Neuromorphic computing architectures demand the development of analog, non-volatile memory components operating at femto-Joule/bit operation energy. Electronic components working in this energy range require devices operating at ultrafast timescales. Among different non-volatile, analog memories, ferroelectric tunnel junctions (FTJs) have emerged as an important contender due to their voltage-driven operation leading to extreme energy-efficiency. Here, we report a study on the switching timescale and linear conductance modulation of organic FTJs comprising a metal/ferroelectric/semiconductor (MFS) stack with different morphologies of ferroelectric copolymer P(VDF-TrFE) ultrathin films. The results show that due to different annealing temper...
Parallel information processing, energy efficiency and unsupervised learning make the human brain a ...
Recently, considerable attention has been paid to the development of advanced technologies such as a...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...
Neuromorphic computing architectures demand the development of analog, non-volatile memory component...
Neuromorphic computing architectures demand the development of analog, non-volatile memory component...
Neuromorphic computing architectures demand the development of analog, non-volatile memory component...
Neuromorphic computing is a computing architecture that mimics biological neural systems. Successful...
Ferroelectric tunnel junctions (FTJs) are promising candidates for nonvolatile memories and memristo...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...
The development of neuromorphic architectures depends on the engineering of new functional materials...
The development of neuromorphic architectures depends on the engineering of new functional materials...
Due to the voltage driven switching at low voltages combined with nonvolatility of the achieved pola...
The development of neuromorphic architectures depends on the engineering of new functional materials...
The development of neuromorphic architectures depends on the engineering of new functional materials...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...
Parallel information processing, energy efficiency and unsupervised learning make the human brain a ...
Recently, considerable attention has been paid to the development of advanced technologies such as a...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...
Neuromorphic computing architectures demand the development of analog, non-volatile memory component...
Neuromorphic computing architectures demand the development of analog, non-volatile memory component...
Neuromorphic computing architectures demand the development of analog, non-volatile memory component...
Neuromorphic computing is a computing architecture that mimics biological neural systems. Successful...
Ferroelectric tunnel junctions (FTJs) are promising candidates for nonvolatile memories and memristo...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...
The development of neuromorphic architectures depends on the engineering of new functional materials...
The development of neuromorphic architectures depends on the engineering of new functional materials...
Due to the voltage driven switching at low voltages combined with nonvolatility of the achieved pola...
The development of neuromorphic architectures depends on the engineering of new functional materials...
The development of neuromorphic architectures depends on the engineering of new functional materials...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...
Parallel information processing, energy efficiency and unsupervised learning make the human brain a ...
Recently, considerable attention has been paid to the development of advanced technologies such as a...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...