X-ray diffraction (XRD) is a proven, powerful technique for determining the phase
composition, structure, and microstructural features of crystalline materials. The use of …

Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …

Materials informatics (MI) is aimed to accelerate the materials discovery using computational
intelligence and data science. Progress of MI depends on the strength of database and …

Crystalline phase structure is essential for understanding the performance and properties of
a material. Therefore, this study identified and quantified the crystalline phase structure of a …

To realize online noncontact detection of the degree of chemical corrosion of stone cultural
relics, we developed a reflective fiber-optic sensor, and a theoretical model was established …

To ensure the stable and secure operation of the power system, we propose a method for
short-term load probability prediction based on Conditional Generative Adversarial Network …

Neutron scattering is one of the state-of-the-art techniques for detecting the structural and
dynamic properties of materials. The data analysis of neutron scattering is an inverse …

The X-ray diffraction (XRD) patterns of materials contain important and rich information in
terms of structure, strain state, grain size, etc. The XRD can become a powerful fingerprint for …

To advance the development of materials through data-driven scientific methods,
appropriate methods for building machine learning (ML)-ready feature tables from measured …

In powder diffraction data analysis, phase identification is the process of determining the
crystalline phases in a sample using its characteristic Bragg peaks. For multiphasic spectra …