CORDIS Project
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The project aims to improve our understanding of thermal conductivity in materials, particularly in the energy sector. By utilizing advanced computational methods and big data analytics, it seeks to generate data on thermal and electrical conductivity for a vast array of materials, enhancing material science knowledge.
Thermal conductivity (TC) is a key characteristic of many materials, particularly those used in the energy and environment sectors (thermoelectrics, thermal-barrier coatings, catalysis, etc.).
However, TC is largely unknown − of the 225,000 identified inorganic semiconductor and insulator crystals, only 100 have any TC data available.By combining a novel ab initio molecular dynamics TC theory and big-data analytics (machine learning, compressed sensing, subgroup discovery), we will generate qua…
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
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