Results 61 to 70 of about 116,488 (262)

Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications

Advanced Functional Materials, EarlyView.
Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So, Sunwoo Jeong, Youngmin Han, Fabrizio Torricelli, Hocheon Yoo, Junhwan Choi   +5 more
wiley   +1 more source

Thermal‐Driven Diode Polarity Switching From Competing Helical Superconducting States in WTe2/α‐Fe2O3 Heterostructures

Advanced Materials, EarlyView.
A Nb‐proximitized Josephson junction based on a WTe2/α‐Fe2O3 heterostructure exhibits a robust superconducting diode effect with programmable polarity. The diode direction can be trained by magnetic fields and switched by temperature cycling, revealing tunable finite‐momentum pairing states and competing superconducting states in symmetry‐broken ...
Enze Zhang, Grant Z. X. Yang, Zi‐Ting Sun, Xinhou Chen, Shishun Zhao, Chufan Chen, Chenhui Zhang, Fanrui Hu, K. T. Law, Hyunsoo Yang   +9 more
wiley   +1 more source

Self-Perceived Benefits of Cognitive Training in Healthy Older Adults

Frontiers in Aging Neuroscience, 2018
The idea that individualized, computer-based cognitive training improves cognitive functioning in non-trained domains is highly contested. An understudied area is whether cognitive training improves one’s own perception of cognitive and day-to-day ...
Vina M. Goghari, Linette Lawlor-Savage
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Application of Fuzzy logic and IoT in a small-scale Smart Greenhouse System

Smart Agricultural Technology
This research aims to address the critical challenges caused by global population increase, climate change, and urbanization on food production by means of a Fuzzy Logic controller in a small-scale greenhouse and improving agricultural efficiency and ...
Vasileios Thomopoulos, Fotios Tolis, Taxiarchis-Foivos Blounas, Dimitrios Tsipianitis, Angeliki Kavga   +4 more
doaj   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Towards a Logic of "Inferable" for Self-Aware Transparent Logical Agents. [PDF]

, 2020
In Artificial Intelligence, multi agent systems constitute an interesting typology of society modeling, and have vast fields of application. Logic is often used to model such kind of systems as it is provides explainability and verifiabilty. In this paper1 we talk about the cognitive aspect of autonomous systems, and we propose a particular logical ...
Costantini S., Pitoni V.
openaire   +1 more source

Giant Orbital Rashba–Edelstein Effect in Crystalline Cu2O/Cu Heterostructures

Advanced Materials, EarlyView.
An enhanced orbital Rashba–Edelstein effect is demonstrated in a crystalline Cu2O/Cu heterostructure, compared to naturally oxidized CuOx structures, highlighting the critical role of crystallinity and interface control in orbital torque generation. The resulting spin torque conductivity exceeds that of Pt, indicating the potential of orbital torque ...
San Ko, Jaimin Kang, Su Jae Kim, Hanhwi Jang, Do‐Kyeong Nam, Minseok Kang, Sunghoon Kim, Yeon Sik Jung, Se‐Young Jeong, Kab‐Jin Kim, Byong‐Guk Park   +10 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source