So, Generative Design is the name given to any automated design process where it's driven by simulation and the software tells you what the best shape is for a design. So this would differ from a traditional design process where someone who's experienced and knowledgeable might conceive a design and have it validated to see if it's suitable. It's relevant in quite a number of key industries like automotive and aerospace, where lightweighting is critical. So generative design is really the most effective way to do this. So another benefit of generative designing in Catia specifically is the automatic reconstruction process when creating your concept shapes. So traditionally that reconstruction process is quite slow for many topology solutions out there on the market. But within Catia, we've got some automatic reconstruction tools which use subdivision surfacing, and it just allows you to create a shape almost instantly, which you can then work from either directly or manually edit if you want to. So generative design essentially automates what is an iterative design process, and it can do so a lot quicker and more successfully than would otherwise be possible using manual techniques. So the main benefit of generative design is that you can be more confident that you're not going to leave any performance on the table. It doesn't really matter how experienced or knowledgeable you are. The software is always going to have a better understanding of load paths, stiffness, mass distribution than you would do as an experienced engineer so it can make better decisions and ultimately design better shapes. So we also have the ability to use generative design to create a large number of high quality designs using different materials or manufacturing processes, which can be quite useful. An earlier conceptual stage in the design process to help determine, you know, which direction to take your design in. So the generative design capability of Catia actually uses the modelling and reconstruction capabilities of Catia and the simulation capabilities of Simulia. And it has a number of different techniques that are available. So there's topology optimisation, parametric optimisation, shape optimisation, sizing optimisation and bead optimisation. And many of those are possible for both solid geometry and sort of sheet metal or shell surface geometry. There's a number of different Catia generative design techniques, but each technique will follow a similar process. So you'll start by preparing the geometry, you know, choosing which components are involved in the simulation, which parts of the geometry you want to optimise, whether there's multiple parts that need to be optimised. And if there's any sort of connections like bolt, springs, pins, couplings that you want to include, you’ll then move on to the physics. So you will specify whether there's certain restraints or loads and then specify a number of load cases that you want to optimise towards. Once you've got that, you can test your set up and just make sure it runs and works okay. And then you can move on to the optimisation phase itself. So that's where you would define a number of optimisation constraints or controls. So you could say, I want it to have a symmetrical output. I want the thickness to be no bigger or no smaller than a certain value. You could say you want it to optimise towards a certain manufacturing process, such as additive manufacturing, milling, casting, Or maybe you wanted to generate certain ribs within the structure. But there's also constraints for things like stress, frequency and displacement or even center of mass. And once you’ve done that you just need to pick your optimisation strategy so that might be minimising mass while respecting the constraints you've specified. It might be maximising stiffness for a given mass. There's a number of them to choose from, And then you just hit solve. And during the solution process, you can watch those constraints converge. You can watch material being removed and redistributed. And once it's finished, you can then use the automatic reconstruction tools that I've mentioned before. And once you've got that reconstructed shape, you will then want to validate it and make sure that it does, in fact, meet the requirements of the design that you specified. And you could finish there but quite a lot of times you might want to then do further optimisation. You might use different techniques. So for example, you might do a topology optimisation followed by a shape optimisation or followed by a parametric optimisation just to really fine tune and hone in your design and make sure that it's, you know, it really is as optimised as it can be.