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Author Neyts, E.C.; Yusupov, M.; Verlackt, C.C.; Bogaerts, A. pdf  doi
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  Title Computer simulations of plasmabiomolecule and plasmatissue interactions for a better insight in plasma medicine Type A1 Journal article
  Year (down) 2014 Publication Journal of physics: D: applied physics Abbreviated Journal J Phys D Appl Phys  
  Volume 47 Issue 29 Pages 293001  
  Keywords A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)  
  Abstract Plasma medicine is a rapidly evolving multidisciplinary field at the intersection of chemistry, biochemistry, physics, biology, medicine and bioengineering. It holds great potential in medical, health care, dentistry, surgical, food treatment and other applications. This multidisciplinary nature and variety of possible applications come along with an inherent and intrinsic complexity. Advancing plasma medicine to the stage that it becomes an everyday tool in its respective fields requires a fundamental understanding of the basic processes, which is lacking so far. However, some major advances have already been made through detailed experiments over the last 15 years. Complementary, computer simulations may provide insight that is difficultif not impossibleto obtain through experiments. In this review, we aim to provide an overview of the various simulations that have been carried out in the context of plasma medicine so far, or that are relevant for plasma medicine. We focus our attention mostly on atomistic simulations dealing with plasmabiomolecule interactions. We also provide a perspective and tentative list of opportunities for future modelling studies that are likely to further advance the field.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication London Editor  
  Language Wos 000338860300001 Publication Date 2014-06-26  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0022-3727;1361-6463; ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 2.588 Times cited 28 Open Access  
  Notes Approved Most recent IF: 2.588; 2014 IF: 2.721  
  Call Number UA @ lucian @ c:irua:117853 Serial 472  
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