Results 161 to 170 of about 322,364 (304)

Bone Healing Around Implants in Normal and Medically Compromised Conditions: Osteoporosis and Diabetes

Advanced Healthcare Materials, EarlyView.
xx xx. ABSTRACT Osseointegration of orthopedic and dental implants is influenced by local and systemic factors, including their physicochemical surface properties and the patient's overall health status. Titanium and its alloys have been a longstanding standard for bone implants due to their innate biocompatibility and mechanical properties.
Dainelys Guadarrama Bello, Fabio Variola, Antonio Nanci   +2 more
wiley   +1 more source

A machine learning approach for corrosion rate modeling in Patna water distribution network of Bihar. [PDF]

Sci Rep
Kumar S, Weesakul U, Kumar DR, Thangavel P, Wipulanusat W, Sunkpho J.   +5 more
europepmc   +1 more source

3D‐Printed Titanium Implants with Bioactive Peptide‐Polysaccharide Scaffolds for Personalized Bone Reconstruction

Advanced Healthcare Materials, EarlyView.
Porous 3D‐printed titanium implants are made bioactive by integration with a supramolecular peptide‐hyaluronic acid nanofibrillar scaffold, without the addition of exogenous cells or growth factors. Uniform filling of the implant architecture promotes vascularized, spatially homogeneous bone regeneration, significantly enhancing osteogenesis throughout
Noam Rattner, Vladimir Perlis, Eran Golden, Ariel Pokhojaev, Rachel Sarig, Itzhak Binderman, Michal Halperin‐Sternfeld, Solomon Dadia, Lihi Adler‐Abramovich   +8 more
wiley   +1 more source

Testing the Corrosion Rate of Prestressed Concrete Beams Under Variable Temperature and Humidity Conditions. [PDF]

Materials (Basel)
Szweda Z, Krak M, Czerniak S, Skórkowski A, Małek J, Sikorski J, Trojan J, Konečný P, Vacek M, Marek J.   +9 more
europepmc   +1 more source

Pioneering the Future: Principles, Advances, and Challenges in Organic Electrodes for Aqueous Ammonium‐Ion Batteries

Advanced Materials, Volume 37, Issue 13, April 2, 2025.
Leveraging the numerous advantages of ammonium‐ion (NH₄⁺)—including cost‐effectiveness, low corrosiveness, preferential orientation, and rapid diffusion kinetics—aqueous NH₄⁺ batteries (AAIBs) have gained significant attention. This review highlights and evaluates the progress of AAIBs utilizing organic electrode materials such as small molecules ...
Mangmang Shi, Xiaoyan Zhang
wiley   +1 more source

Assessment of the Corrosion Rate of Maraging Steel M350 Produced by Additive Manufacturing Using the Laser Powder-Bed Fusion Method and Surface Finishing Techniques. [PDF]

Materials (Basel)
Żaba K, Szczepańska M, Balcerzak M, Kac S, Żabinski P.   +4 more
europepmc   +1 more source

Role of Liquid Composition in the Transient Liquid Assisted Growth of Superconducting YBa2Cu3O7‐δ Films

Advanced Materials, EarlyView.
The Y supersaturation in the [Ba‐Cu(I/II)‐O] transient liquid composition is the driving force toward YBCO nucleation and growth in TLAG. Tuning the initial (Ba:Cu) molar ratio in the ink composition determines the YBCO epitaxial nucleation through supersaturation control.
Lavinia Saltarelli, Diana García, Laia Soler, Elzbieta Pach, Kapil Gupta, Daniel Sanchez‐Rodriguez, Jordi Aguilar, Víctor Fuentes, Eduardo Solano, Cristian Mocuta, Jordi Farjas, Xavier Obradors, Teresa Puig   +12 more
wiley   +1 more source

Changes in the corrosion rate and microstructure of nickel titanium wire in pandan leaves extract. [PDF]

J Orthod Sci
Nasution MA, Lubis HF, Sipayung IV, Sitepu IN.   +3 more
europepmc   +1 more source

Crystal Growth Engineering for Dendrite‐Free Zinc Metal Plating

Advanced Materials, EarlyView.
This research employed the rare‐earth ion dysprosium (Dy) to modulate aqueous zinc (Zn) metal plating. Integrated multiscale experiments and computational modeling unveiled the preferential adsorption of Dy on specific crystal facets, which activated screw dislocation‐driven Zn growth.
Guifang Zeng, Sharona Horta, Qing Sun, Malik Dilshad Khan, Maria Ibáñez, Yuhang Han, Shang Wang, Longqiu Li, Lijie Ci, Yanhong Tian, Andreu Cabot   +10 more
wiley   +1 more source

Machine learning-based corrosion rate prediction of steel embedded in soil. [PDF]

Sci Rep
Dong Z, Ding L, Meng Z, Xu K, Mao Y, Chen X, Ye H, Poursaee A.   +7 more
europepmc   +1 more source