Using Atomistic Simulations and Machine Learning to Unlock the Secrets of Grain Boundaries
In the exciting new world of materials science, researchers have made a breakthrough that could revolutionize the way we create and manipulate materials. By combining atomistic simulations with machine learning, scientists have developed a new technique that could dramatically speed up the grain engineering process. This process involves manipulating the properties of grains of materials, such as metals, alloys, and ceramics, to achieve specific properties. This technique could pave the way for new materials with specific properties tailored to meet the needs of various industries, such as aerospace, automotive, medical, and energy. With this new technology, scientists will be able to quickly identify the most promising materials for a given application, enabling them to create materials with improved performance and durability.
source: Phys.org