ABSTRACT Growing demand for healthier beverages is driving innovation in the wine sector, with dealcoholized wine emerging as a promising alternative. However, little is known about the contextual conditions under which consumers would choose dealcoholized wine, particularly in countries with strong wine traditions. To fill this gap, this work examines
Giovanna Piracci +4 more
wiley +1 more source
Quantitative evaluation of thermal runaway in lithium-ion batteries under critical heating conditions to enhance safety. [PDF]
Mahdy OS +7 more
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
External Barrier and Internal Attack: Synergistic Effect of Microcapsule Fire Extinguishing Agent and Fine Water Mist on Suppressing Lithium-Ion Battery Fire. [PDF]
Wang X +5 more
europepmc +1 more source
Combined Battery Calorimetry and Simulation for Prevention of Thermal Runaway and increased Safety
Ziebert, Carlos +5 more
openaire +2 more sources
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Solvation-driven interphase engineering and mechanical failure pathways in large-scale anode-free lithium metal batteries. [PDF]
Joraleechanchai N +4 more
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Critical Perspectives on the Design of Polymeric Materials for Mitigating Thermal Runaway in Lithium-Ion Batteries. [PDF]
Zhou H +11 more
europepmc +1 more source
Dynamic Obstacle Avoidance of Metamorphic Microrobots Using Concentric Sector Navigator
Metamorphic magnetic microrobots are navigated using a concentric sector navigator for dynamic obstacle avoidance in both microroller and swarm states. After microroller transport, citrate‐triggered dissolution releases nanoparticles that reassemble into a controllable swarm.
Zhaowen Su +4 more
wiley +1 more source

