- Machines | An Open Access Journal from MDPI
Machines is an international, peer-reviewed, open access journal on machinery and engineering published monthly online by MDPI The IFToMM is affiliated with Machines and its members receive a discount on the article processing charges
- Machines | Aims Scope - MDPI
About Machines Aims Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering It publishes research articles, reviews and communications
- Machines | Sections - MDPI
Machines Testing and Maintenance 603 Articles Prof Dr Hui Ma Current Special Issues (36) Automation and Control Systems 474 Articles Prof Dr Dan Zhang Current Special Issues (34) Robotics, Mechatronics and Intelligent Machines 502 Articles Dr Giuseppe Carbone
- Bioinspired Soft Machines: Engineering Nature’s Grace into Future . . .
This article explores the transformative advances in soft machines, where biology, materials science, and engineering have converged We discuss the remarkable adaptability and versatility of soft machines, whose designs draw inspiration from nature’s elegant solutions
- Machines | Announcements - MDPI
Machines (ISSN: 2075-1702) is pleased to announce the following 29 researchers, who have been added to our group of 2025–2026 Early Career Editorial Board Members Please join us in congratulating them on joining the Machines community!
- Machines | Special Issues - MDPI
Machines publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions
- Machines | Editorial Board - MDPI
Interests: design of high precision machines; air-bearings design; micro cutting; ultraprecision machining; smart tooling * Section: Advanced Manufacturing Special Issues, Collections and Topics in MDPI journals
- Application of Deep Learning in Intelligent Machines - MDPI
This Special Issue is focused on the study and discovery of the applications of deep learning algorithms in intelligent machines, which mainly include intelligent robotics, autonomous driving, intelligent fault diagnosis, intelligent assembly, intelligent manufacturing, process optimization, supply chain management, and safety
|