A Comprehensive Review on Cellulose Nanofibers, Nanomaterials, and Composites: Manufacturing, Properties, and Applications. [PDF]
Antony Jose S+6 more
europepmc +1 more source
Application and Innovation of Automotive Electronics Structural Design in Center Console Instruments
Puying Jia
openalex +1 more source
Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley +1 more source
Metal Surface Treatments for Enhanced Heat Transfer in Metal-Composite Hybrid Structures. [PDF]
Kim DH, Lee W, Park JB, Lee JU.
europepmc +1 more source
A methodology for Electrics/Electronics platform release management in the automotive domain
Lennart Holsten+2 more
openalex +1 more source
Information Dense and Industry Scalable Accelerated Formation
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker+3 more
wiley +1 more source
Trends and Future Projections in Ultrasonic Welding Research for Hybrid Materials. [PDF]
Silva JJ+4 more
europepmc +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan+5 more
wiley +1 more source
MXene Surface Architectonics: Bridging Molecular Design to Multifunctional Applications. [PDF]
Huang W, Wang J, Lai W, Guo M.
europepmc +1 more source
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla+4 more
wiley +1 more source