The Emergence of Cutaneous Digital Twins in Dermatology: A Systematic Literature Review. [PDF]
Rashid Z, Butt J.
europepmc +1 more source
Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley +1 more source
Battery Electrode Engineering Enables Fast Charging LMFP Cells Without Carbon‐Coated Foil
Slow charging inhibits the widespread adoption of electric vehicles, particularly for LMFP, a new low‐cost, high‐energy battery material. In this work, the authors report on electrode engineering approaches (optimized press density and current collector foil priming) to increase energy density and reduce LMFP charge time to just 16 min (10%–80% SOC ...
Rebecca Sellers +6 more
wiley +1 more source
Fusion Method of Experiment and Finite Element for Constructing Process Performance Dataset of 22MnB5 Steel in Low-Temperature Hot Stamping. [PDF]
Li F, Wang L, Wu R.
europepmc +1 more source
Accelerating High‐Fidelity Airfoil Design via Physics‐Informed Video Diffusion Model
Physics‐informed video diffusion enables rapid inverse aerodynamic design by mapping target lift‐to‐drag response to airfoil geometries and full‐field flow distributions. Trained on 53 400 DNS samples, the model achieves over 90% fidelity with ∼30 s inference, while experimentally realized propeller designs demonstrate a practical pathway from ...
Yifeng Ai +9 more
wiley +1 more source
Novel prefabricated joints for underground silos with steel cavity and concrete-filled cavity: Axial compression tests and numerical simulations. [PDF]
Li J, Chuai J.
europepmc +1 more source
Updatable Closed‐Form Evaluation of Arbitrarily Complex Multiport Network Connections
The inverse design of electrically large wave devices often uses reduced‐order multiport models with discrete optimization, requiring many evaluations of complex interconnections between subsystems that differ only in a few blocks. This paper introduces a closed‐form framework enabling efficient Woodbury low‐rank updates of related, previous ...
Hugo Prod'homme, Philipp del Hougne
wiley +1 more source
Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko +3 more
wiley +1 more source
Computational modeling of vehicle-bridge interaction with experimental validation under moving loads for structural health monitoring. [PDF]
Valašková V, Kotrasova K.
europepmc +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source

