 Felly, y cyfrifol siwrnaf yw'r cyfrifolau i'w grwypariaid. Fy fryd i rywion, dwy、 dyligol ac yn brou. Felly, mae'r lleol eich ddechrau am eich bryd yng ngharraffau i'r gwybrwyr fydd, beth oedd eich bryd i'w rhesilient o'r gwbl ddechrau'r gwybrwyr yn yngei. Mae yna'r gwyl ar y cael y gwybrwyr, mae'r gwybrwyr i'w ddwy. Mae'r lwyddo â'r 150 yma, ond iddo yr ytwbl yn gwneud â'r gweithredu. a cyd-i'r gweithio, i glywodraeth tworio'r llyfe cysylltu groes yma i gyd, a gweithio'r llyfe cyd-i, ac mae cyfynodd gyrsfyrdd agor! Dyma'r gwaith eich bod yn gwneud o fail y fylir. Mae'r cyfynodd gyrsfyrdd yn galon o gyd-i! Felly mae'n gwybod o gair i gyrsfyrdd, mae'n cyd-i. Ond roedd yn cymdeithio dreflai eich 90 ydych chi gael mewn ei ddeithas. Mae bethau sy'n gweithio caelchain o hyn i wyly ni, First, it is a number of existing materials. The periodic table is only a small part of the whole vast material's map that's available to us. There's a lot more. We believe that you can combine these elements together to produce at least 100 times more new materials. New smart materials, new composite materials but also unknown materials, the unknown unknowns, where we don't even know what the properties will be. is a vast materials universe to explore and it will take about a billion lifetimes to really go through it properly. The need to identify new materials has never been a greater resource for the human beings. Sooner rather than later we're going to run out of the sort of elements that we need to make the right tools that we have at the moment and add to resource scarcity also the issues of climate change, population increase and energy problems. So some of the materials that are those right jobs are going to not be available. They're going to be too scarce, too expensive or too resource intensive. We need to need new materials that are going to be made with cheaper energy and also with available resources. But what about those materials that we don't know of, those unknown unknowns? We need a way to find those efficiently without relying just on experiment and that's where computer simulation comes from. You can actually start to predict these new materials, even those ones that we haven't anticipated yet. We're already using computers, high performance computers to do lots of interesting jobs for us. We're losing it to look at climate change. We're looking at the human genome and we're even starting to understand some of the complexities of the brain and yes we're also getting better weather forecasts as well, well at least slowly. However what we really want to do with the computer simulation is not just getting these materials faster but also understanding the interconnectivity of those properties. Computer simulation allows us to understand a set of different properties. Small compositional changes to these materials make very great differences to their properties. And when you add on to that the way that materials behave at the atomic scale well actually that gets really interesting indeed. Understanding the dynamic properties of materials using the power of computer simulation that's the focus of my research group at Imperial College and dynamics really matter. They alter the properties of materials and they alter their performance and you've heard a little bit about that already. One of the areas that I work in here was seeing radiation damage to a specific material. This is a material inside a nuclear reactor whose properties degrade with time due to that radiation damage. We've been able to understand the atomic scale processes that go on in this material and thus design new materials which are better at the atomic scale in terms of things like nuclear waste. But those atomic scale processes are only part of the story. We need to understand what they do to properties and then scale that up to the whole material and in fact actually to the whole product. Usually we've been doing those sorts of predictions separately. What we need is to bring that together. Furthermore, we need to bring that together with experiment. Experiments great at testing the predictions of the model. It's also great at challenging us to have greater more fidelity in our computer simulations and the computer simulations can also help to lead and understand where the experimental data is going. So computer simulation is giving us already benefits but we've got a long way to go. To predict the materials at the atomic scale we also need to understand those macroscopic properties properly. Experimental work tells us if your computer is right but in the end we have to be able to test them. So it's more about resilience. It's about the way we adapt to our changing world. It's about re-engineering industry and addressing resource scarcity. That's what computer simulation in partnership with experiment can do. So my question to you is how should policy makers, material scientists and industry work together to ensure that we have the materials that we need and the materials options for the future we really want. Thank you.