Results 191 to 200 of about 497,808 (317)

Ion Intercalation‐Mediated MoS2 Conductance Switching for Highly Energy‐Efficient Memristor Synapse

Advanced Electronic Materials, Volume 11, Issue 6, May 2025.
The novel ion intercalation‐mediated memristor synapse based on MoS₂ enables highly efficient spatiotemporal information processing. The memristor achieves fast switching (500 ns) and ultra‐low energy consumption (2.85 fJ per synaptic event), while maintaining stable bidirectional synaptic plasticity modulation.
Bin Zhao, Xuan Zhao, Xiaochen Xun, Fangfang Gao, Qi Li, Jiayi Sun, Tian Ouyang, Qingliang Liao, Yue Zhang   +8 more
wiley   +1 more source

Bionic Visual‐Auditory Perceptual System Based on Ionotronic Neuromorphic Transistor for Information Encryption and Decryption with Sound Recognition Functions

Advanced Electronic Materials, Volume 11, Issue 6, May 2025.
A bionic visual‐auditory perceptual system is proposed. The system exhibits remarkable multi‐modal sensory abilities to sound and light, enabling diverse functions including encrypted sound information transmission and information decoding. The perceptual system can also perform sound recognition, resulting in the implementation of a sound lock ...
Wei Sheng Wang, Xin Li Chen, You Jie Huang, Xin Huang, Li Qiang Zhu   +4 more
wiley   +1 more source

Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak

Tuberculosis (TB) remains a formidable global health challenge, driven by complex spatiotemporal transmission dynamics and influenced by factors such as population mobility and behavioral changes. We propose an Epidemic-Guided Deep Learning (EGDL) approach that fuses mechanistic epidemiological principles with advanced deep learning techniques to ...
Barman, Madhab, Panja, Madhurima, Mishra, Nachiketa, Chakraborty, Tanujit   +3 more
openaire   +2 more sources

Physical Reservoir Computing for Real‐Time Electrocardiogram Arrhythmia Detection Through Controlled Ion Dynamics in Electrochemical Random‐Access Memory

Advanced Electronic Materials, EarlyView.
This study presents an ECRAM‐based physical reservoir computing system for real‐time electrocardiogram arrhythmia detection. By optimizing electrolyte ionic conductivity and channel ionic diffusivity, it achieves including non‐linear dynamics, millisecond‐scale tunable retention, low‐power operation, and minimal variation.
Kyumin Lee, Dongmin Kim, Jongseon Seo, Hyunsang Hwang   +3 more
wiley   +1 more source

Designed Biomaterial‐Enhanced Cell Transplantation for Neural Tissue Engineering

Aggregate, EarlyView.
Biomaterials offer a promising solution for cell transplantation in the central nervous system by creating a protective environment that enhances cell survival, integration, and functional recovery in preclinical models of neurological disorders. ABSTRACT Cell transplantation therapy in the central nervous system is hindered by limited survival and ...
Yun Tang, Alice Le Friec, Menglin Chen, Di Sun   +3 more
wiley   +1 more source

Deep Learning Methods in Soft Robotics: Architectures and Applications

Advanced Intelligent Systems, EarlyView.
Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda, Monika Trojanová, Pavlo Pomin, Alexander Hošovský   +3 more
wiley   +1 more source

Text‐to‐Haptics: Enhancing Multisensory Storytelling through Emotionally Congruent Midair Haptics

Advanced Intelligent Systems, Volume 7, Issue 4, April 2025.
Imagine feeling the pulse of a story in the palm of your hand. This research combines AI‐driven sentiment analysis with mid‐air haptics and immersive audio‐visuals, transforming narrative engagement through touch. A user study involving 40 participants supports the method's effectiveness, showing how mapped haptic cues deepen sensory and emotional ...
Maciej Stroinski, Kamil Kwarciak, Mateusz Kowalewski, Daria Hemmerling, William Frier, Orestis Georgiou   +5 more
wiley   +1 more source

Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis

Advanced Intelligent Systems, EarlyView.
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley   +1 more source

Deep Learning–Powered Robust Tactile Perception: Bridging Graphene Electronic Skin and Dynamic Decoding

Advanced Intelligent Systems, EarlyView.
This article presents a developed methodology to achieve robust tactile perception with spatially designed electronic skin (e‐skin) utilizing laser‐induced graphene (LIG). To enhance LIG‐based e‐skin, the fabrication of the e‐skin is simplified and advanced decoding algorithms are employed, effectively circumventing several intrinsic issues of ...
Gyeonghwa Heo, Jusouk Yoon, Jeonghwa Jeong, Young Woo Kwon, Suck Won Hong   +4 more
wiley   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source