Results 61 to 70 of about 93,282 (261)

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?

open access: yesAdvanced Materials, EarlyView.
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley   +1 more source

Tailoring Symmetry Breaking in Engineered van der Waals Superlattices

open access: yesAdvanced Materials, EarlyView.
We pioneer a scheme to tailor superpotentials in graphene based on intrinsic substrate electronic orders rather than twist angle. The resulting superpotential folds graphene's Dirac cones to either Γ$\Gamma$ or K‐points, leading to distinct symmetry behaviors.
Keda Jin   +7 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Eutectic Gallium‐Indium as a Potential Non‐Toxic Replacement in Mercury Intrusion Porosimetry

open access: yesAdvanced Materials Technologies, EarlyView.
A practical alternative to mercury intrusion porosimetry is presented using non‐oxidized eutectic gallium‐indium. An eGaIn Filling Station enables oxygen‐free preparation of standard penetrometers, and the resulting measurements faithfully reproduce pore‐size distributions and intrusion volumes measured with mercury across several standard reference ...
Denis Schuetz   +8 more
wiley   +1 more source

Forest terrain and canopy height estimation using stereo images and spaceborne LiDAR data from GF-7 satellite

open access: yesGeo-spatial Information Science
Accurate estimation of forest terrain and canopy height is crucial for timely understanding of forest growth. Gao Fen-7 (GF-7) Satellite is China’s first sub-meter-level three-dimensional (3D) mapping satellite for civilian use, which was equipped with a
Liming Du   +6 more
doaj   +1 more source

Skin‐Like Tri‐Modal Sensors Based on Soft Piezoelectric and Ionic Composites

open access: yesAdvanced Materials Technologies, EarlyView.
Inspired by the multimodal perception of human skin, a soft, skin‐like tri‐modal sensor is presented. The device incorporates an ionically conductive, piezoelectric, elastic composite as its active layer, enabling independent detection of temperature, static strain, and dynamic strain within a single two‐terminal architecture.
Liren Wang   +9 more
wiley   +1 more source

The Evolution of Aerosol Jet Printing, A Review: Enhancing Material Versatility and Improvements for Next‐Generation Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee   +2 more
wiley   +1 more source

Insights on the Working Principles of a CNN for Forest Height Regression From Single-Pass InSAR Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The increasing use of artificial intelligence (AI) models in Earth Observation (EO) applications, such as forest height estimation, has led to a growing need for explainable AI (XAI) methods.
Daniel Carcereri   +3 more
doaj   +1 more source

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