Journal Article FZJ-2021-00528

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Computer-aided molecular and processes design based on quantum chemistry: current status and future prospects

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2020
Elsevier Amsterdam [u.a.]

Current opinion in chemical engineering 27, 89 - 97 () [10.1016/j.coche.2019.11.007]

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Abstract: Computer-Aided Molecular Design (CAMD) enables the automated exploration of chemical space and thus offers great possibilities for efficient design of chemical products. The key to reliable CAMD is a sound prediction of the properties of desired products, where quantum chemistry-based (quantum chemical, QC) prediction methods offer unique opportunities. In this article, we discuss CAMD methods based on QC and highlight two important fields of application: the design of solvents and of molecular catalysts. Screening of separation solvents based on physical property targets can be regarded as established by now. However, the integration of molecular design and process design remains an important challenge. For the design of reactive systems, transition state theory provides a sound basis. However, efficient CAMD methods and tools based on quantum chemistry are still in their infancy. Recent results and the unexplored opportunities of quantum chemistry make the development of QC-based CAMD methods a promising field of research.

Classification:

Contributing Institute(s):
  1. Modellierung von Energiesystemen (IEK-10)
Research Program(s):
  1. 899 - ohne Topic (POF3-899) (POF3-899)

Appears in the scientific report 2020
Database coverage:
Medline ; Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2021-01-20, last modified 2024-07-12


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