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Progress of Artificial Intelligence in Drug Synthesis and Prospect of Its Application in Nitrification of Energetic Materials.

Bo-Jun TanJing ZhangChuan XiaoYingzhe LiuXiong YangWei WangYanan LiNing Liu
Published in: Molecules (Basel, Switzerland) (2023)
Artificial intelligence technology shows the advantages of improving efficiency, reducing costs, shortening time, reducing the number of staff on site and achieving precise operations, making impressive research progress in the fields of drug discovery and development, but there are few reports on application in energetic materials. This paper addresses the high safety risks in the current nitrification process of energetic materials, comprehensively analyses and summarizes the main safety risks and their control elements in the nitrification process, proposes possibilities and suggestions for using artificial intelligence technology to enhance the "essential safety" of the nitrification process in energetic materials, reviews the research progress of artificial intelligence in the field of drug synthesis, looks forward to the application prospects of artificial intelligence technology in the nitrification of energetic materials and provides support and guidance for the safe processing of nitrification in the propellants and explosives industry.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • drug discovery
  • adverse drug
  • current status
  • human health
  • randomized controlled trial
  • emergency department
  • climate change