Dura mater assists 3D printed porous titanium scaffolds in healing rabbit calvarial defects

Wang, Tong; Yu, Zhou; Song, Yong; Liu, Yang; Chen, Lin; Dang, Juanli; Zeng, Xianhui; Guo, Shuzhong; Su, Yingjun; Song, Baoqiang

doi:10.1016/j.mtcomm.2022.105111

Cited by 2 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The remaining peaks centered at 717.09 and 724.18 eV are assigned to satellite peaks (expressed as Sat.). [41] Figure 3f depicts the Co 2p spectrum with six peaks. The 780.56/783.35 and 791.16/796.2 eV peaks originate from the Co 2p 3/2 and Co 2p 1/2 of Co 0 and Co 2+ species, respectively.…”

Section: Synthesis and Structure Analysis Of Wpcm/fe-comentioning

confidence: 99%

N, O‐Doped Walnut‐Like Porous Carbon Composite Microspheres Loaded with Fe/Co Nanoparticles for Adjustable Electromagnetic Wave Absorption

Dou,

Zhang,

Zhao

et al. 2024

Small

View full text Add to dashboard Cite

This study addresses the challenge of designing simple and environmentally friendly methods for the preparation of effective electromagnetic wave (EMW) absorbing materials with tailored microstructures and multi‐component regulation. N, O doped walnut‐like porous carbon composite microspheres loaded with FeCo nanoparticles (WPCM/Fe–Co) are synthesized through high‐temperature carbonization combined with soap‐free emulsion polymerization and hydrothermal methods, avoiding the use of toxic solvents and complex conditions. The incorporation of magnetic components enhances magnetic loss, complementing dielectric loss to optimize EMW attenuation. The unique walnut‐like morphology further improves impedance matching. The proportions of Fe and Co components can be adjusted to regulate the material's reflection loss, thickness, and bandwidth, allowing for fine‐tuning of absorption performance. At a low filling ratio (16.7%), the optimal WPCM/Fe–Co composites exhibit a minimum reflection loss (RLmin) of −48.34 dB (10.33 GHz, 3.0 mm) and an overall effective absorbing bandwidth (EAB) covering the entire C bands, X bands, and Ku bands. This work introduces a novel approach to composition regulation and presents a green synthesis method for magnetic carbon composite absorbers with high‐performance EMW absorption at low loading.

show abstract

Section: Synthesis and Structure Analysis Of Wpcm/fe-comentioning

confidence: 99%

N, O‐Doped Walnut‐Like Porous Carbon Composite Microspheres Loaded with Fe/Co Nanoparticles for Adjustable Electromagnetic Wave Absorption

Dou,

Zhang,

Zhao

et al. 2024

Small

View full text Add to dashboard Cite

show abstract

“…In today's engineering field, the research and application of porous materials have been paid more and more a ention. In particular, as an important functional material, porous titanium has excellent mechanical properties and biocompatibility, so it is widely used in orthopedic implants [1][2][3]. The research on the mechanical properties of porous titanium materials is the basis for further research and application of porous titanium.…”

Section: Introductionmentioning

confidence: 99%

Application of Machine Learning in Constitutive Relationship Prediction of Porous Titanium Materials for Artificial Bone

Tan,

Li,

Liu

2024

Metals

View full text Add to dashboard Cite

Artificial bone porous titanium materials are widely used in orthopedic implants. However, the traditional constitutive model is often limited by the complexity and accuracy of the model, and it is difficult to accurately and efficiently describe the constitutive relationship of porous titanium materials. In this study, structured data were established based on experimental data from published papers, and goodness of fit (R2), mean absolute error (MAE) and mean absolute percentage error (MAPE) were used to evaluate the model. The prediction effect of random forest (RF), multi-layer perceptron (MLPR) and support vector machine (SVR) on the constitutive relationship of porous titanium materials was discussed. Through comprehensive comparison, it can be seen that the RF model with max_depth of 24 and n_estimators of 160 has the best performance in prediction, and the average absolute percentage error is less than 4.4%, which means it can accurately predict the temperature sensitivity and strain rate sensitivity of porous titanium materials. And its predictive ability is better than that of the traditional constitutive model, which provides a new idea and method for the constitutive modeling of porous titanium materials.

show abstract

Dura mater assists 3D printed porous titanium scaffolds in healing rabbit calvarial defects

Cited by 2 publications

References 30 publications

N, O‐Doped Walnut‐Like Porous Carbon Composite Microspheres Loaded with Fe/Co Nanoparticles for Adjustable Electromagnetic Wave Absorption

N, O‐Doped Walnut‐Like Porous Carbon Composite Microspheres Loaded with Fe/Co Nanoparticles for Adjustable Electromagnetic Wave Absorption

Application of Machine Learning in Constitutive Relationship Prediction of Porous Titanium Materials for Artificial Bone

Contact Info

Product

Resources

About