Impact of solvent and low k material surface characteristics on pore sealing efficiency and porosity measurement

Bone-anchored titanium implants have revolutionized oral healthcare. Surface properties of oral titanium implants play decisive roles for molecular interactions, cellular response and bone regeneration. Nevertheless, the role of specific surface properties, such as chemical and phase composition and nanoscale features, for the biological in vivo performance remains to be established. Partly, this is due to limited transfer of state-of-the-art preparation techniques to complex three-dimensional geometries, analytical tools and access to minute, intact interfacial layers. As judged by the available results of a few randomized clinical trials, there is no evidence that any particular type of oral implant has superior long-term success. Important insights into the recruitment of mesenchymal stem cells, cell–cell communication at the interface and high-resolution imaging of the interface between the surface oxide and the biological host are prerequisites for the understanding of the mechanisms of osseointegration. Strategies for development of the next generation of material surface modifications for compromised tissue are likely to include time and functionally programmed properties, pharmacological modulation and incorporation of cellular components.

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Restoration and pore sealing of low-k films by UV-assisted processes

IEEE International Interconnect Technology Conference ◽

10.1109/iitc.2014.6831901 ◽

2014 ◽

Cited By ~ 2

Author(s):

Bo Xie ◽

Kelvin Chan ◽

David Cui ◽

He Ren ◽

Daemian Raj ◽

...

Keyword(s):

Pore Sealing ◽

Low K

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Control of focal adhesion dynamics by material surface characteristics

Biomaterials ◽

10.1016/j.biomaterials.2004.02.038 ◽

2005 ◽

Vol 26 (4) ◽

pp. 383-392 ◽

Cited By ~ 143

Author(s):

Annette Diener ◽

Barbara Nebe ◽

Frank Lüthen ◽

Petra Becker ◽

Ulrich Beck ◽

...

Keyword(s):

Focal Adhesion ◽

Surface Characteristics ◽

Material Surface

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Ultra- Thin Conformal Pore-Sealing of Low-k Materials by Plasma-Assisted ALD

ECS Transactions ◽

10.1149/1.2779081 ◽

2019 ◽

Vol 11 (7) ◽

pp. 167-176

Author(s):

Joseph L. Cecchi ◽

C. Jeffrey Brinker ◽

Ying-Bing Jiang

Keyword(s):

Pore Sealing ◽

Low K

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Characteristics Detection Method for Material Surface Based on Polarization Vision Information

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1006-1007.747 ◽

2014 ◽

Vol 1006-1007 ◽

pp. 747-751

Author(s):

Rong Hua Li ◽

Bao Zhang Qu ◽

Feng Xiang Zhai ◽

Ying Zhou

Keyword(s):

Mineral Resources ◽

Surface Characteristics ◽

Stokes Parameters ◽

Material Surface ◽

Polarization Vision ◽

Intensity Measurements ◽

Three Samples ◽

Ordinary Light ◽

Acquisition Device ◽

Polarization Characteristics

Comparing to ordinary light intensity measurements, polarization measurements have many advantages in studying the surface，atmosphere and exploring space. In order to obtain high-quality polarization information, the paper designs a three-channel synchronous acquisition device. It researches the feasibility of obtaining the characteristics information of material surface by polarization vision. It respectively measures the leaves, automobiles, cement wall these three samples’ reflected light’s polarization characteristics using the method of getting Stokes parameters. The experimental results show that the polarization characteristics have a great relationship with the characteristics of target, the measurement wavelength and the viewing angle. The method mentioned in this paper is vital to achieving material surface characteristics. At the same time , it provides a new way for geology and mineral resources exploration.

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The Effect of Ar/H2 Plasma Pretreatments on Porous K=2.0 Dielectrics for Pore Sealing by Self-Assembled Monolayers Deposition

Solid State Phenomena ◽

10.4028/www.scientific.net/ssp.195.146 ◽

2012 ◽

Vol 195 ◽

pp. 146-149 ◽

Cited By ~ 1

Author(s):

Y. Sun ◽

J. Swerts ◽

P. Verdonck ◽

A. Maheshwari ◽

J.L. Prado ◽

...

