The transportation sector is the largest contributor to greenhouse gas emissions in the United States. Because it takes less energy to move a lighter object, even small reductions in weight can have a significant effect on the fuel consumption and emissions of the transportation sector. Lightweight materials of interest include advanced high-strength steel, aluminum, magnesium, polymer composites, and multi-material structures. Assembling multi-material structures is challenging due to differences in melting temperature, formation of intermetallic compounds, differences in coefficient of thermal expansion, and galvanic corrosion potential.
While the number of joining techniques available to the transportation industry grows, for high-volume production, there is a continued desire for a single joining method that can assemble advanced high-strength steel, aluminum, magnesium, and composite materials consistently and robustly.
The theme of the August, 2019 issue of MRS Bulletin is "Joining of Dissimilar Lightweight Materials." This webinar will expand upon the Bulletin issue, and an interactive Q&A session with the speaker will be held at the conclusion of the presentation.
Sponsored by American Elements
The June, 2019 issue of MRS Bulletin focuses on Advances in In-situ Nanomechanical Testing. In situ nanomechanical testing can provide critical insights into the fundamental processes that lead to deformation phenomena in materials. Simultaneous observations of deformation phenomena and measurements of mechanical response in situ allow for nanomechanical testing information to be connected to models to elucidate the subtlety and complexity of how materials respond to stress and strain. Discussion on the current state of the art for in situ nanomechanical testing and future opportunities in imaging, strain sensing, and testing environments are also addressed in this issue of MRS Bulletin.
Machine learning (ML) and artificial intelligence (AI) are quickly becoming common-place in materials research. In addition to the standard workflow of fitting a model to a large set of data in order to make predictions, the materials community is finding novel and meaningful ways to integrate AI within their work. In the July, 2019 issue of the MRS Bulletin, we highlight a few of these applications and argue that AI/ML is delivering real-world, practical solutions to materials problems, and we need AI/ML methods and models that are more fluent in materials science.
The talks in this webinar will expand on the material presented in the MRS Bulletin issue, and an interactive Q&A session will be held with the speakers following each talk.
Sponsored by American Elements
The rapidly growing demand for data storage and processing, driven by artificial intelligence and other data-intensive applications, is posing a serious challenge for current computing devices based on the von Neumann architecture. For every calculation, data sets need to be shuffled sequentially between the processor, and multiple memory and storage units through bandwidth-limited and energy-inefficient interconnects, typically causing 40% power wastage. Phase-change materials (PCMs) show great promise to break this bottleneck by enabling nonvolatile memory devices that can optimize the complex memory hierarchy, and neuro-inspired computing devices that can unify computing with storage in memory cells.
The articles in the September, 2019 issue of MRS Bulletin will highlight recent breakthroughs in the fundamental materials science, as well as electronic and photonic implementations of these novel devices based on PCMs.
This webinar will expand upon the Bulletin issue, and an interactive Q&A session with the speaker will be held at the conclusion of the presentation.