Results 181 to 190 of about 3,934,777 (280)

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

Advanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita, E. Palmieri, I. Lucarini, L. Montaina, L. Maiolo   +4 more
wiley   +1 more source

In-situ ceramic nanoparticle assembly within wood microstructure for strong, tough, and resilient ceramic wood. [PDF]

Nat Commun
Du F, Tian Y, Niu Z, Cai K, Duan J, Guo H, Yang R, Zhang Y, Marquez JA, Zeng H, Liu X, Wang Q, Tao C, Ma H, Li T.   +14 more
europepmc   +1 more source

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

Effect of Wood and Non-Wood Pulp Fiber Morphology on Laboratory-Simulated Tissue Paper Creping Performance: Functional Properties and Explainable AI. [PDF]

ACS Omega
Urdaneta F, Marquez R, Viitala R, Franco J, Urdaneta I, Saloni D, Pawlak JJ, Jameel H, Gonzalez RW.   +8 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Paulownia Wood in the Production of Wood-Based Boards Used in Construction and Interior Design: Properties, Applications, and Prospects. [PDF]

Materials (Basel)
Dukarska D, Unisa M, Kawalerczyk J.
europepmc   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Aqueous lignin adhesive for high-performance wood bonding. [PDF]

Sci Adv
Zhou X, Wang Y, Hu S, Ou R, Qi H, Lu F, Ralph J, Yue F.   +7 more
europepmc   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Mitigating Hidden Climate Change Impacts of Timber Cities Critically Depends on Proactive Forest and Waste Management. [PDF]

Environ Sci Technol
Yayla A, Danneaux A, Schurer E, Gao M, Demirci C, Rose C, van Ewijk S, Myers RJ.   +7 more
europepmc   +1 more source