Results 121 to 130 of about 8,470 (219)

A Janus‐Like Bio‐Inspired Strategy for 3D‐Printed Bimetallic Metamaterials with Excellent Thermal‐Protection and Load Bearing Capacity

open access: yesAdvanced Science, EarlyView.
A Janus‐like bio‐inspired strategy is proposed for integrally 3D‐printed bimetallic metamaterials. Inspired by shell bilayers, a heat‐resistant AlSiFeMnNiMg alloy and a SiC‐reinforced AlSi10Mg with different SiC volume fractions are arranged as an architected pair.
Zhicheng Dong   +5 more
wiley   +1 more source

Dynamic Covalent Networks of Molecular Clusters for Hard and Impact‐Resistant Glass with Feasible Processability

open access: yesAdvanced Science, EarlyView.
Molecular granular material glass is fabricated by crosslinking sub‐nm POSS clusters with dynamic borate ester bonding while the materials combine high transparency, modulus, and hardness with superior impact resistance and (re)processability, offering a promising strategy for creating robust yet highly processable organic glasses.
Haiyan Xiao   +4 more
wiley   +1 more source

All‐in‐One Underwater Quality Evaluation Metamaterial With Mechanical Robustness, Sound Attenuation, and Diffuse Reflection

open access: yesAdvanced Science, EarlyView.
In this work, a bioinspired all‐in‐one underwater quality evaluation metamaterial, combining sound attenuation, diffuse reflection, and mechanical robustness, is proposed based on jumping spider locomotion and human skeletal biomechanics. Meanwhile, a CNN‑driven quality evaluation framework is established for theoretically dimension‐reduced ...
Hongze Li   +8 more
wiley   +1 more source

Beyond Cartilage‐Inspired Supramolecular Polyurethane for Adaptive Impact‐Resistant Protection with Robustness, Self‐Healing, and Recyclability

open access: yesAdvanced Science, EarlyView.
Cartilage‐inspired supramolecular polyurethane–urea (PU‐BAMB) elastomers are developed by integrating hierarchical hydrogen bonding and π–π stacking interactions within a dynamically reconfigurable network. This synergistic supramolecular architecture overcomes the intrinsic trade‐off between rigidity and recoverability, imparting exceptional toughness,
Rou‐Han Lai   +14 more
wiley   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

open access: yesAdvanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao   +3 more
wiley   +1 more source

Molecularly Bridged Heterointerface Engineering: Designing Transparent, Wear‐Resistant, Hard yet Flexible Optoelectronic Protective Film

open access: yesAdvanced Science, EarlyView.
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

Leveraging Digital Advanced Manufacturing to Enable Polymer Electrolyte Fuel Cells With Ultrahigh Gravimetric Power Density

open access: yesAdvanced Energy Materials, EarlyView.
This study employs digital advanced manufacturing to develop lightweight, compact porous distributors as alternatives to conventional bipolar plates in PEM fuel cells. A graphene‐coated nickel foam achieves a power density of 1.52 W cm−2, while titanium‐based designs deliver lightweight solutions: an LPBF‐fabricated Gyroid lattice reaches 1.36 W cm−2 ...
Hadi Heidary   +9 more
wiley   +1 more source

The Effect of Laser Surface Hardening on the Microstructural Characteristics and Wear Resistance of 9CrSi Steel. [PDF]

open access: yesMaterials (Basel)
Sagdoldina Z   +5 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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