TY - JOUR AU - Cretu, Miruna AU - Alberts, Marvin AU - Chakraborty, Anubhab AU - Leonov, Artem AU - Thakkar, Amol AU - Laino, Teodoro PY - 2023/02/22 Y2 - 2024/03/29 TI - Tools for Synthesis Planning, Automation, and Analytical Data Analysis JF - CHIMIA JA - Chimia VL - 77 IS - 1/2 SE - Scientific Articles DO - 10.2533/chimia.2023.17 UR - https://www.chimia.ch/chimia/article/view/2023_17 SP - 17-21 AB - <div><span lang="EN-GB">Computer-aided synthesis design, automation, and analytics assisted by machine learning are promising resources in the researcher’s toolkit. Each component may alleviate the chemist from routine tasks, provide valuable insights from data, and enable more informed experimental design. Herein, we highlight selected works in the field and discuss the different approaches and the problems to which they may apply. We emphasize that there are currently few tools with a low barrier of entry for non-experts, which may limit widespread integration into the researcher’s workflow.</span></div> ER -