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Micromachines (Micromachines)

Publisher :

Multidisciplinary Digital Publishing Institute (MDPI)

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
e-ISSN :

2072-666X

Issue Frequency :

Monthly

Est. Year :

2010

Mobile :

41616837734

Country :

Switzerland

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

micromachines@mdpi.com

Journal Descriptions

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. Our aim is to encourage scientists to publish their theoretical and experimental results in as much detail as possible. Therefore, there is no restriction on the maximum length of the papers or the number of electronic supplementary files. Full details on experiments, materials and methods must be provided for a research article so that the results can be reproduced. This journal seeks and encourages submissions on significant and original works related to all aspects of micro/nano-scaled structures, materials, devices, systems as well as related micro- and nanotechnology from fundamental research to applications. The scope includes, but is not limited to, the following topics: Fundamentals and Physics Fundamental micro/nanoscale multiphysics phenomena and device, leading to novel applications such as Nano/Microelectromechanical Systems (N/MEMS); mechanical and electrical transducers, sensors, and actuators; optic devices (including plasmons and metal), optoelectronic devices; micro/nano-scale energy harvesting; piezoelectric, triboelectric, and pyroelectric nanogenerators; flexible, stretchable, and wearable electronics/sensors; microbots (swarm robotics), nanorobots, and micro air vehicles. Biology and biomedicine BioMEMS; miniaturized biosensors; microarrays; DNA chips; PCR chips; electronic noses; organ-on-a-chip; microfluidic cell culture; point-of-care diagnostic chips; μ-TAS; molecular imprinting; applications in medicine (nanomedicine), tissue engineering, regenerative medicine, biomedical research, drug discovery, environment, food, health, security, and safety. Chemistry Electrochemical devices; nanoelectrodes; miniaturized gas sensors; miniaturized chemical sensors; microsystems for chemistry; microreactors; lab-on-a-chip, biochips, and microfluidics applications in chemistry (including electrokinetic phenomenon), energy and environmental sciences. Materials and Processing Materials based micro/nano structures, devices, system, and its applications: class of materials include silicon, carbon, glasses, polymers (plastics), metals, ceramics, composites, liquid crystals, colloids, semiconductors, superconducting, magnetic materials. Bio-inspired, biomedical and biomolecular materials; optical, photonic and optoelectronic materials; nanoscale materials; surfaces and thin films. Engineering and Technology Micro/nano fabrication and manufacturing: deposition, lithography, patterning, etching, surface micromachining, bulk micromachining, laser fabrication, biofabrication, 3D printing, self-assembly, etc. Design and optimization principles of micro- and nanosystems; micro- nanosystems and advanced technologies for engineering applications: resources engineering, civil engineering, advanced manufacturing engineering, environmental engineering, bioengineering, electronic system (including electrical circuits & devices, transistors, capacitors, inductors, resistors, diodes, insulators and conductors) engineering, etc.


Micromachines (Micromachines) is :

International, Peer-Reviewed, Open Access, Refereed, Mechanical Engineering, Electrical and Electronic Engineering, Control and Systems Engineering , Online Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2072-666X, Established in - 2010, Impact Factor

Not Provide Crossref DOI

Indexed in Scopus, DOAJ

Not indexed in WoS, PubMed, UGC CARE

Publications of Micromachines

  • dott image September, 2022

Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques

Predicting bearing failures is a vital component of machine health monitoring since bearings are essential parts of rotary machines, particularly large motor machines. In addition, determini...

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