Results 91 to 100 of about 140,931 (302)

Machine Learning–Assisted Bio‐Interfacial Engineering Resolves Structural–Functional Conflicts in Nanocomposites

open access: yesAdvanced Materials, EarlyView.
A machine learning‐guided bio‐interfacial design strategy resolves the long‐standing strength–toughness–functionality trade‐off in nanocomposites. By efficiently mapping high‐performance regions in the composition–processing space, the approach delivers hierarchically entangled, nanosheet‐pinned architectures that combine mechanical robustness ...
Hao Wang   +10 more
wiley   +1 more source

Large‐Area 2D Metasurface‐Based Triboelectric E‐Skin Arrays: Contact & Proximity Tactile Mapping with Broadband Acoustic Readouts

open access: yesAdvanced Materials, EarlyView.
Metasurface‐engineered NC‐TENG arrays integrate tactile pressure mapping, non‐contact gesture sensing, and acoustic signal readouts in one ultrathin module, and outperforms pristine PDMS in terms of electrical output and real‐time spatial mapping for next‐gen wearables.
Injamamul Arief   +12 more
wiley   +1 more source

Reliability-Based Topology Optimization with Analytic Sensitivities [PDF]

open access: yes2018 AIAA Non-Deterministic Approaches Conference, 2018
Patrick R. Clark, Mayuresh Patil
openaire   +1 more source

Self‐Regulating Sodium‐Ion Battery Materials: From Phase Reconstruction to Functional Activation

open access: yesAdvanced Materials, EarlyView.
Self‐regulating sodium‐ion batteries hinge on programmable phase behavior in layered oxides, interphases that renew without growth, and electrolytes that steer solvation and chemistry. This review distills mechanisms into design rules that span composition, site and entropy tuning, and self‐buffering anodes, linking operando evidence to choices and ...
Hong Gao   +10 more
wiley   +1 more source

An Atomic‐Level Bimetallic MOF Platform Overcoming the Stability‐Performance Tradeoff for Laser Propulsion

open access: yesAdvanced Materials, EarlyView.
This work introduces an atomic‐level engineered bimetallic MOF Platform that resolves the inherent trade‐off between environmental stability and propulsion efficiency. By integrating robust Fe‐O bonds for hydrolysis resistance and enabling d‐orbital charge transfer (Fe3+→Cu2+) for enhanced photothermal conversion, the design achieves a highly durable ...
Senlin Rao   +3 more
wiley   +1 more source

Light‐Programmable Interfaces: From Molecular Photoswitching to Adaptive Membrane Separations

open access: yesAdvanced Materials Interfaces, EarlyView.
This review advances an interface‐centered framework for light‐responsive membranes, linking molecular photoswitches (azobenzene (AZO), spiropyran (SP), diarylethene (DAE), donor–acceptor Stenhouse adducts (DASA), photoacid) to integration strategies in polymeric, porous, self‐assembled, and mixed‐matrix systems.
Liangliang Zhang   +6 more
wiley   +1 more source

Roadmap to Precision 3D Printing of Cellulose: Rheology‐Guided Formulation, Fidelity Assessment, and Application Horizons

open access: yesAdvanced Materials Technologies, EarlyView.
This critical review presents a comprehensive roadmap for the precision 3D printing of cellulose. Quantitative correlations link ink formulation and rheological properties to print fidelity and final material performance. This framework guides the development of advanced functional materials, from biomedical scaffolds to electromagnetic shielding ...
Majed Amini   +3 more
wiley   +1 more source

Topology Optimization of a Patient-Specific Femoral Component for Total Knee Endoprosthesis

open access: yesApplied Sciences
This study presents a computational framework for the topology optimization of a patient-specific femoral component used in the total knee endoprosthesis.
Mohad Tanveer   +4 more
doaj   +1 more source

Fabrication, Properties, and Applications of Scaffolds for Bone Tissue Regeneration

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores cutting‐edge biomaterials and fabrication techniques for scaffolds in bone tissue regeneration. It conducts a critical comparison of various strategies, meticulously analyzes the key contradictions in the field, and outlines an integrated development path spanning from biomaterial selection to clinical application, while ...
Shangsi Chen, Min Wang
wiley   +1 more source

A Deep Reinforcement Learning Optimization Method Considering Network Node Failures

open access: yesEnergies
Nowadays, the microgrid system is characterized by a diversification of power factors and a complex network structure. Existing studies on microgrid fault diagnosis and troubleshooting mostly focus on the fault detection and operation optimization of a ...
Xueying Ding   +6 more
doaj   +1 more source

Home - About - Disclaimer - Privacy