Results 181 to 190 of about 1,986,683 (337)

Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions. [PDF]

open access: yesComput Methods Appl Mech Eng
Wang J   +5 more
europepmc   +1 more source

Non‐Line‐of‐Sight Passive Ammonia Sensor Loaded With MXene/In2O3 Composites for Agricultural Products Quality Deterioration Detection

open access: yesAdvanced Science, EarlyView.
This study presents a flexible, battery‐free passive RFID sensing platform for NLoS monitoring of quality deterioration in fresh agricultural products. It utilizes a structurally decoupled spiral antenna‐LC electrode architecture to suppress electromagnetic interference caused by packaging.
Guoping Hu   +4 more
wiley   +1 more source

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

open access: yesAdvanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun   +9 more
wiley   +1 more source

An improved convex constrained conjugate gradient descent method for nonlinear monotone equations with signal recovery applications [PDF]

open access: gold
Habibu Abdullahi   +8 more
openalex   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

open access: yesAdvanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen   +12 more
wiley   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

open access: yesAdvanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong   +11 more
wiley   +1 more source

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