Ternary blend organic solar cells (TB‐OSCs) incorporating multiple donor and/or acceptor
materials into the active layer have emerged as a promising strategy to simultaneously …

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 …

Abstract Machine learning is a powerful tool that can provide a way to revolutionize the
material science. Its use for the designing and screening of materials for polymer solar cells …

The power conversion efficiency (PCE) of organic solar cells (OSCs) is increasing
continuously, however, commercialization is far from being achieved due to the very high …

Despite the recent breakthroughs of polymer solar cells (PSCs) exhibiting a power
conversion efficiency of over 17%, toxic and hazardous organic solvents such as chloroform …

Over the last 5 years, research on the synthesis, device engineering, and device physics of
solution‐processed small molecule solar cells (SMSCs) has rapidly expanded …

Bulk heterojunction (BHJ) photovoltaics represent one of the most promising technologies in
low-cost, high-throughput, environmentally friendly energy conversion. Morphological …

Organic, planar, and electron deficient small molecules were utilized as acceptors in the first
reported bilayer heterojunction solar cells, however, current state-of-the-art organic …

The photoactive layer of organic solar cells consists of a nanoscale blend of electron-
donating and electron-accepting organic semiconductors. Controlling the degree of phase …

Intrinsically stretchable light-emitting materials are crucial for skin-like wearable displays;
however, their color range has been limited to green-like yellow lights owing to the restricted …