Transforming matter
Artificial Intelligence (AI) is transforming the field of Materials Science, and predictive AI models are playing a significant role in this transformation. These models can provide valuable insights into the behavior and properties of materials, leading to the discovery and optimization of new and existing materials. In this blog post, we will explore the various […]
Databases play a critical role in today’s materials science and materials engineering. They serve as the backbone of research, enabling scientists and engineers to access, store, and analyze large amounts of data from various sources, including experiments, simulations, and literature. For instance, databases like ICSD or Materials Project provide very diverse information on a vast […]
Material representations play a crucial role in machine learning applications for materials science. The way materials are represented as input data to artificial intelligence (AI) methods has a significant impact on the accuracy and efficiency of the machine learning algorithms. The choice of material representation depends on the type of problem being addressed and the […]
Introduction: The role of computational tools in materials science Materials science is a field that focuses on the study of the nature and properties of materials and how they can be used in various applications. Over the past two decades, the field has undergone tremendous growth, and this is largely due to the advancements made […]
Introduction Artificial Intelligence (AI) is a powerful technology that has the potential to revolutionize the way we live. One of the most exciting areas where AI is making a big impact is in the discovery of novel materials for various applications. In Smart Material we are aiming at bringing to the material science researcher the […]
