Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Privacy-Preserving Computation for Peer-to-Peer Energy Trading on a Public Blockchain. [PDF]
Mitrea D, Cioara T, Anghel I.
europepmc +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Performance Evaluation and Cyberattack Mitigation in a Blockchain-Enabled Peer-to-Peer Energy Trading Framework. [PDF]
Pradhan NR +4 more
europepmc +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
An Efficient and Secure Energy Trading Approach with Machine Learning Technique and Consortium Blockchain. [PDF]
Ashfaq T +10 more
europepmc +1 more source
Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke +3 more
wiley +1 more source
Blockchain Privacy and Scalability in a Decentralized Validated Energy Trading Context with Hyperledger Fabric. [PDF]
Westphall J, Martina JE.
europepmc +1 more source
Fusogenic RNA Nanomodules for Fusion‐Mediated and Multiplexed siRNA Delivery
A fusogenic lipid‐layered RNA nanomodules (L‐CRAMs) enable high‐capacity and long‐lasting siRNA delivery through membrane fusion. These nanomodules carry exceptionally large siRNA payloads, avoid conventional endosomal uptake, and release multiple functional siRNAs through Dicer‐mediated processing.
Sunghyun Moon +5 more
wiley +1 more source
Review and prospect of P2P energy trading market mechanism and strategy optimization
Peer-to-peer (P2P) energy trading can encourage prosumers to carry out local energy trading, and guide user-side resources including distributed energy resources (DERs), energy storage, electric vehicles (EVs) and flexible loads to participate in supply ...
Jiehui ZHENG +5 more
doaj +1 more source

