Organic semiconductors have received broad attention and research interest due to their
unique integration of semiconducting properties with structural tunability, intrinsic flexibiltiy …

Machine learning (ML) is a field of computer science that uses algorithms and techniques for
automating solutions to complex problems that are hard to program using conventional …

Theoretical simulations of electronic excitations and associated processes in molecules are
indispensable for fundamental research and technological innovations. However, such …

Organic photodetectors (OPDs) are promising for applications in flexible electronics due to
their advantages of excellent photodetection performance, cost‐effective solution‐fabrication …

The open-circuit voltage (Voc) of the non-fullerene acceptors-based organic solar cells
(NFAs-OSCs) under device operation conditions, as an essential photovoltaic parameter, is …

In recent years, encouraging progress in non-fullerene acceptors-based organic solar cells
(NFAs-OSCs) has been made in the field of clean-energy technologies. Nevertheless …

Non-fullerene materials have attracted attention as high-performance molecular acceptors in
organic solar cells (OSCs). A proper understanding of the energy level alignment between …

Transistor-based biochemical sensors feature easy integration with electronic circuits and
non-invasive real-time detection. They have been widely used in intelligent wearable …

The development of highly efficient dye‐sensitized solar cells (DSSCs) is greatly hindered
by the lack of a reliable and understandable quantitative structure–property relationship …

Efficient intersystem crossing (ISC) and reverse ISC (RISC) processes are of vital
significance for thermally activated delayed fluorescence (TADF) materials to achieve 100 …