Exploring how machine learning is transforming computational surface science and enabling breakthroughs in materials design
Explore the fascinating world of zinc oxide surfaces through theoretical science, computational experiments, and quantum mechanics.
Explore how machine learning is revolutionizing catalyst design by bridging the gap between computational accuracy and efficiency in heterogeneous catalysis.
Explore how first-principles based multiscale, multiparadigm methods are revolutionizing material science and chemical engineering through computational simulation.
Explore how Density Functional Theory (DFT) revolutionizes catalyst design and drives innovation in chemical processes through computational simulations.
Explore how deMon2k computational chemistry software revolutionizes molecular simulations using DFT, ADFT and QM/MM methodologies