Results 171 to 180 of about 814,962 (250)

Osseointegration Effects of 3D-Printed Porous Titanium-Tantalum Scaffolds with Different Tantalum Contents. [PDF]

ACS Omega
Liu G, Kong Z, Jia Z, Wang J.
europepmc   +1 more source

Lumped modeling of bubbling fluidized beds for high‐temperature processes

AIChE Journal, EarlyView.
Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh, Elyas Moghaddam, Wiebren de Jong, Johan T. Padding   +3 more
wiley   +1 more source

VEGF-sustained regulation and hydrogel-activated graded porous titanium scaffold for functional regeneration of the tendon-bone interface. [PDF]

Mater Today Bio
Lin T, Li J, Luo L, Sang H, Vashisth MK, Shen J, Luo X, Xu L, Pan J, Huang W.   +9 more
europepmc   +1 more source

Functionalized TiO2 Catalysts: Revolutionary Candidate for Low‐Temperature MgH2 and Prospects for Intelligent Integration

Advanced Intelligent Discovery, EarlyView.
Recent advances in TiO2 modification strategies: structure regulation and composite engineering for improved activity and functionality. TiO2 has emerged as a pivotal catalyst for enhancing MgH2, a high‐capacity solid‐state hydrogen storage material, owing to its structural versatility.
Xiaopeng Chu, Jinghao Wang, Haojie Shi, Chuanxin Peng, Jiacheng Qi, Ge Gao, Guoquan Na, Haibo Yu, Kela Xiao, Gangqiang Wu, Zhendong Yao   +10 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

In silico study of a bilayer titanium dental implant with a porous titanium and hydroxyapatite composite outer layer for enhanced osseointegration. [PDF]

Sci Rep
Dommeti VK, Valente F, Falcinelli C, Traini T, Ghosh G, Roy S.   +5 more
europepmc   +1 more source

Physics‐Informed Machine Learning for Predicting Phases and Density of Al2O3–TiB2 Composites Synthesized via Laser Ignition From the Al–TiO2–B2O3–H3BO3 Reactive System

Advanced Intelligent Systems, EarlyView.
This interactive physics‐informed machine learning model predicts the composition and density of advanced ceramic materials produced by self‐propagating high‐temperature synthesis. The model requires user input processing parameters and demonstrates high accuracy.
Evangelos Daskalakis, Geeta Sharma, Sarathkumar Loganathan, Andrew Scott, Animesh Jha   +4 more
wiley   +1 more source

Enhanced in Vitro Apatite-Forming Ability of Porous TiO2 Scaffolds

Titanium dioxide (TiO2) is a biocompatible material with good osteoconductive properties. It has been proved that TiO2 layer formed on Ti metal surface causes the advantageous interaction between bone tissues and Ti implant.
Narkevica, Inga, Ločs, Jānis, Stradiņa, Laura, Bugovecka, Lauma, Ozoliņš, Jurijs, Bērziņa-Cimdiņa, Līga   +5 more
core  

Animal experiment on osseointegration of porous titanium root analogue implants with composite CSn-TAK242 coating. [PDF]

Front Bioeng Biotechnol
Li H, Luo D, Gao Y, Wang D, Yang J, Xu Z.   +5 more
europepmc   +1 more source

Implantable Systems for Cardiovascular Treatment and Monitoring: Comparative Insights From Intracardiovascular and Extracardiovascular Technologies

Advanced Intelligent Systems, EarlyView.
A unifying device–cardiovascular interface framework is presented to classify implantable cardiovascular technologies as intracardiovascular blood‐contacting systems or extracardiovascular tissue‐only and blood‐handling architectures. Cross‐class comparison across shared semiquantitative criteria, including blood‐contact burden, biomimicry ...
Bergo Nicolò, Semproni Federica, Maselli Martina, Colli Andrea, Cianchetti Matteo, Ciuti Gastone, Stefanini Cesare, Menciassi Arianna   +7 more
wiley   +1 more source