Results 241 to 250 of about 10,931,763 (339)
Carbon Balance and Contribution of Harvested Wood Products in China Based on the Production Approach of the Intergovernmental Panel on Climate Change. [PDF]
Ji C, Cao W, Chen Y, Yang H.
europepmc +1 more source
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 +4 more
wiley +1 more source
Effects of Apple, Oak, and Mesquite Wood Chips on the Physicochemical Properties, Volatile Organic Compounds, and Sensory Characteristics of Brined Smoked Goat Meat. [PDF]
Park J +5 more
europepmc +1 more source
Additives in Wood Products—Today and Future Development
D. Sandberg
semanticscholar +1 more source
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 +3 more
wiley +1 more source
Bio-Based Wood Adhesives: Current Advances in Polymer Architecture and Structure-Property-Sustainability Integration. [PDF]
Dangwilailux P +5 more
europepmc +1 more source
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 +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]
Dukarska D, Unisa M, Kawalerczyk J.
europepmc +1 more source
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 +7 more
wiley +1 more source
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 +7 more
wiley +1 more source

