A molecular‐bridging heterogeneous interface engineering strategy is introduced to combine a polyhedral oligomeric silsesquioxane (POSS)‐based hard coating with a colorless polyimide (CPI)‐based flexible layer. The robust heterogeneous interface endows the integrated system with the superior properties of both layers and their synergistic ...
Huiyang Lu +5 more
wiley +1 more source
Simplified Fracture Mechanics Analysis at the Zinc-Adhesive Interface in Galvanized Steel-CFRP Single-Lap Joints. [PDF]
Dybizbański MA, Rzeszut K.
europepmc +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Enhanced Fracture Energy and Toughness of UV-Curable Resin Using Flax Fiber Composite Laminates. [PDF]
Ou M +6 more
europepmc +1 more source
Mode I Fracture Toughness Behaviour of Recyclable Piezoelectric Composites
Miray Yasar +4 more
openaire +1 more source
Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries
This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao +5 more
wiley +1 more source
Evolutive phase field modelling of fracture behavior of cemented paste backfill under Mode-I loading condition. [PDF]
Yang J, Fang K, Hao S, Feng G, Cui L.
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
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
Control Strategies in Guanine Biocrystallization
Biological guanine crystals produce spectacular photonic phenomena in animals and hold great promise as new, sustainable optical materials. We review how organisms precisely control the structure, morphologies, and resulting optical properties of these crystals using a set of ingenious ‘design’ strategies, including control of pH, template‐directed ...
Shashanka S. Indri +2 more
wiley +2 more sources
Comparative evaluation of mechanical properties between dual-layer and bonded three-dimensional printed denture base materials: An in vitro study. [PDF]
Chander NG +3 more
europepmc +1 more source

