Thank you for your comment! While photonics indeed offers incredible advantages, magnonics brings unique benefits, particularly in energy efficiency and compact data processing. It's fascinating to see how different approaches can work together to push the boundaries of innovation
Magnonics and spintronics are closely related fields within spin-based electronics, yet they differ in their core principles and applications. Spintronics, short for spin electronics, utilizes the intrinsic spin of electrons in addition to their charge to create advanced electronic devices. This field exploits phenomena such as giant magnetoresistance and spin-transfer torque, which are fundamental for technologies like non-volatile memory and spin-based logic devices. In contrast, magnonics focuses on magnons, which are quasiparticles that represent collective spin excitations in a magnetic material. Instead of manipulating individual electron spins, magnonics deals with spin waves, the wave-like propagation of these collective excitations. This approach offers potential advantages in terms of lower power consumption and higher efficiency for information processing and data transmission within magnetic materials. Thus, while both fields harness spin properties, spintronics is primarily concerned with the control of electron spins, whereas magnonics is dedicated to the dynamics of spin waves.
Thank you for watching! This video was not completely made by AI, as we also use stock videos to enhance the visual experience, and humans work on the script to ensure quality and accuracy. These videos are introductory, and we are working on more scientifically rigorous educational versions. If you believe that more rigorous videos, including tutorials and equations, would be of great help, please feel free to suggest them. Your feedback is valuable as we strive to improve our educational content. AI can significantly improve education by enabling more efficient and engaging learning experiences. For example, if students watch lectures online, AI can enhance these materials with interactive elements like quizzes and personalized feedback. This allows professors to focus class time solely on interactive, practical sessions rather than delivering monotonous lectures to a disengaged audience. Consequently, students can actively participate, apply their knowledge, and engage in meaningful discussions, leading to a more dynamic and effective educational experience.
Thank you for your comment. Light-based technologies, like photonics, are indeed great because they can transfer data very quickly and efficiently with minimal energy loss and heat generation. Magnonics also has unique advantages, such as low energy consumption and the potential for very compact data storage and processing solutions.
@nanotriz oh I have no doubt that magnonics will always be a part of calculation in the future, but there are not many ways to calculate faster than the interference patterns of light rays, before quantum. After that it depends on the calculations.
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been there, done that... We moved on to electrons and are heading for photonics...
Thank you for your comment! While photonics indeed offers incredible advantages, magnonics brings unique benefits, particularly in energy efficiency and compact data processing. It's fascinating to see how different approaches can work together to push the boundaries of innovation
How is magnonics different than spintronics?
Magnonics and spintronics are closely related fields within spin-based electronics, yet they differ in their core principles and applications. Spintronics, short for spin electronics, utilizes the intrinsic spin of electrons in addition to their charge to create advanced electronic devices. This field exploits phenomena such as giant magnetoresistance and spin-transfer torque, which are fundamental for technologies like non-volatile memory and spin-based logic devices. In contrast, magnonics focuses on magnons, which are quasiparticles that represent collective spin excitations in a magnetic material. Instead of manipulating individual electron spins, magnonics deals with spin waves, the wave-like propagation of these collective excitations. This approach offers potential advantages in terms of lower power consumption and higher efficiency for information processing and data transmission within magnetic materials. Thus, while both fields harness spin properties, spintronics is primarily concerned with the control of electron spins, whereas magnonics is dedicated to the dynamics of spin waves.
@@NanoTRIZ That was actually more interesting than the video!
this entire video feels ai generated, is it?
🤔
Thank you for watching! This video was not completely made by AI, as we also use stock videos to enhance the visual experience, and humans work on the script to ensure quality and accuracy. These videos are introductory, and we are working on more scientifically rigorous educational versions. If you believe that more rigorous videos, including tutorials and equations, would be of great help, please feel free to suggest them. Your feedback is valuable as we strive to improve our educational content.
AI can significantly improve education by enabling more efficient and engaging learning experiences. For example, if students watch lectures online, AI can enhance these materials with interactive elements like quizzes and personalized feedback. This allows professors to focus class time solely on interactive, practical sessions rather than delivering monotonous lectures to a disengaged audience. Consequently, students can actively participate, apply their knowledge, and engage in meaningful discussions, leading to a more dynamic and effective educational experience.
@@NanoTRIZthis reply feels AI generated!
The script is
light works better
Thank you for your comment. Light-based technologies, like photonics, are indeed great because they can transfer data very quickly and efficiently with minimal energy loss and heat generation. Magnonics also has unique advantages, such as low energy consumption and the potential for very compact data storage and processing solutions.
@nanotriz oh I have no doubt that magnonics will always be a part of calculation in the future, but there are not many ways to calculate faster than the interference patterns of light rays, before quantum. After that it depends on the calculations.