Smart Material is excited to announce its participation in Kimiko, a new R&D project launched in collaboration with Navantia to tackle one of the biggest challenges in the naval industry: marine corrosion. This project aims to model vessel corrosion and develop new, more resistant steel alloys using the latest artificial intelligence (AI) and materials science […]
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NanomatIA Project Kick-Off
Smart Material is thrilled to announce its participation in NanomatIA, a groundbreaking new R&D project focused on accelerating the design and discovery of advanced materials for lithium-ion batteries (LIBs). This initiative, launched in collaboration with leading materials science companies and research centers, combines the power of artificial intelligence (AI), nanotechnology, and biotechnology to create high-performance, […]
AI Explainability: Decoding the Black Box
Introduction to AI Explainability In the realm of modern technology, Artificial Intelligence (AI) stands out as a paradigm-shifting field that affects various industries, from healthcare and finance to transportation and materials science. Nevertheless, as we further entrust AI with more intricate tasks, the pressing question of AI explainability and its importance arises. AI Explainability, sometimes […]
Best practices in building training datasets for AI
Introduction to best practices Machine learning (ML) models are becoming increasingly popular for a wide range of applications in materials science. Within this field, ML models are often classified as predictive and generative. Predictive models can predict certain properties or characteristics of unseen materials from a sufficient amount of material-property training data. Generative models go […]
Main Challenges in Materials Data Infrastructure
Data-driven materials science is an emerging field that has shown significant progress in recent years. As highlighted in a previous post, the recent and impressive advancements in technology and computational capabilities and the increase in demand for new better materials promote that the number of material databases and material data entries grow year by year. […]
The Power of Generative AI in Materials Science
Introduction to generative AI models in Materials Science Generative AI models are shaking up the world of Materials Science. This type of Artificial Intelligence technology is changing the game for researchers and scientists, and it’s important to understand why. First, let’s take a step back and think about what we mean by generative AI models. […]