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Anisotropic Gold Nanostructures: Optimization via in Silico Modeling for Hyperthermia

MPS-Authors
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Singh,  Ajay Vikram
Dept. Physical Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society;
Department of Chemical and Product Safety, German Federal Institute for Risk Assessment (BfR), Max-Dohrn-Strasse 8-10, 10589 Berlin, Germany;

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Wang,  Shuo
Dept. Physical Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society;
Institute for Materials Science, University of Stuttgart, Heisenbergstr. 3, 70569 Stuttgart, Germany;

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Xiao,  Yang
Dept. Physical Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society;
Institute for Materials Science, University of Stuttgart, Heisenbergstr. 3, 70569 Stuttgart, Germany;

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Alapan,  Yunus
Dept. Physical Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Kozielski,  Kristen
Dept. Physical Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society;

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David,  Hilda
Central Scientific Facility Materials, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Richter,  Gunther
Central Scientific Facility Materials, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Sitti,  Metin
Dept. Physical Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society;
Dept. of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA;

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Citation

Singh, A. V., Jahnke, T., Wang, S., Xiao, Y., Alapan, Y., Kharratian, S., et al. (2018). Anisotropic Gold Nanostructures: Optimization via in Silico Modeling for Hyperthermia. ACS Applied Nano Materials, 1(11), 6205-6216. doi:10.1021/acsanm.8b01406.


Cite as: https://hdl.handle.net/21.11116/0000-0003-8422-1
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