Electronic Data Sheets

Electronic Data Sheets allow us to predict the outcome of laboratory processes based on prior data. For each tool, a custom-tuned simulator can be used to model the data in the database. This also allows us to track equipment performance.
As with any such effort, it only works if people submit their data to the database, and if such data is measured reliably and accurately. It takes less than a minute to enter your data, and less than a minute to produce a custom graph with automatic data regression.

Entering Data to the Database:

To enter data only takes about a minute. First go to the eData website: http://www.lelandstanfordjunior.com/eData.html Select the appropriate tool or process module from the "Enter Data" column.
Fill out the form, and press "Enter Data". That's it. Less than one minute.

Outside of the lab, you will need a username and password to access the database. Contact me (ericp@snf) for that, or get it from another lab user.

Viewing Data in the Database:

To view the data in the database, visit the same eData page, and select "View Data in the Log", or navigate from the link on the Data Entry form.
The data is above- you are positioned at the end (most recent end) of the database. You can click on any column Header/Footer to sort the database by that column. For instance, to sort by "Process", click on the "Process" footer, and the database will be sorted by process name. You can sort by multiple criteria by sequentially selecting the columns. For instance, if you want the database sorted first by "Process" and then by "Time", you should click on the "Time" column FIRST, then click on the "Process" column (reverse order). This will arrange the database by process, but within each process name, the data will be sorted by time.

Instructions for Producing Graphs:

With just a few clicks, you can produce a custom graph with exactly the data you want.
First select the x-axis and y-axis for your plot with the buttons. You must select both an "x" and a "y". Next, you can optionally select criteria to filter the data set that will be plotted. If left blank, all values for that field will be graphed. If any value(s) are specified for a field, those value(s) will be the limiting criteria for the plot:
As a final note, all of the fields are mutually exclusive: In The example:
Date Process Thickness Time Rate Metrology Email Comments
LONH378 <2000 >30 <120 <100 nanospec maurice pp=
the data would be limited to: All runs using Process LONH378, also having a thickness <2000 A, also with a recipe time >30minutes but <120 minutes, also with a rate <100A/min, also measured by nanospec, also run by maurice, also where the user noted the partial pressure (pp=).

Again, leaving any field blank will include all data from that field.

Data Regression

A least-squares regesssion line will also be plotted through the data (on the data plotted, not the whole data set). The equation for this regression line will be displayed in the bottom right of the graph to help you predict the outcome. If your x-axis is "Date", the regression is limited to just a least-squares average of the data points in the range.

Custom calculator

If you select Thickness (y) versus Time (x): For the data set you selected, based on your inclusion criteria, a custom calculator will be produced.
This calculator is based on the Data Regression performed on your data set. You should carefully observe the plot to make sure that the fit (green line) is reasonable, and that you are not extrapolating too far off of the data set. This is as close as you can get to a custom-tuned simulator for your process.

For Thermal Oxidation:

For thermal oxidation, Thickness (y) versus Time (x) data, the fit will be based on a Deal-Grove model. The "out-of-the-box" deal grove model will be plotted in blue, the Deal-Grove fit is plotted in green.
For the special case of dry oxidation, a Massoud model (out-of-the-box) will be plotted as well, in purple.

Uploading an Image to the Database:

You can upload an image and associate that image with a run for which you have already entered data. After entering the data, go back to the list of logged runs (yours will be at the bottom if you just entered it. If you don't see it, click on "reload" in your browser to update. After your email in the email column, there will be a icon. Clicking on this icon will go to a file upload page. Select the image that you would like to upload and associate with this run. (note, file name will not be preserved.) After returning to the list of logged runs (again, maybe you need to press reload in your browser), you should see an image icon at the beginning of the comments section.
The icon will depend on the type of file that you uploaded. Upload file types are:
GIF, JPG, TIF, BMP
Adobe Acrobat
Microsoft Excel
Microsoft PowerPoint
Microsoft Word
ZIP file

To View an image in the database, simply click on the image icon in the comment field. There may be more than one image associated with each data entry.


Comments? Suggestions? Complaints?

Email me: ericp@snf.

Run the oxide thickness calculator to get my full address.