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 …

Organic solar cells (OSCs) have attracted wide research attention in the past decades. Very
recently, oligomerized fused‐ring electron acceptors (OFREAs) have emerged as a …

Manipulating the donor: acceptor (D: A) energetics, eg, the highest occupied molecular
orbital (HOMO) offset, is the key to balancing the charge separation and charge …

The trade‐off between the open‐circuit voltage (Voc) and short‐circuit current density (Jsc)
has become the core of current organic photovoltaic research, and realizing the minimum …

All-polymer solar cells (all-PSCs) usually have a complex blend morphology due to their
higher probability of chain entanglement. Under these conditions, the larger energetic …

Minimizing energy loss is of critical importance in the pursuit of attaining high-performance
organic solar cells. Interestingly, reorganization energy plays a crucial role in photoelectric …

The use of non-fullerene acceptors (NFAs) in organic solar cells has led to power
conversion efficiencies as high as 18%. However, organic solar cells are still less efficient …

There is an urgent demand for all-polymer organic solar cells (AP-OSCs) to gain higher
efficiency. Here, we successfully improve the performance to 16.09% by introducing a small …

The large energy loss (Eloss) is one of the main obstacles to further improve the photovoltaic
performance of organic solar cells (OSCs), which is closely related to the charge transfer …

With the power conversion efficiency of binary polymer solar cells dramatically improved, the
thermal stability of the small-molecule acceptors raised the main concerns on the device …