Organic solar cells (OSCs), renowned for their lightweight, cost efficiency, and adaptability
nature, stand out as a promising option for developing renewable energy. Improving the …

Optoelectronic materials are essential for today's scientific and technological development,
and machine learning provides new ideas and tools for their research. In this paper, we first …

The discovery and optimization of electrocatalysts used in the electro-reduction reaction of
CO2 (CO2RR) to achieve high activity and selectivity is a costly and time-consuming …

The mechanical properties of high entropy alloys (HEAs) are enhanced by solid solution
strengthening (SSS) mechanism, which is of great importance for the design of HEAs. The …

The need to solvate and encapsulate hydro-sensitive molecules drives noticeable trends in
the applications of cyclodextrins in the pharmaceutical industry, in foods, polymers …

The rise in demand for lithium-ion batteries has led to a large-scale search for electrode
materials and intercalating ion species to meet the demands of next-generation energy …

The constitutive model refers to the mapping relationship between the stress and
deformation conditions (such as strain, strain rate, and temperature) after being loaded. In …

Abstract Machine learning combined with traditional experimental methods can promote the
efficient research and development of materials. In this work, five kinds of algorithm models …

As brazing devices become more sophisticated and service environments become more
demanding, Cu-Ag-Zn-Mn-Ni-Si-BP brazing material are subjected to higher wettability and …

Metal matrix composites based on Fe–Cr–Mn–Mo–N–C system and obtained by the
aluminobarothermic variant of self-propagating high-temperature synthesis (SHS) are …