About Us
PolymerFEM, LLC was founded in 2020 by spinning off the software business from Veryst Engineering. The founder of PolymerFEM (Dr. Bergstrom) has extensive experience with non-linear finite element modeling and predicting material behaviors. The results from his work have been implemented into world-leading software for material model calibration (MCalibration), and a library of advanced material models (PolyUMod).
Another core mission of PolymerFEM is education. We teach multiple classes per year, and in total we have taught about 100 polymer modeling classes to about 1,000 students. We also provide free support in our forum, which at this point has more than 10,000 posts.
We are very passionate about material modeling and experimental testing techniques. Please do not hesitate sending us a message if there is anything we can do to help!
The PolymerFEM Team.
Dr. Jorgen Bergstrom
The Managing Principal of PolymerFEM LLC is Dr. Jorgen Bergstrom. Dr. Bergstrom grew up in Sweden, got his undergraduate degree in Mechanical engineering from the Royal Institute of Technology in Stockholm, his Masters of Science degree from Dartmouth College, and his Ph.D. in mechanics of materials from M.I.T. His dissertation was about modeling the large strain time-dependent response of elastomers. The model he developed while at M.I.T., called the Bergstrom-Boyce model, has been cited by more than 1,000 articles, and has been implemented in almost all commercial FE codes.
For the last 20 years, Dr. Bergstrom has been working as a technical consultant in the Boston area. The focus on his work has been on developing new and accurate material models for all types of polymers (including rubbers, elastomers, thermoplastic elastomers, thermoplastics, thermosets, and biomaterials), creating numerical methods for efficient implementation of user-material models, developing experimental testing procedures for “smart” characterization of the mechanical response of polymers, and techniques for rapid calibration of material models to experimental data.