Discovery LearningCU-Boulder University of Colorado at Boulder
Discovery Learning Program CU College of Engineering

The Computational Laboratory for Nanomaterial and Biomaterial Design integrates research efforts in the area of computational analysis and design of nano and biomaterials, and synchronizes these with the nanoscale experimental research in the new Nanotechnology Characterization Facility in DLC.

Recent research activities include mechanical analysis of surface properties of thermoplastic polyurethane elastomers, analysis of novel phononic nanostructures and materials design, molecular dynamic simulations of mechanical behavior of amorphous polymers, microstructure modeling of the human pulmonary artery, micromechanical study of human red blood cells, and large deformation stress-strain analysis of bio-macromolecular solids containing folded domains.

current projects

Thermo-Mechanical Modeling of Environmentally Responsive Hydrogels ― Researchers are developing a constitutive model to guide the design and manufacturing of environmentally responsive hydrogels. Because of their unique capability to achieve a large yet reversible volume change in response to an environmental stimulus such as temperature, pH, or electric field, hydrogels have been widely used in microfluidics and biomedical applications such as hydrogel sensors, valves and actuators for microfluidic channels, novel drug delivery systems, and scaffolding materials for tissue engineering. (Kristofer Westbrook, Kevin Fiedler, H. Jerry Qi)

Multiphysical Modeling of Photo-Activated Polymers ― This project focuses on the development of a theoretical and computational modeling framework to predict and simulate the light-induced mechanical behavior of photo-activated polymer systems. These materials promise exciting applications for advanced non-invasive biomedical surgery devices, remotely triggered drug delivery systems, and micro/nano scale actuators. (Kevin Long, H. Jerry Qi, Martin Dunn)

Constitutive Modeling of Artery Tissues ― Using data gathered from mechanical testing and histological images, researchers are developing a material model that characterizes the pseudo-elastic behavior of artery tissues. The model takes into account the different behaviors of the constituent structural proteins and cells, resulting in a material model with high fidelity and physical relevance. (Philip Kao, H. Jerry Qi, Robin Shandas)

grad students work on project

Graduate student Cory Rupp and undergraduate Parker Keegan are working with professors Kurt Maute and Martin Dunn to synthesize phononic waveguides, materials, and devices. Rupp uses topology optimization as a tool to determine the distribution of constituent materials and tailor the manipulation of elastic wave energy, while Keegan conducts a physical experiment to verify the results.

H. Jerry Qi