[MUSIC] Hello, welcome to Materials Data Science and Informatics. I'm Dave McDowell, Regents' Professor and Carter N Paden Chair in Metals Processing in the Schools of Materials Science and Engineering and Mechanical Engineering at Georgia Tech. I'm going to be speaking to the issue in this lecture of why do we want to accelerate Materials Discovery and Materials Development. We want to learn how the grand challenges of the next century play a key role in defining the need for new and improved materials. We want to talk about driving forces for discovering new materials and how we want to accelerate the rate of their development in incorporation to products. And how this all hinges on the explosion of data and data sizes that we've seen the past few decades and continues to accelerate. If we looked at the twentieth century, many of the advances that you have witnessed in this past century are materials-enabled. So, just going down this simple list, electrification, air travel, water supply and distribution, computing, Internet, telephones, highways, space travel, nuclear technologies, renewable energy. These are all things we very much take for granted. But just arose in the last century many of which are enabled by the materials developments. So, in red here we show a list of those items. That are chiefly enabled by materials, many of which we again, take for granted. The National Academy of Engineering in 2009 issued a set of grand challenges for the 21st century. These grand challenges range from healthcare, better medicines, to renewable energy, the ability to contain nuclear fusion, which would be a grand challenge breakthrough. Securing our cyberspace, the way we communicate, the way we get information from around the globe on a daily basis. Urban infrastructure, the ability to undertake scientific discovery in a distributive, collaborative environment. These are all elements of the 21st century that we can look forward to. If we think about what the 21st century has in store for us, In everyday life, imagine, an immersive virtual environment where when we collaborate with others at a distance, it's as if we're in the same room. Imagine adaptive environments that are situationally aware. So, when we drive our automobile, it accommodates our needs at the time. Our living quarters, the way we travel, communicate, the way we work, the way we play. The ability to have a studio in a backpack, for example. Home studio in a backpack with curved screens, with the capability to have input and output devices that are transportable, setting up an office anywhere that we want to work. These are all great advances the 21st century, that we can exploit, that we can pursue. Of course you can add your own to this. You have your own vision of what the 21st century holds in store. But think about this, it's likely that these advances will come from us from engineered solutions. In which computing and materials will play key roles enabled by the explosion of data and data sciences. So, looking towards tomorrow the science fiction of yesterday can become the reality of tomorrow so, for example, cyborgs. The integration of cyber physical systems into automation. To be able to leverage technology to improve everyday life. The ability to design new materials that can undergo shape shifting. 3D printed materials and arbitrary shapes that can change shape upon stimuli such as electrical current, or photons, light sources. Imagine that the Internet of things which is ubiquitous distribution of sensors in everyday items such as household appliances, automobiles, our communication devices, the clothing we wear. Sensors, even bio-sensors attached to our bodies to sense our health from moment to moment. These will all be connected in a very large scale overarching computing environment in the future. Containment of nuclear fusion as we've mentioned is a great challenge, a problem that will enable almost endless energy in the future. So, we can ask the question what drives the need for accelerated materials discovery and developement? How does big data and data science impact that the idea of accelerating materials discovery and development? Why do we need it? Well, it turns out that in various areas of consumer products, of national lead, international lead, mobility, security, energy, aging infrastructure, health care, its communications, etc. There's always a demand to push the capabilities of these devices, these products. To be able to improve their performance to make use of latest advances, new advances in materials capabilities to do just that. And it typically takes a lot longer than we'd like. From the time where we discover a material in a laboratory to the time where it's translated into a product, typically 20 to 25 years. We'd like to reduce that down to a five to ten year design cycle time that's typical of new product development. You might ask how can we realize these dreams. Are they dreams? What is there about advances of the past few decades that give us great promise for realizing these dreams? Well, an important one is this, if we go back 50 to 60 years ago quantum mechanics was developed which is essentially, and enabling technology for controlling material at atomic scales. That was accessible mainly to physicist and chemist even 20 years ago. With engineering mainly involve in use of much larger scale types of modeling and stimulation. Capabilities and approaches such as finite element methods. But today there's great overlap. Today, the engineering and engineering design committees also have at their disposal these tools of quantum. In addition to design theories, design methodologies, enhanced by computation and big data. So that brings us to the data explosion aspect of the promise of new and improved materials of the 20th century, the 21st century. The Internet of things that I've mentioned before is implicitly wrapped up with big data. The distributed ubiquitous sensors everywhere in our everyday products and our everyday lifestyle. Connecting individuals, connecting us to information around the world and in our local environment. That's inherently a big data problem. We add to that the fact that materials have atomic level structure all the way up to the application scale, the product scale. That too, those numbers of degrees of freedom associated with capturing the structure of materials and the behaviors of materials that's a big data problem not unlike the distributed sensor problem in rid of things. The intertwining of those two is truly a big data challenge. But we have reason to believe that there are great opportunities based on the way the information revolution has exploded. Witness for example Google searches. At you fingertips, you have accessible information upon inquiry from around the world, historical information, current information, information on science and technology, structure of matter, and so forth. This course will explore how data and materials intersect to deliver our promise in these technologies. So, to summarize what we've learned in this first lecture. First, the 20th century grand challenges and advancement have involve materials in the 21st century grand challenges will involve materials. This is a very safe bet. Modeling and simulation in computations exploded over the last 15 to 20 years, and it leads us to the idea that we can reduce the time from discovery of materials to deployment of products by taking advantage of, exploiting. Data sciences and informatics to couple with modeling and simulation and experiments to be able to accelerate that. In revolutions in modeling and in big data, computational methods, Internet, Internet of things, these usher in this new era of possibility to accelerate materials discovery of development. Thank you. [SOUND]
