Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.9b00949
Abstract: Synthesis planning is the process of recursively decomposing target molecules into available precursors. Computer-aided retrosynthesis can potentially assist chemists in designing synthetic routes, but at present it is cumbersome and can't provide results of satisfactory… read more here.
Keywords: self corrected; neural networks; retrosynthesis; retrosynthetic reactions ... See more keywords
Neural Self-Corrected Min-Sum Decoder for NR LDPC Codes
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2024.3404110
Abstract: In this letter, a neural self-corrected min-sum (NSCMS) decoder is proposed for 5G new radio (NR) low-density parity-check (LDPC) codes. Training in real-time on a rapidly changing channel requires low latency and minimal resource utilization.… read more here.
Keywords: corrected min; self corrected; ldpc codes; neural self ... See more keywords