The intersection of evolutionary algorithms and data-driven optimisation is reshaping materials science by offering novel computational frameworks for designing and refining materials. Drawing ...

A generative model called a diffusion model is used in image generation AI such as Stable Diffusion and DALL-E 3. A research team from Harvard University, Tufts University in the United States, and ...

Evolutionary Algorithms are a family of optimisation algorithms inspired by the process of natural selection. They are used to solve complex optimisation problems in various fields, such as ...

Evolutionary algorithms (EAs) represent a class of heuristic optimisation methods inspired by natural selection and Mendelian genetics. They iteratively evolve a population of candidate solutions ...

Artificial intelligence and machine learning are becoming more and more relevant in everyday life – and the same goes for chemistry. Organic chemists, for example, are interested in how machine ...