Results 171 to 180 of about 36,660 (295)

A Comparison of Classical Constitutive Models for High‐Entropy Alloy Behavior: Effects of Medium Strain Rates and Temperature on Plastic Flow

open access: yesMaterials Genome Engineering Advances, EarlyView.
Four constitutive models are evaluated for FeCoNiCr and Al0.6FeCoNiCr HEAs under wide temperature and strain‐rate conditions. The predictive capabilities and limitations of each model are then critically assessed, with particular emphasis on strain rate sensitivity, temperature dependence, and physically unrealistic responses at extreme loading ...
Yooseob Song   +3 more
wiley   +1 more source

Incidental crossed fused renal ectopia in a low-resource setting: Lessons from Ghana on diagnostic accuracy and imaging practice. [PDF]

open access: yesRadiol Case Rep
Allorsey G   +7 more
europepmc   +1 more source

Effect of recycling on mechanical and physical properties of polycarbonate/acrylonitrile–butadiene–styrene/poly(methyl methacrylate) (PC/ABS/PMMA) blends

open access: yesPolymer International, EarlyView.
The 100% recycling of optimal polycarbonate/acrylonitrile–butadiene–styrene/poly(methyl methacrylate) (PC/ABS/PMMA) blends, identified through the mixture design, over multiple successive cycles provides valuable insights into their life cycle. Subsequently, chemical, rheological, thermal and mechanical characterizations will be carried out to evaluate
Rahma Ezzeddine   +3 more
wiley   +1 more source

Conjugated Polymers Engineered for Flexible/Stretchable Electronics

open access: yesJournal of Polymer Science, EarlyView.
This review highlights glass transition temperature (Tg) as the central parameter linking molecular structure to device performance in conjugated polymers. By tuning backbone rigidity, side‐chain architecture, and dynamic bonding, Tg governs the balance between π–π stacking–enabled charge transport and mechanical compliance.
Yunchong Yang   +5 more
wiley   +1 more source

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

open access: yesPropellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray   +5 more
wiley   +1 more source

Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim   +3 more
wiley   +1 more source

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