Learn about design of experiments, an efficient approach to experimental planning, execution and analysis.
Learn about three simple ways that can help you get the most out of your QCM-D data collection.
A prerequisite for successful data analysis is good input data. Learn about the key characteristics of a quality baseline and how to get there.
Read this interview with a writing coach to get some tips and tricks on how to get published in high-impact scientific journals.
Learn how to structure your work to get in control of ypur calendar
Read the interview with Dr Deborah Rupert to learn about how work-related stress can be reduced and how burnout can be avoided.
Here we will list 9 things that could affect the stability of your QCM-D baseline, and give advice on how to address them if you are experiencing drift.