Joining Gredig Research Lab
How to Join the Gredig Molecular Thin Film Laboratory
Checklist
Basic research in the Gredig Molecular Thin Film Lab is open to both undergraduate and graduate students. The most important pre-requisite is interest. Preparation to become a successful contributor begins with a few skills that can be learned and should be approached in this sequence.
- contact the group leader, Dr. Gredig
- read about CNSM safety in particular about
- contact the CNSM safety office and complete all general safety training and quizzes.
- read research literature (see Section 2)
- familiarize yourself with some of the research instruments and their Standard Operating Procedures (SOP)
- organize yourself with the analysis software (see Section 4)
- read about ethics and proper conduct (see Section 5)
- submit a photo for the Lab Group page
- acknowledge and agree on the research lab responsibilities, expectations and duties (form from Dr. Gredig)
- discuss mentor-mentee compact and setup regular meetings
- agree on the research questions / proposal / tasks
- get a bound notebook and record observations
- create a comprehensive PPTx file (see Section 6)
- request and pick up lab keys through the Department Office
- enroll in one of the courses to get university, such as PHYS 496 - Special Problems in Physics, PHYS 498, PHYS 697 - Directed Research or PHYS 698 - Thesis
- consider the Phyiscs, B.S. with Materials Science Option
- consider the Physics, M.S. Applied Physics Option
- consider enrolling in PHYS 445 / 545 - Advanced Experimental Methods in Materials Science
- conduct research and present your research at the CNSM, co-publish your research with Dr. Gredig
- apply for scholarships, REUs, and graduate programs.
For M.S. projects, you should also read the Master’s Thesis Guidelines.
Literature
Research happens at the cutting-edge of knowledge. Knowing the current research questions is an on-going tasks. Use one of the literature search engines to explore your topics:
Read specific articles to expand your vocabulary and learn about specific examples, including:
- Gredig: Asymmetric grain distribution in phthalocyanine thin films
- Gredig: Height-Height Correlation Function to Determine Grain Size in Iron Phthalocyanine Thin Films
- Gredig: Tunable Finite-Sized Chains to Control Magnetic Relaxation
- Giessibl: Advances in atomic force microscopy
- Evangelisti: Magnetic properties of α-iron(II) phthalocyanine
- Bartolome: Magnetism of Metal Phthalocyanines
- Vargas: Helical spin structure in iron chains with hybridized boundaries
- Colesniuc: Exponential behavior of the Ohmic transport in organic films
Take notes when reading the article; look at the motivation (first paragraph), and the message that the article carries; so that you can refer to previous data on which you build forward.
Posters
Use the PosterDown Rmd package to create posters using R language; it will generate HTML posters, that you can print to PDF, although some colors may not reproduce well. Alternatively the Postr package allows direct export to PDF.
Analysis Software
All data must be analyzed reproducibly; anyone, at any later time, must be able to reproduce the analysis. Therefore, it is important to label, and name files systematically.
Important: read Data File Conventions, see ?@sec-sample-and-data-file-conventions
Briefly, the format is as follows (Example: 20170501_BiThermal_SF_VSM_SF20170426_MvsH-5K.DAT
):
- Date_Project_Initials_Tool_Sample_RunInfo.csv
Therefore, each sample has exactly 5 underscores. The tools to analyze the data (reproducibly) should be open-source, so that they can be used by anyone. We recommend learning the following tools:
- Zotero for references, see Zotero Documentation
- R for graphs and tables, see R scientific reproducibility
- Quarto foropen-source scientific and technical publishing
Several R libraries specific to our data analysis are publicly available via Github, including:
- nanoAFMr for AFM data analysis
- quantumPPMS for Quantum Design PPMS data analysis
- rigakuXRD for XRD data analysis
- nanomasterNTE for graphing sample fabrication parameters
- rawData for data validation and analysis
Ethics and Conduct
Ethical behavior has a long tradition in science and is necessary for its continuation. The University has an office of student conduct and ethical development, which outlines policies. Misconduct in science centers around reporting research results that are fabricated, plagiarized, and or falsified, see APS Ethics. Appropriate conduct includes
- proper record-keeping;
- truthful, careful handling and reporting of data;
- responsible, respectful interactions with peers and subordinates;
- adherence to journal publication guidelines, including proper recognition of research contributions.
We can use some basic rules from sociologist Robert Merton (1910 - 2003) who is known for his work on “unintended consequences”. The Mertonian norms provide a guide for doing scientific research. Using the mnemonic CUDOS, the scientific principles should follow Communalism, Universalism, Disinterestedness, Originality, and Skepticism.
Comprehensive Powerpoint File
Keep a lengthy comprehensive powerpoint file. It should include data more or less in chronological order at this point. It includes photos with details. It is not important to keep it organized, but rather it is important to keep it clean and updated. Regularly, add details, data, information, and observations. It should contain 100 - 300 slides. The slides can include photos of samples, personal reviews and snippets of literature, graphs from results, calculations from the analysis, schematics and plans. Use the notes section to add folder, filenames, and other information pertinent to the graphs. Photos and data files may additionally need to be stored in the RAW folder.
Goals
Joining an experimental condensed matter research group means that you can learn a variety of skills. Depending on your interest, you may want to focus on some of those skills:
- practical skills to run new scientific instrumentation and learn about standard operating procedures
- learn computational skills, modeling, graphing using software, such as R, ggplot2, Quarto, etc.
- design components, construct apparati, 3D print, fix instruments, calibrate and maintain equipment
Citation
@misc{gredig2022,
author = {Gredig, Thomas and Gredig, Thomas},
title = {Joining {Gredig} {Research} {Lab}},
date = {2022-03-04},
url = {https://www.csulb.edu/~tgredig/posts/JoinResearchGroup/},
langid = {en}
}