With the rapid development of artificial intelligence in recent years, mankind is facing an unprecedented demand for data processing. Over the past few decades, scientists have been searching for faster and more efficient ways to process data. Now, magnons, the quanta of spin waves, are showing the potential for higher efficiency and lower energy consumption in solving some specific problems. Many magnonic computing units have been realized recently, each typically suitable for a single function.

This workshop focuses on the much more powerful and promising approach of inverse design magnonics. With it, functionalities are first specified and a feedback-based (e.g., machine learning) computational algorithm is used to design a device with the desired functionalities.

Research groups working on this field from four different countries will meet in Vienna for two intense days of presentations, brainstorming and synergy-building.

The Organizing Committee of the workshop is formed by

• Norbert J. Mauser (WPI & MMM c/o Fak. Math, U Vienna)
• Dieter Suess (Fak. f. Physik and MMM, U Vienna)
• Andrii Chumak (Fak. f. Physik and MMM, U Vienna)