With the growth of computational resources, the scope of electronic structure simulations has
increased greatly. Artificial intelligence and robust data analysis hold the promise to …

Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

Summary Mg 3 (Sb, Bi) 2-based compounds have recently attracted much attention
regarding possible technological implementation due to their high thermoelectric (TE) …

A digital twin can be defined as an adaptive model of a complex physical system. Recent
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …

Doping and alloying are fundamental strategies to improve the thermoelectric performance
of bare materials. However, identifying outstanding elements and compositions for the …

This review is about applications of nanofluids technology and different machine learning
algorithms on the potential improvement of system performance and computational …

Thermoelectric materials can be used to construct devices which recycle waste heat into
electricity. However, the best known thermoelectrics are based on rare, expensive or even …

Recent advancements in computing technologies coupled with the need to make sense of
large amounts of raw data have renewed much interest in data-driven materials design and …

The pursuit of novel thermoelectric (TE) materials with exceptional properties stands as a
critical frontier in material science. This transformative endeavor demands a paradigm shift …

Optimized electronic and thermal transport properties are the key requirements for the
discovery of efficient thermoelectric materials. Owing to the complex interdependence …