The integration of artificial intelligence (AI) algorithms in materials design is revolutionizing
the field of materials engineering thanks to their power to predict material properties, design …

Spider silks are remarkable materials characterized by superb mechanical properties such
as strength, extensibility, and lightweightedness. Yet, to date, limited models are available to …

Transformer neural networks show promising capabilities, in particular for uses in materials
analysis, design, and manufacturing, including their capacity to work effectively with human …

Biological systems generate a wealth of materials, and their design principles inspire and
inform scientists from a broad range of fields. Nature often adapts hierarchical multilevel …

Spider silk fibers are protein materials that exhibit high strength and toughness thanks to a
unique microstructure. In this work, a microscopically motivated model that sheds light on the …

In this work, we designed a multimodal transformer that combines both the Simplified
Molecular Input Line Entry System (SMILES) and molecular graph representations to …

Nature has severely outpaced humans in developing multifunctional, hierarchical materials
that access impressive material properties, all the while being fully degradable and part of …

Superhydrophobic surfaces, characterized by exceptional water repellency and self-
cleaning properties, have gained significant attention for their diverse applications across …

The inference of multicellular self-assembly is the central quest of understanding
morphogenesis, including embryos, organoids, tumors, and many others. However, it has …

The maintenance of web development standards for multiple devices is a highly complicated
task. This is implemented through artificial intelligence evolving hybrid optimization …