Neural network accelerators have been widely applied to edge devices for complex tasks like object tracking, image recognition, etc. Previous works have explored the quantization technologies in ...

Systolic arrays (SAs) are re-gaining the attention as the heart to accelerate machine learning workloads. This article shows that a large design space exists at the logic level despite the simple ...

Metal-porphyrins are well-known and highly active catalysts for electrochemical reactions such as the oxygen reduction and evolution reactions. Herein, we investigate and quantify the catalytic ...

Long-term stability of the MoS2 film grown via atmospheric pressure chemical vapor deposition (APCVD) on Si/SiO2 substrates is important for its practical applications in electronics and ...