Keyword(s):

Plasma Temperature ◽

Self Assembled Monolayers ◽

Hydroxyl Groups ◽

K Value ◽

Oh Groups ◽

Surface Hydroxyl ◽

Pore Sealing ◽

Assembled Monolayers ◽

Self Assembled ◽

Low K

Self-assembled monolayers (SAMs) deposition is being recently explored to help sealing the pores of a k=2.0 material. In order to enable a covalent chemical low-k surface functionalization by SAMs, a hydroxyl groups density as high as 1 to 2.5 OH groups/nm2 is required. This surface modification must be carefully controlled to confine the k below 10%. In this paper, the effects of plasma temperature, time and power on the SAMs deposition and plasma-induced damage are investigated. The main findings are that there is always a trade-off between surface hydroxyl groups density and bulk damage. A thick modified layer allows the SAM molecules to penetrate inside the pores which results in a decreased porosity and an increased k value with respect to correspondent plasma-treated pristine substrates.

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Sealing of low-k dielectric (k=2.0) with self-assembled monolayers (SAMs) for the atomic layer deposition (ALD) of TiN

MRS Proceedings ◽

10.1557/opl.2013.716 ◽

2013 ◽

Vol 1559 ◽

Cited By ~ 2

Author(s):

Yiting Sun ◽

Elisabeth Levrau ◽

Michiel Blauw ◽

Johan Meersschaut ◽

Patrick Verdonck ◽

...

Keyword(s):

Atomic Layer ◽

Self Assembled Monolayers ◽

Low Dielectric Constant ◽

Hydroxyl Groups ◽

Low Dielectric ◽

Tin Film ◽

Layer Deposition ◽

Pore Sealing ◽

Assembled Monolayers ◽

Low K

ABSTRACTIn this work, a novel low dielectric constant (low-k) pore sealing approach was engineered by depositing firstly a sub-2 nm SAMs and then a 3 nm TiN barrier film. The low-k film was pretreated by plasma to introduce hydroxyl groups onto the surface, followed by SAMs deposition. Then a TiN film was deposited from tetrakis(dimethylamino)titanium (TDMAT) via ALD as a dielectric barrier. Penetration of Ti atoms into low-k was measured and used to evaluate the sealing ability of SAMs. For the samples covered with SAMs, around 90% reduction of Ti atoms penetration was achieved. The pore radius was reduced to below 0.5 nm after the barrier deposition. The ∆k after pretreatment and after SAMs are 0.1 and 0.16, respectively.

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APPLYING IMAGE PROCESSING TOOLS TO ANALYZE THE SURFACE CHARACTERISTICS OF NANO ALUMINA (NANOAL2O3) AND NANO TITANIUM (NANOTIO2)

Jurnal Teknologi ◽

10.11113/jt.v80.10915 ◽

2018 ◽

Vol 80 (4) ◽

Author(s):

Abdul-Adheem Zaily Hameed ◽

Muzhir Shaban Al-Ani ◽

Faik Hammad Anter

Keyword(s):

Image Processing ◽

Composite Material ◽

Texture Analysis ◽

Surface Texture ◽

Quantitative Description ◽

Surface Characteristics ◽

Material Surface ◽

Mean Values ◽

Gray Image ◽

Nano Alumina

Composite material is a material constructed of two or more materials that leads with different physical or chemical characteristics. Nano Alumina (NANO AL2O3) and Nano Titanium (NANO TIO2) are normally used to construct the composite material. The fundamental of texture analysis seeks to derive a general efficient and compact quantitative description of textures so that various mathematical operations can be used to achieve, compare and transform of texture characteristics. Many mechanical and physical methods are used to measure the surface characteristics. Some of these methods suffered from accurate description of material surface. In addition, the details of material surface are not clear via applying the traditional methods for surface analyzing. This work is concentrated on combining many functions and steps of image processing method to understand and analyze the surface characteristics of the composite material (Nano Alumina and Nano Titanium). The implemented approach including many steps: image enhancement, texture analysis, edge detection and contour analysis. This approach leads to explain, extract, analyze and evaluate the characteristics of surface texture of the composite material via measuring of mean values for original gray image, adjusted gray image, equalized gray image and adapted gray image. The average mean values of Nano Alumina are 103, 110, 128 and 134 for the applied method respectively. The average mean values of Nano titanium are 120, 123, 125 and 129 respectively. As a conclusion the implemented approach of surface texture analysis indicated that there is a significant improvement at the surface characteristics for both equalization and adaptive methods compared with the adjustment method.

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