5 papers
An Unsupervised Machine Learning-based Framework for Wafer Scale Variability Analysis and Performance Prediction of Ferroelectric Hf0.5Zr0.5O2 Thin Film Capacitors
Anika Anu, Sayani Majumdar
Fabrication process-induced performance variability remains a formidable barrier in the high-volume manufacturing of semiconductor chips. With skyrocketing Artificial Intelligence…
Record High Polarization at 2V and Imprint-free operation in Superlattice HfO2-ZrO2 by Proper Tuning of Ferro and Antiferroelectricity
Xinye Li, Sayani Majumdar
Neuromorphic computing, inspired by biological intelligence, offers a pathway to revolutionize artificial intelligence (AI) by unifying memory and processing in an energy-efficient…
Towards Improved Polarization Uniformity in Ferroelectric HfZrO Devices within Back End of Line Thermal Budget for Memory and Neuromorphic Applications
Padma Srivari, Ella Paasio, Xinye Li +1
Thin film ferroelectric devices with ultralow power operation, non-volatile data retention and fast and reliable switching are attractive for non-volatile memory and as synaptic we…
Universal Model for Ferroelectric Capacitors Operating Down to Deep Cryogenic Temperatures
Ella Paasio, Rikhard Ranta, Sayani Majumdar
Binary oxide ferroelectrics like doped HfO2, compatible with complementary metal-oxide-semiconductor (CMOS) platforms, have gained significant interest for energy efficient, scalab…
Designing high endurance Hf0.5Zr0.5O2 capacitors through engineered recovery from fatigue for non-volatile ferroelectric memory and neuromorphic hardware
Xinye Li, Padma Srivari, Sayani Majumdar
Heavy computational demands from artificial intelligence (AI) leads the research community to explore the design space for functional materials that can be used for high performanc…