Results 231 to 240 of about 3,155,393 (333)

Surface Modification of Sol–Gel Synthesized Ba0.85Ca0.15Zr0.1Ti0.9O3 using Stearic Acid Additives

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores a novel approach to enhance the piezoelectric performance of lead‐free BCZT ceramics synthesized via the sol–gel method. By coating the BCZT powder with only a 0.69 nm stearic acid layer, the electromechanical response is significantly boosted up to 359 pC N−1, revealing promising implications for high‐performance sensor and ...
Michelle Weichelt   +6 more
wiley   +1 more source

Unlocking the Power of Quercetin‐Encapsulated Mesoporous Bioactive Glass Nanoparticles: A Multifunctional Approach to Bone Regeneration

open access: yesAdvanced Engineering Materials, EarlyView.
Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello   +5 more
wiley   +1 more source

Electrochemical heat engine

open access: green, 1978
Guy R. B. Elliott   +2 more
openalex   +1 more source

The Structural Refinement of Commercial‐Purity Copper Processed by Equal Channel Angular Pressing with Low Strain Amplitude

open access: yesAdvanced Engineering Materials, EarlyView.
Equal channel angular pressing of commercial pure copper under low strain amplitude (≈0.48) induces concurrent continuous and localized discontinuous dynamic recrystallization, forming a duplex structure influenced by strain heterogeneity and recovery. Moderate hardening after 4–12 passes results from progressive high‐angle grain boundary formation via
Paula Cibely Alves Flausino   +6 more
wiley   +1 more source

Machine Learning‐Based Design of 3D‐Printable Microneedles for Enhanced Tissue Anchoring with Reduced Tissue Damage

open access: yesAdvanced Engineering Materials, EarlyView.
A machine learning‐driven framework is introduced to optimize 3D‐printable microneedles for enhanced tissue anchoring and reduced insertion damage. The optimized design achieves a 6.0‐fold improvement in pull‐out‐to‐penetration energy ratio over conventional shapes.
Jegyeong Ryu   +5 more
wiley   +1 more source

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