Pore Structure Characteristics of Carbonate Rocks and Their Influence on Permeability. [PDF]
Gang S+6 more
europepmc +1 more source
MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan+16 more
wiley +1 more source
Impact of Mixed-In Polyacrylic- and Phosphonate-Based Additives on Lime Mortar Microstructure. [PDF]
Valdez Madrid DE+4 more
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Magnetically Guided Mechanoactive Mineralization Scaffolds for Enhanced Bone Regeneration
A 3D‐printed ‘rebar‐concrete’ inspired scaffold (PGS‐P@MGel) synergizes spontaneous biomineralization with magneto‐mechanical stimulation through PDA@Fe3O4‐embedded hydrogel. This dual biointerface activates Piezo1/β‐catenin/YAP mechanotransduction axis, enhancing BMSCs osteogenesis and angiogenesis simultaneously.
Xuran Guo+10 more
wiley +1 more source
Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts. [PDF]
Onyelowe KC+7 more
europepmc +1 more source
Effects of Void Characteristics on the Mechanical Properties of Carbon Fiber Reinforced Polyetheretherketone Composites: Micromechanical Modeling and Analysis. [PDF]
Zhang Y+5 more
europepmc +1 more source
Thermal Insulation Performance of Epoxy-Based Intumescent Coatings: Influence of Temperature-Induced Porosity Evolution on Heat Transfer Resistance. [PDF]
Hafiz T+6 more
europepmc +1 more source
Synthesis, physical characteristics, and biocompatibility test of chitosan-alginate-fucoidan scaffold as an alternative material for alveolar bone substitution. [PDF]
Hamrun N+10 more
europepmc +1 more source
Research on the mechanism of pore structure on water transportation in cement-based materials. [PDF]
Hao E+8 more
europepmc +1 more source
Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach. [PDF]
Yu F, Chu W, Zhang R, Gao Z, Yang Y.
europepmc +1 more source