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Book "Reuse and Recycling of Lithium-ion Batteries for EVs 2021"

Book "Reuse and Recycling of Lithium-ion Batteries for EVs 2021"

A detailed description of the reuse and recycling of lithium-ion batteries for electric vehicles, from composition to development examples.

■Book Title: Reuse and Recycling of Lithium-ion Batteries for EVs 2021 - Characteristics, Standards, Safety, and Business Trends - This book aggregates data, estimates, and analyzes the characteristics, composition, and structure of chemical secondary batteries across the following chapters 1 to 9. The keywords include elemental resources (Co, Ni, Li, etc.), cathode material synthesis, safety, chemical hazards, wet/dry processing, among others, while also providing examples of development from related companies whenever possible. I hope this book serves as a useful resource for those interested in the recycling and reuse of lithium-ion batteries for EVs. June 2021 【Features of this Book】 ◆ By 2031, EV batteries will total approximately 2000 GWh worldwide... what will happen to those elemental resources? ◆ Valuable elemental resources Co, Ni, and Li will be reused as cathode materials. ◆ Rules and regulations for the industrial waste treatment of damaged or discarded EV batteries. ◆ Who ensures the safety of reused EV batteries and how? ◆ The fate of EV batteries that can no longer perform due to reaching the retirement age of 60. ◆ Regulations of the Basel Convention on the aggregation and treatment of waste batteries.

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  • Other resource recycling
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Research Report "Physical AI: Integrated Technologies for Materials, Devices, and Implementation"

Research Report "Physical AI: Integrated Technologies for Materials, Devices, and Implementation"

The era when AI was merely a tool waiting for human instructions has ended, and we are moving towards coexistence with humans! Instead of being immersed in specialized fields, a cross-disciplinary "integrative perspective" is required!

Physical AI: Integrated Technology of Materials, Devices, and Implementation [Features of this Book] - A radical shift in design philosophy. A complete and detailed explanation of the "four-in-one" strategy of materials, components, structures, and signal processing! - The reintegration of matter and intelligence. An essential latest report for developers that delves into the core of next-generation device development! - From self-healing materials to soft robotics. A stunning vision of the future opened up by physical intelligence! - Going beyond GAFA. Analyzing the evolution of implementation technology and devices to interpret the hegemony scenario of 2050! - Comprehensive corporate analysis. Identifying technological challenges and business opportunities, providing guidelines for investment and development! - A condensed overview of the latest trends in MEMS and flexible devices. The societal changes brought about by advanced sensing! - Sustainable manufacturing. A sharp analysis of the challenges of sustainable materials and social implementation! - From autonomous driving to healthcare. A roadmap to 2050, a bible for technological integration!

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[Data] Shirutoku Report No. 30 # Thermal Resistance of Semiconductors

[Data] Shirutoku Report No. 30 # Thermal Resistance of Semiconductors

Essential thermal resistance of semiconductors for thermal analysis! Introducing typical thermal resistances and their formulas.

★★Shirutoku Report: Useful Information You Should Know★★ In recent years, while products have been miniaturizing, thermal issues have continued to worsen, and we have seen an increasing trend in inquiries from customers regarding thermal analysis. The inquiries cover a variety of topics, but in this report, we will briefly explain the thermal resistance of semiconductors, which is essential for thermal analysis. For more details, please take a moment to read through it. 【Contents】 ■Typical thermal resistances and their formulas *For more information, please refer to the PDF document or feel free to contact us.*

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[Data] Shirutoku Report No. 32 #Q-Learning

[Data] Shirutoku Report No. 32 #Q-Learning

Create the rules with an R-Table and generate the predicted values of state-action pairs with a Q-Table! Introducing the Q-Learning algorithm.

★★Shirutoku Report: Useful Information You Can Benefit From★★ The most challenging aspect I encountered while developing programs was the implementation of algorithms. There are many interesting algorithms, and recently I had the opportunity to explore Q-Learning, which is a type of reinforcement learning related to machine learning. I created a program (Cheese Puzzle Simulator) to demonstrate it. Q-Learning is one of the algorithms in reinforcement learning and is utilized in various fields, from autonomous driving to fintech. In this report, I would like to briefly introduce the Q-Learning algorithm. For more details, please feel free to read on. 【Contents】 ■Challenges ■Explanations *For more information, please refer to the PDF document or feel free to contact us.*

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  • Other Software
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