Finding the Best Spin-Coating Thickness Model

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In summary, the conversation discusses the use of a gel deposited onto a surface using a spin-coater. The individual is unsure which model to use in order to predict the thickness of the gel based on experimental parameters. They have looked at two papers but have found the math to be too complicated, and are seeking a simpler equation or model. They mention that photoresist manufacturers have listed expected layer thicknesses for their materials and suggest comparing the gel to a known photoresist. They also mention a spin coater product/service and ask for other options to consider.
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gkiverm
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I'm planning to deposit a thin layer of a gel (~10 - 100 uM), which will later be heat cured using a spin-coater. I've looked at a few models to predict the thickness of the gel based on experimental parameters (rpm, viscosity, time, etc.) but am still unsure on which model is the best to go with. Some of the papers I've looked at...

1) http://scitation.aip.org/docserver/fulltext/aip/journal/jap/29/5/1.1723300.pdf?expires=1405288372&id=id&accname=2098200&checksum=5FCAD27BDE3C78763F0067815FB0BC34

2) http://scitation.aip.org/docserver/fulltext/aip/journal/jap/56/4/1.334049.pdf?expires=1405290946&id=id&accname=2098200&checksum=DA1B621E7F9DD6BDB4490AFD442D0674

A good amount of the math is too complicated for me, so I'm just looking for an equation/model I can use to predict what experimental parameters I should use to achieve a certain thickness (roughly).

Thank you
 
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  • #2
Photoresist manufacturers typically list the expected layer thickness dependence on rpm, time, etc... on their material spec sheet. These numbers are nominal, and some trial and error is expected.

I don't know what type of gel your using, but maybe you can compare it to a known photoresist.
 
  • #3
I have been looking for this product/service and I found this one used spin coater I am not sure about the quality or the origin of their offering. Has anyone have looked into this before? If you have any other options you know are worth the time to check out, please post them here. Thanks!
 

1. What is spin-coating and why is it important in thin film deposition?

Spin-coating is a technique used in thin film deposition where a liquid solution is applied to a substrate and then spun at high speeds to create a thin, uniform film. This technique is important because it allows for precise control over the thickness and quality of the film, making it a widely used method in various industries such as microelectronics, optoelectronics, and photovoltaics.

2. How do I determine the best spin-coating thickness for my specific application?

The best spin-coating thickness for a specific application depends on several factors such as the properties of the material being coated, the desired film thickness, and the equipment used. To determine the best thickness, it is important to consider the specific requirements and limitations of your application and conduct experiments to find the optimal spin-coating conditions.

3. What is a spin-coating thickness model and how does it work?

A spin-coating thickness model is a mathematical model that predicts the thickness of a spin-coated film based on various parameters such as the viscosity of the solution, the rotational speed, and the time of spinning. It takes into account the physical and chemical properties of the solution and the substrate to calculate the expected film thickness.

4. Are there different types of spin-coating thickness models and how do I choose the right one?

There are various spin-coating thickness models available, each with their own set of assumptions and limitations. It is important to carefully consider the specific requirements of your application and choose a model that best fits your needs. Consulting with experts in the field or conducting comparative studies can also help in choosing the most suitable model.

5. Can spin-coating thickness models be used for all types of materials?

Spin-coating thickness models are generally applicable to a wide range of materials, including polymers, metals, and semiconductors. However, it is important to note that these models are based on certain assumptions and may not accurately predict the thickness of all types of materials. It is recommended to validate the model for your specific material through experimental data.

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