During the last decades, X-ray absorption spectroscopy (XAS) has become an
indispensable method for probing the structure and composition of heterogeneous catalysts …

In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …

The rapid growth of methods emerging in the past decade for synthesis of “designer”
catalysts—ranging from the size and shape-selected nanoparticles to mass-selected …

Ceramic materials are polycrystalline solids that are made up of metal and non-metal
elements, and inorganic crystal grains with specific crystal structures are fundamental …

The combination of computational chemistry and computational materials science with
machine learning and artificial intelligence provides a powerful way of relating structural …

Applications of neural networks to condensed matter physics are becoming popular and
beginning to be well accepted. Obtaining and representing the ground and excited state …

Materials characterization is indispensable for materials development. In particular,
spectroscopy provides atomic configuration, chemical bonding and vibrational information …

Autonomous chemical process development and optimization methods use algorithms to
explore the operating parameter space based on feedback from experimentally determined …

The core-loss spectrum reflects the partial density of states (PDOS) of the unoccupied states
at the excited state and is a powerful analytical technique to investigate local atomic and …

Excited states are different quantum states from their ground states, and spectroscopy
methods that can assess excited states are widely used in materials characterization …