Results 141 to 150 of about 6,478,030 (244)
Mineralization alone does not establish a mature bone organoid. This Review integrates biological foundations, materials design, adaptive remodeling, and translational validation through the development‐to‐remodeling continuum (DRC). By separating biological functions from the evidence supporting them, the framework exposes critical gaps in current ...
Xijie Tang +4 more
wiley +1 more source
DDR-PINN: A Dynamic Domain–Gradient Reweighting Physics-Informed Neural Network
Physics-informed neural networks (PINNs) solve partial differential equations (PDEs) by embedding physical conditions as soft penalties into the loss function.
Shangpeng Lei +5 more
doaj +1 more source
A self‐powered PCL/gelatin‐PVDF‐TrFE/MXene conjugated electrospun membrane integrates biocompatibility with enhanced piezoelectric responsiveness. Mechanical deformation is converted into localized electrical signals that stimulate wound‐repair cells proliferation and migration, promote angiogenesis and tissue remodeling, and accelerate full‐thickness ...
Diandian Li +11 more
wiley +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
The hardware implementation of an artificial neural network using stochastic pulse rate encoding principles [PDF]
In this thesis the development of a hardware artificial neuron device and artificial neural network using stochastic pulse rate encoding principles is considered.
Glover, John Sigsworth
core
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Neural Network Based Model Refinement [PDF]
In this paper, model bases and model generators are presented in the context of model refinement. This article proposes a neural network based model refinement technique for software metrics estimation.
Adrian VISOIU
core

