Yuchao Yang
YOU?
Author Swipe
View article: Local active memristive oscillator enables controllable complex behaviours and frequency domain extraction
Local active memristive oscillator enables controllable complex behaviours and frequency domain extraction Open
Physical nonlinearities near the Mott transition exhibit substantial potential for neuromorphic computing. The complex computational behaviour stems from their intrinsic local active characteristics. Most studies focus on decay dynamics or…
View article: Enhanced stability of pyridine-containing poly(arylene ether) membranes for vanadium redox flow battery: influence of backbone structure
Enhanced stability of pyridine-containing poly(arylene ether) membranes for vanadium redox flow battery: influence of backbone structure Open
View article: A dual‐ferroelectric gate‐tunable memristor for physically‐implemented nonlinear computing
A dual‐ferroelectric gate‐tunable memristor for physically‐implemented nonlinear computing Open
Nonlinear physical systems hold great promise for energy‐efficient and low‐hardware‐cost information processing. However, their computational capabilities remain constrained by the complexity and tunability of system nonlinearity. Here we …
View article: Epidural spinal cord stimulation for the management of orthostatic hypotension in Parkinson's disease: A case report
Epidural spinal cord stimulation for the management of orthostatic hypotension in Parkinson's disease: A case report Open
View article: Memristive In‐Memory Object Detection with 128 Mb C‐Doped Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub> PCM Chip
Memristive In‐Memory Object Detection with 128 Mb C‐Doped Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub> PCM Chip Open
Object detection, as a fundamental task in computer vision, mainly performs the classification and localization of objects in images or videos. However, traditional edge computing platforms fall short of meeting the demands for state‐of‐th…
View article: Preparation of Multiple Crosslinking Modified Waterborne Polyurethane Acrylate and Its Application in Optical Film Coating
Preparation of Multiple Crosslinking Modified Waterborne Polyurethane Acrylate and Its Application in Optical Film Coating Open
UV curable coatings were widely used in various functional optical film fields, and the waterborne UV curable coatings prepared by waterborne polyurethane acrylate (WPUA) have received widespread attention due to the environmentally friend…
View article: Robust face mask detection in complex scenarios using YOLOv8 and context-aware convolutions
Robust face mask detection in complex scenarios using YOLOv8 and context-aware convolutions Open
Aiming to address the challenges of reduced detection accuracy in face mask applications due to mutual occlusion, lighting variations, and detection distance, this paper proposes a face mask detection algorithm tailored for complex environ…
View article: Electrochemical ohmic memristors for continual learning
Electrochemical ohmic memristors for continual learning Open
View article: Non-Binary LDPC Arithmetic Error Correction For Processing-in-Memory
Non-Binary LDPC Arithmetic Error Correction For Processing-in-Memory Open
Processing-in-memory (PIM) based on emerging devices such as memristors is more vulnerable to noise than traditional memories, due to the physical non-idealities and complex operations in analog domains. To ensure high reliability, efficie…
View article: Decoding Food Odor-Evoked EEG Signals: Odor Recognition and Brain Region Analysis Using MFANet
Decoding Food Odor-Evoked EEG Signals: Odor Recognition and Brain Region Analysis Using MFANet Open
View article: Energy‐Efficient Online Training with In Situ Parallel Computing on Electrochemical Memory Arrays
Energy‐Efficient Online Training with In Situ Parallel Computing on Electrochemical Memory Arrays Open
The rapid development of deep learning enables significant breakthroughs for intelligent edge‐terminal devices. However, neural network training for edge computing is currently overly dependent on cloud service platforms, resulting in low …
View article: Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models
Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models Open
Compute-in-memory based on resistive random-access memory has emerged as a promising technology for accelerating neural networks on edge devices. It can reduce frequent data transfers and improve energy efficiency. However, the nonvolatile…
View article: Synergistic and antagonistic interactions drive DOM dynamics in industrial effluents: Insights from ∆∆EEM analys
Synergistic and antagonistic interactions drive DOM dynamics in industrial effluents: Insights from ∆∆EEM analys Open
View article: Embedding Gold Nanoclusters in Metal-Organic Frameworks as a Dual-Channel Hydrogel Optical Sensor for Hydrogen Sulfide Detection
Embedding Gold Nanoclusters in Metal-Organic Frameworks as a Dual-Channel Hydrogel Optical Sensor for Hydrogen Sulfide Detection Open
View article: High-Performance Sanpek Membranes with Selective Porogen-Induced Ion Transport Channels for Aqueous Organic Redox Flow Batteries
High-Performance Sanpek Membranes with Selective Porogen-Induced Ion Transport Channels for Aqueous Organic Redox Flow Batteries Open
View article: Roadmap to neuromorphic computing with emerging technologies
Roadmap to neuromorphic computing with emerging technologies Open
