H. J. Yin

Organic solar cells (OSCs) offer significant advantages in terms of flexibility, translucency, and light weight, making them ideal for use in numerous areas of life such as photovoltaic buildings, portable power supplies, and wearable electronics [1], [2]. Currently, the power conversion efficiency (PCE) of OSCs continues to set new records, showing considerable prospects for commercialization [3].

1. Introduction IMU-based motion capture is affordable and untethered, however, it lacks the quality of higher end marker based solutions. In this work, we present a physics-based, AI-enhanced method for improving motion data quality. The last decade has seen a rise in the popularity of IMU-based motion capture systems, making this technology common ground.

Photovoltaic cells are devices that can convert sunlight into electrical power and are commonly employed in roofs, windows, greenhouses, space, and other fields [1], [2], [3], [4], [5], [6], [7], [8], [9]. By mixing polymer donor(s) with polymer acceptor(s) as active layers for power conversion, all-polymer organic photovoltaic cells (OPVs) have been deeply investigated and developed in the last several years [10], [11], [12], [13], [14], [15], [16].