The increasing demand for renewable energy has stimulated significant advancements in
the photovoltaic technology (PV), with perovskite solar cells (PSCs) emerging as leading …

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 …

In this study, we employ graph neural networks (GNNs) to accelerate the discovery of novel
2D magnetic materials which have transformative potential in spintronic applications. Using …

Abstract 2D intrinsic magnetic materials possess unique physical properties distinct from
bulk materials, providing an ideal research platform for the development of low‐dimensional …

Nonlinear optical crystals (NLO) are a key class of functional materials in the field of laser
technology due to their excellent frequency conversion effects and physical–chemical …

The advancement of machine learning technologies has revolutionized the search and
optimization of material properties. These algorithms often rely on theoretical calculations …

The increasing demand for renewable energy has stimulated significant advancements in
the photovoltaic technology (PV), with perovskite solar cells (PSCs) emerging as leading …