Redefining Crystalline Silicon: Unlocking New Horizons in Transparent and Flexible Photovoltaics
Advanced Energy Materials, EarlyView.Crystalline silicon is presented as a platform for transparent and flexible photovoltaics. This review article outlines design principles for optical strategies to fabricate transparent silicon solar cells, mechanical strategies that mitigate silicon brittleness, and emerging concepts such as singlet‐fission spectral conversion and tandem architectures,
Kangmin Lee
wiley +1 more source
Fracture Toughness of Short Fibre-Reinforced Composites-In Vitro Study. [PDF]
Materials (Basel)Kamourieh N +4 more
europepmc +1 more source
In Situ Evolution of Artificial Interphase Enabling Stable, High‐Performance Lithium Metal Batteries
Advanced Energy Materials, EarlyView.An evolutionary artificial interphase is presented for stable lithium metal batteries. A Mg3N2‐based layer spontaneously evolves into a hybrid interphase enriched with superionic Li3N and lithiophilic Mg‐Li alloy during cycling. This dynamic, self‐reinforcing mechanism effectively suppresses dendrite growth and enables exceptional long‐term cycling ...
Sangcheol Lee +4 more
wiley +1 more source
Fracture Toughness Behaviour of Nickel Alloy Steel 1.5662. [PDF]
Materials (Basel)Afzali N, Stranghöner N, Langenberg P.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Distributions of intrinsic stacking fault energies (ISFE) among different slip planes in the face‐centered cubic Co2Ni2Ru alloy, predicted by three foundation potentials (DPA, Orb, and SevenNet) and density functional theory (DFT) calculations. This study evaluates the efficacy of three foundation potentials (FPs)—SevenNet, DPA, and Orb—in predicting ...
Subah Mubassira +8 more
wiley +1 more source
A Method for Determining the Fracture Toughness of Shotcrete Materials Subjected to Freeze-Thaw Cycles. [PDF]
Materials (Basel)Han X +5 more
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Fracture toughness of mixed-mode anticracks in highly porous materials. [PDF]
Nat CommunAdam V +4 more
europepmc +2 more sources
Fracture properties of dolomite and prediction of fracture toughness based on BP-ANN. [PDF]
Sci RepGuo Y, Liu D, Rao J, Guo F, Peng Y.
europepmc +1 more source
Fluorescent Hydrogel‐Based Strain Sensor With Machine Learning‐Augmented Performance
Advanced Intelligent Discovery, EarlyView.Fluorescent hydrogel strain sensor based on carbon quantum dots enabling optical readout of deformation through strain‐dependent emission changes, coupled with Random Forest analysis to capture nonlinear fluorescence‐concentration relationships and identify optimal sensing conditions. Hydrogels are ideal matrices for bio‐integrated wearable sensors due
Tailai Chen +4 more
wiley +1 more source