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Automated nanohandling by microrobots
Automated Nanohandling by Microrobots introduces an actuation principle for such microrobots and presents a new robot design. Different aspects of this research field regarding the hardware and software implementation of the system components, including the sensory feedback for automated nanohandling, are discussed in detail. Extensive applications of the microrobot station for nanohandling, nano-characterization and nanostructuring are provided, together with the experimental results.
Applied mathematics and machine learning
The simultaneous availability of large datasets and high-performance computing capability in recent years has enabled the rapid development of powerful machine learning algorithms. On the one hand, state-of-the-art machine learning techniques have transformed many areas of science and engineering; on the other hand, theoretical discoveries in mathematical algorithms, differential equations, and statistical inferences, to name a few, have provided the foundation for the exploration of new multidisciplinary models for solving practical problems. This Special Issue endeavors to continue the journey that started in our previous Special Issue (Applied Mathematics and Computational Physics) by providing a platform for researchers from both academia and industry, as well as government, to present their new computational methods that have engineering and physics applications.
