Uncertainty quantification (UQ) has increasing importance in the building of robust high-
performance and generalizable materials property prediction models. It can also be used in …

With the rapid development of technologies such as computer science, big data, and
artificial intelligence, the emergence of a vast amount of data has brought developmental …

Synchrotron radiation technology provides high-resolution and high-sensitivity information
for many fields such as material science, life science, and energy research. Synchrotron …

Determining the structures of previously unseen compounds from experimental
characterizations is a crucial part of materials science. It requires a step of searching for the …

A deep learning (DL)‐based approach for analysis is proposed. Using synthetic XRD data
for a DL approach is inevitable due to the lack of real‐world XRD data. There are two main …

When a sample's X-ray diffraction pattern (XRD) is measured, the corresponding crystal
structure is usually determined by searching for similar XRD patterns in the database …

Organic–inorganic hybrid metal halides are widely used in X‐ray detection and imaging due
to their high X‐ray absorption efficiency, ease of synthesis, and efficient luminescence …

Na–Fe–Mn–O cathodes hold promise for environmentally benign high‐energy sodium‐ion
batteries, addressing material scarcity concerns in Li‐ion batteries. To date, these materials …

Materials Informatics has emerged from a fusion of the increasing availability of materials
data, high throughput experimental and computational methods, first principles and other …

With the development of computer science and music technology, algorithms have been
widely studied and applied in the field of computer composition. The “computer generated …