@article{1436011,
      recid = {1436011},
      author = {Herwig, Christoph, and Pörtner, Ralf, and Möller,  Johannes,},
      title = {Digital twins : tools and concepts for smart  biomanufacturing /},
      pages = {1 online resource (vii, 262 pages) :},
      abstract = {This is the first of two volumes that together provide an  overview of the latest advances in the generation and  application of digital twins in bioprocess design and  optimization. Both processes have undergone significant  changes over the past few decades, moving from data-driven  approaches into the 21st-century digitalization of the  bioprocess industry. Moreover, the high demand for  biotechnological products calls for efficient methods  during research and development, as well as during tech  transfer and routine manufacturing. In this regard, one  promising tool is the use of digital twins, which offer a  virtual representation of the bioprocess. They reflect the  mechanistics of the biological system and the interactions  between process parameters, key performance indicators and  product quality attributes in the form of a mathematical  process model. Furthermore, digital twins allow us to use  computer-aided methods to gain an improved process  understanding, to test and plan novel bioprocesses, and to  efficiently monitor them. This book explains the  mathematical structure of digital twins, their development  and the model's respective parts, as well as concepts for  the knowledge-driven generation and structural variability  of digital twins. Covering fundamentals as well as  applications, the two volumes offer the ideal introduction  to the topic for researchers in academy and industry  alike.},
      url = {http://library.usi.edu/record/1436011},
      doi = {https://doi.org/10.1007/978-3-030-71660-8},
}