Results 191 to 200 of about 51,131 (290)

Uranium Doped Gallium Nitride Epitaxial Thin Films

Advanced Electronic Materials, EarlyView.
Uranium was controllably added to gallium nitride using molecular beam epitaxy. The uranium atoms segregated into vertically oriented regions with higher doping levels. Concentrations up to a few percent were achieved without showing significant degradation in the crystalline quality or optical characteristics. Low electrical resistivity was maintained
J. Pierce Fix, Sabin Regmi, Aaron G. Penders, Sohail Shah, Kevin D. Vallejo, Volodymyr B. Buturlim, Belief Rifore, Krzysztof Gofryk, Mukesh Bachhav, Nicholas J. Borys, Brelon J. May   +10 more
wiley   +1 more source

Tunneling-Controlled Fusion of Short- and Long-Term Memory in SiO₂/HfO₂-Based Neuromorphic Device for Time-Series Prediction. [PDF]

Adv Sci (Weinh)
Yang C, Xu L, Su L, Wu Y.
europepmc   +1 more source

Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration

Advanced Electronic Materials, EarlyView.
Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song, Chenxi Yu, Shangze Li, Dijiang Sun, Jiajia Zhang, Haotong Zhu, Xiaomin Xiao, Xionghao Qin, Xiaoyan Liu, Xing Zhang, Jinfeng Kang   +10 more
wiley   +1 more source

Defect-Driven Neuromorphic Plasticity in Planar ZnO Optoelectronic Synapses. [PDF]

ACS Appl Mater Interfaces
Ren Z, Wang S, Meng B, Liu H, An Q, Su L, Chen R.   +6 more
europepmc   +1 more source

Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays

Advanced Electronic Materials, EarlyView.
A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter, Ahmet Samil Demirkol, Ioannis Messaris, Christian Bruchatz, Eter Mgeladze, Stefan Slesazeck, Thomas Mikolajick, Ronald Tetzlaff   +7 more
wiley   +1 more source

Oxide interface-based polymorphic electronic devices for neuromorphic computing. [PDF]

Nat Commun
Pradhan S, Miller K, Hartmann F, Spring M, Gabel J, Leikert B, Kuhn S, Kamp M, Lopez-Richard V, Sing M, Claessen R, Höfling S.   +11 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Dynamic Control of Band Alignment and Built-In Potential in High Performance Self-Powered InSe/SnS₂ Van der Waals Photodetectors via Gas Molecular Physisorption. [PDF]

Small Sci
Cao Z, Abid M, Ó Coileáin C, An F, Chang CR, Wu YR, Wu HC.   +6 more
europepmc   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

Engineering halogen-doped carbon dots for enhanced bioinspired synapses toward neuromorphic computing and neural interfaces. [PDF]

Mater Today Bio
Hao H, Lang X, Cao Y, Chen L, Wang M, Ding Z, Peng Y, Sun B, An M, Zhou G, Yang Y.   +10 more
europepmc   +1 more source