Using Raman Spectroscopy to Decode Low-Frequency Molecular Vibrations

Existing vibrational spectroscopy databases do not report ultra-low-frequency Raman signals. This is because, until recently, such measurements were only possible using complex far-infrared or terahertz spectroscopy techniques. However, this spectral region provides unique insights into molecules, polymers, crystal lattices and other solid-state structures by probing intermolecular interactions and phonon vibrations within these systems. Recent innovation in filter optics, lasers, and detectors now enable Raman measurements very close to the excitation laser line (<10 cm-1), meaning we now have the capabilities to expand the study of Raman spectra to cover this low-frequency region and identify hidden spectral features of fundamental significance.  

Students will acquire Raman spectra of multiple analytes and compile them into a reference database that spans a broader spectral range than previously reported.  In parallel with database creation, the student will explore tools to extract information from the database and extend predictions to unknown samples using machine learning or artificial intelligence. 

Name of research group, project, or lab
Camden Research Laboratory
Why join this research group or lab?

Our lab currently hosts five graduate students, two undergraduate students, and two high school students. Our highly collaborative research environment enables students to build diverse networks and gain exposure to a broad scientific community both within and outside Notre Dame. To date, we have mentored >40 undergraduates, many of whom have co-authored peer-reviewed publications and continued into graduate, medical, and professional schools.  In our lab, students get a comprehensive, holistic view of the scientific process, allowing them to not only gain essential research skills, but also the ability to explore potential career paths in science. 

Representative publication
Logistics Information:
Project categories
Applied and Computational Mathematics and Statistics
Chemical and Biomolecular Engineering
Chemistry and Biochemistry
Computer Science & Engineering
Materials Science & Engineering
Physics & Astronomy
Student ranks applicable
First Year
Sophomore
Junior
Student qualifications

This research experience is targeted at students in the College of Science and College of Engineering; however, anyone who has completed general chemistry and taken a laboratory course is eligible.  Preference will be given to students who have an interest in measurement science (physical/analytical chemistry) and or the application of machine learning and AI to chemical problems. 

Hours per week
1 credit / 3-6 hours
2 credits / 6-12 hours
Summer - Full Time
Summer - Part Time
Compensation
Research for Credit
Paid - General
Number of openings
2
Techniques learned

Students will gain hands-on knowledge of measurement techniques in chemistry.  Specifically, they will learn the basics of sample preparation and optical spectroscopy.  The project details and focus will be tailored to student interests.  Examples of skills learned could include: sample preparation, laser alignment, using various optics, operating an inverted microscope, calibrating a spectrometer, data processing using MATLAB, and the exploration of new AI-based methods for spectral analysis. 

Project start
Summer 2025 or Fall 2025
Contact Information:
Mentor
jcamden3@nd.edu
Principal Investigator
Name of project director or principal investigator
Jon P Camden
Email address of project director or principal investigator
jcamden3@nd.edu
2 sp. | 0 appl.
Hours per week
1 credit / 3-6 hours (+3)
1 credit / 3-6 hours2 credits / 6-12 hoursSummer - Full TimeSummer - Part Time
Project categories
Chemistry and Biochemistry (+5)
Applied and Computational Mathematics and StatisticsChemical and Biomolecular EngineeringChemistry and BiochemistryComputer Science & EngineeringMaterials Science & EngineeringPhysics & Astronomy