Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions. [PDF]
Wang J +5 more
europepmc +1 more source
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
Monotone iterative and quasilinearization method for a nonlinear integral impulsive differential equation [PDF]
Li Yan, Zihan Rui, Bing Hu
openalex +1 more source
Physics-guided monotone stacking for reliable prediction of pile load-settlement curves using SPT-[Formula: see text] profiles and geometry. [PDF]
Tipu RK +3 more
europepmc +1 more source
Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency
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]
Habibu Abdullahi +8 more
openalex +1 more source
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 derivative-free RMIL conjugate gradient method for constrained nonlinear systems of monotone equations [PDF]
Xiaowei Fang
openalex +1 more source
A second-order dynamical system for solving inverse quasi-variational inequalities and its application. [PDF]
Gan T, Khan VK, Ahmad MK, Cai QB.
europepmc +1 more source
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

