Made in the UPM: Ferroelectricity: From Material to Device & Deciphering Human Motion: Plant Electrical Responses to Eurythmy

Ferroelectricity: From Material to Device

Ferroelectric materials enjoy spontaneous and non-volatile charge polarization with an orientation that can be switched by the application of a voltage. Recently, the discovery of ferroelectricity in HZO (Hf0.5Zr0.502) thin films and their compatibility with current CMOS fabrication processes have made ferroelectric field-effect transistors (FE-FETs) attractive as low power, nonvolatile memory devices for neuromorphic computing applications. However, the physics behind HZO polarization switching mechanisms, especially when integrated in FE-FETs, are not yet widely understood.

This seminar will discuss the appeal of these devices and the current experimental and simulation efforts carried out to provide insights on the FE materials behavior.

Speaker: Jorge Navarro Fidalgo is an industrial technologies engineering student in the School of Industrial Engineers (ETSII) at the Technical University of Madrid (UPM), specializing in electrical engineering. He is currently a UPM fellow and visiting student at Massachusetts Institute of Technology (MIT), researching the application of ferroelectric materials as a new addition to semiconductor technology.

Deciphering Human Motion: Plant Electrical Responses to Eurythmy

Plant perception has long been a subject of scientific fascination. More recently it has been found that plants possess a remarkable ability to sense and respond to many environmental stimuli. This innovative study explores the hypothesis that plants can detect and react to human movements, particularly gestures of eurythmy. Our approach employs these plants as living biosensors, harnessing their natural responsiveness to develop a machine learning model capable of interpreting human movements from plant-based electrical signals.

This seminar will discuss how to further explore the extent of plant awareness and the development of novel biosensing technology.

Speaker: Álvaro Francisco Gil is an software engineering student in the School of Informatic Systems (ETSISI) at the Technical University of Madrid (UPM), specialized in Artificial Intelligence. He is currently a UPM fellow and visiting student at Massachusetts Institute of Technology (MIT), researching the application of deep learning in the processing of plant electrical signals.

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