TOWARDS DESIGN AUTOMATION OF MICROFLUIDIC MIXERS: LEVERAGING REINFORCEMENT LEARNING AND ARTIFICIAL NEURAL NETWORKS

Towards Design Automation of Microfluidic Mixers: Leveraging Reinforcement Learning and Artificial Neural Networks

Microfluidic mixers, a pivotal application of microfluidic technology, are primarily utilized for the rapid amalgamation of diverse samples within microscale devices.Given Ceramic Plate the intricacy of their design processes and the substantial expertise required from designers, the intelligent automation of microfluidic mixer design has garnered

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Multi-Objective Linear Programming for Optimizing a Local Energy Community DC Microgrid System and Business Model

Energy security is essential to ensure that energy is always available, affordable, and socially acceptable.To realize these aspects, this paper presents a design and business model for installing and operating a local energy community DC microgrid that allows individual households to power electrical loads for their homes and the whole community.I

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