At TNO, our ambition is to enable safe, sustainable and reliable ship structures ... the composition and resulting material properties of re-used and recycled steel is uncertain and optimisation and ...
Students are then guided to think of ways to improve the boat by covering it with water proof material. Students make the same paper boat and cover it with plastic and aluminum foil. Students test the ...
We demonstrate a new machine learning-based design approach for hierarchical materials. The new designs created by our machine learning model, which is trained with a database of hundreds of thousands ...
The journal operates a single-anonymised peer review model, and a minimum of two reviewer reports are required. Chemical industry and materials science is entering a new green, high-value and ...
The universal materials model of DeepH accepts an arbitrary material structure as input and generates the corresponding DFT Hamiltonian, enabling straightforward derivation of various material ...
developing a universal materials model of DeepH capable of handling diverse material structures across most elements of the periodic table remains elusive. DeepH leverages prior knowledge of ...
Articles published in Nature Reviews can only be published using the subscription publication route; we do not offer an immediate gold open access (OA) publication option. In addition, six months ...
The prediction model could help researchers characterize materials for use in batteries, magnets, and many other applications. "Structure is the first thing that you need to know for any material.