposals and research ideas are particularly welcome.
• Electronic files and software providing full details of calculation and experimental procedures can be deposited as supplementary material.
• We also accept manuscripts regarding research projects financed with public funds in order that reach a broader audience.

NanoMaterials - MDPI Open Access Journal

Nanomaterials (ISSN 2079-4991) is an international and interdisciplinary scholarly open access journal. It publishes reviews, regular research papers, communications, and short notes that are relevant to any field of study that involves nanomaterials, with respect to their science and application. Thus, theoretical and experimental articles will be accepted, along with articles that deal with the synthesis and use of nanomaterials. Articles that synthesize information from multiple fields, and which place discoveries within a broader context, will be preferred.