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Program with important information for participants.
All times are EDT (Eastern Daylight Time Offset UTC -4:00 hours).

Course: Machine Learning for Mechanics and Materials

Instructors: Carianne Martinez, Drew Levin, Sandia National Laboratories New Mexico
Date/Time: Saturday, June 12, 2021, 1:00-5:00 p.m. EDT
This will be a live virtual course.

Course registration fee will be $350 for individual attendees and $175 for student attendees. All course registrants must pay the applicable course fee. This course is offered only as an add-on option to conference attendees in addition to the conference registration fee. To sign up, select the course option in the Tracks/Session section during conference registration.

Research Committee is working with Sandia researchers to offer a short course on machine learning with application towards mechanics of materials.

The course will first give a general introduction to basic machine learning concepts, focusing on how we define our problems, what approaches are appropriate to address these challenges, and how we measure the success and/or failure of our efforts. Second, the course will discuss the different types of ML models available to researchers, and the types of problems they are best applied to, with some hands-on practices with selected ML models. Last, the course will cover some machine learning applications in the field of mechanics and materials at Sandia.

Springer/Nature Publishing Young Investigator Lecture: From Dynamic Fracture to Energy Focusing — Some Shockingly Fun Stuff

Author: Veronica Eliasson

Our research group is interested in a mix of fluid mechanics and gas dynamics theory combined with solid mechanics and fracture dynamics. We strive to develop a deeper understanding of the response for different types of materials and structures as they are subjected to high strain rate impacts or shock wave loading. If we can better understand the failure modes of solids during highly dynamic short duration experiments, we can then improve the dynamic response and performance of a number of applications. Some examples of specific areas of interest to us are underwater explosions near naval structures that include dynamic fracture, shock wave focusing in two and three dimensions, and mild traumatic brain injury due to repeated impact. In this talk, I will begin with a brief overview of some of our research projects after which I will introduce in more detail our shock wave dynamics research. Extreme conditions created at the focal region during a shock focusing event – resulting in very high pressures and temperatures – can be either beneficial as in the case of shock wave lithotripsy or inertial confinement fusion or detrimental as in the case of superbooms (a type of sonic boom). As the shock wave emerges from the focal region, after the shock focusing event, the shape of the shock is often fundamentally altered. Therefore, a deeper understanding of the shock focusing process, and how to control it, is critical to fully understand its consequences and how to best enhance or mitigate it as needed depending on the application at hand. In this talk I will introduce our newest experimental setup that has the capability to produce multiple simultaneous shock waves in two or three dimensions, and ultra high-speed photography coupled with schlieren techniques that have been used to probe the shock dynamic events, and in particular, the transition from regular to irregular reflections.

W. M. Murray Lecture: Probing Reaction-Diffusion Driven Patterns and Property Gradients in Polymers

Author: Nancy R. Sottos

Complex patterns and gradients integral to the structure and function of biological materials arise spontaneously through reaction-diffusion controlled processes during morphogenesis. In contrast, functional patterns in synthetic materials are typically created through multistep manufacturing processes requiring masks, molds, or printers. Inspired by reaction-diffusion systems in nature, this work harnesses rapid reaction-thermal transport during frontal polymerization to drive the emergence of spatially varying patterns and tailor properties during the synthesis of engineering polymers. Tuning of the reaction kinetics and thermal transport enables internal feedback control over thermal gradients to spontaneously pattern morphological, chemical, optical, and mechanical properties of structural materials. A range of experimental tools are exploited to characterize the evolution of the microstructure and properties, including IR imaging of the temperature history and front evolution, confocal Raman microscopy and differential scanning calorimetry to determine degree of cure, fluorescent imaging, wide angle x-ray scattering, nanoindentation and mechanical testing to assess changes in thermomechanical properties. Functionally graded and patterned regions with two orders of magnitude change in modulus and over 200°C change in glass transition temperature are achieved in thermoset polymers. The results suggest a facile route to patterned structural materials with complex microstructures. Moreover, we envision that more sophisticated control of reaction-transport driven fronts may enable spontaneous growth of structures and patterns in synthetic materials, inaccessible by traditional manufacturing approaches.