The growing adoption of data-driven applications, such as artificial intelligence (AI), is transforming the way we interact with technology. Currently, the deployment of AI and machine learning tools in previously uncharted domains generat…
View article: An emergent attractor network in a passive resistive switching circuit
An emergent attractor network in a passive resistive switching circuit Open
View article: Experimental evaluation of offline reinforcement learning for HVAC control in buildings
Experimental evaluation of offline reinforcement learning for HVAC control in buildings Open
Reinforcement learning (RL) techniques have been increasingly investigated for dynamic HVAC control in buildings. However, most studies focus on exploring solutions in online or off-policy scenarios without discussing in detail the impleme…
View article: EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification Open
In recent years, with the development of deep learning, electroencephalogram (EEG) classification networks have achieved certain progress. Transformer-based models can perform well in capturing long-term dependencies in EEG signals. Howeve…
View article: Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models
Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models Open
Electroencephalogram (EEG) classification has been widely used in various medical and engineering applications, where it is important for understanding brain function, diagnosing diseases, and assessing mental health conditions. However, t…
View article: Roadmap to Neuromorphic Computing with Emerging Technologies
Roadmap to Neuromorphic Computing with Emerging Technologies Open
The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently utilized technologies, providing an overview of emerging techno…
View article: Editorial: Focus issue on in-memory computing
Editorial: Focus issue on in-memory computing Open
Neuromorphic technologies aim to use the organizing principles of the brain to build efficient and intelligent systems, making them the center-piece between the biological and current Artificial Intelligence (AI) systems. Specifically, in …
View article: Spatiotemporal audio feature extraction with dynamic memristor-based time-surface neurons
Spatiotemporal audio feature extraction with dynamic memristor-based time-surface neurons Open
Neuromorphic speech recognition systems that use spiking neural networks (SNNs) and memristors are progressing in hardware development. The conventional manual preprocessing of audio signals is shifting toward event-based recognition with …
View article: Neural Architecture Search with In‐Memory Multiply–Accumulate and In‐Memory Rank Based on Coating Layer Optimized C‐Doped Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub> Phase Change Memory (Adv. Funct. Mater. 15/2024)
Neural Architecture Search with In‐Memory Multiply–Accumulate and In‐Memory Rank Based on Coating Layer Optimized C‐Doped Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub> Phase Change Memory (Adv. Funct. Mater. 15/2024) Open
Neural Architecture Search Neural architecture search (NAS) can design neural network models with better performance than manual design. However, the energy and time consumption of conventional software-based NAS are huge, hindering its de…
View article: The Thermal Properties of an Active–Passive Heat Storage Wall System Incorporating Phase Change Materials in a Chinese Solar Greenhouse
The Thermal Properties of an Active–Passive Heat Storage Wall System Incorporating Phase Change Materials in a Chinese Solar Greenhouse Open
The use of renewable energy for food and vegetable production is a potential sustainable method to reduce fossil energy consumption. Chinese solar greenhouses (CSGs) are horticultural facility buildings in the northern hemisphere that use …
View article: Hardware implementation of memristor-based artificial neural networks
Hardware implementation of memristor-based artificial neural networks Open
Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL) techniques, which rely on networks of connected simple computing units operating in parallel. The low communication bandwidth between memory and pr…
View article: High-order sensory processing nanocircuit based on coupled VO2 oscillators
High-order sensory processing nanocircuit based on coupled VO2 oscillators Open
Conventional circuit elements are constrained by limitations in area and power efficiency at processing physical signals. Recently, researchers have delved into high-order dynamics and coupled oscillation dynamics utilizing Mott devices, r…
View article: VO2 memristor-based frequency converter with in-situ synthesize and mix for wireless internet-of-things
VO2 memristor-based frequency converter with in-situ synthesize and mix for wireless internet-of-things Open
View article: AttentionLego: An Open-Source Building Block For Spatially-Scalable Large Language Model Accelerator With Processing-In-Memory Technology
AttentionLego: An Open-Source Building Block For Spatially-Scalable Large Language Model Accelerator With Processing-In-Memory Technology Open
Large language models (LLMs) with Transformer architectures have become phenomenal in natural language processing, multimodal generative artificial intelligence, and agent-oriented artificial intelligence. The self-attention module is the …
View article: Data for Spatiotemporal Audio Feature Extraction with Dynamic Memristor-Based Time-Surface Neurons
Data for Spatiotemporal Audio Feature Extraction with Dynamic Memristor-Based Time-Surface Neurons Open
Data for Spatiotemporal Audio Feature Extraction with Dynamic Memristor-Based Time-Surface Neurons