Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2020Safe(r) by design implementation in the nanotechnology industry35citations
  • 2017Airborne engineered nanomaterials in the workplace-a review of release and worker exposure during nanomaterial production and handling processes129citations

Places of action

Chart of shared publication
Van Tongeren, Martie
2 / 4 shared
Kaminski, Heinz
1 / 1 shared
Nickel, Carmen
1 / 1 shared
Riediker, Michael
1 / 5 shared
Clavaguera, Simon
1 / 1 shared
Meyer, Jessica
1 / 2 shared
Stahlmecke, Burkhard
1 / 2 shared
Ding, Yaobo
1 / 2 shared
Tuinman, Ilse
1 / 1 shared
Alvarez, Iñigo Larraza
1 / 1 shared
Mikolajczyk, Urszula
1 / 1 shared
Chen, Rui
1 / 3 shared
Kuhlbusch, Thomas A. J.
1 / 1 shared
Wohlleben, Wendel
1 / 25 shared
Chart of publication period
2020
2017

Co-Authors (by relevance)

  • Van Tongeren, Martie
  • Kaminski, Heinz
  • Nickel, Carmen
  • Riediker, Michael
  • Clavaguera, Simon
  • Meyer, Jessica
  • Stahlmecke, Burkhard
  • Ding, Yaobo
  • Tuinman, Ilse
  • Alvarez, Iñigo Larraza
  • Mikolajczyk, Urszula
  • Chen, Rui
  • Kuhlbusch, Thomas A. J.
  • Wohlleben, Wendel
OrganizationsLocationPeople

article

Safe(r) by design implementation in the nanotechnology industry

  • Barrick, Andrew
  • Simar, Sophie
  • Jiménez, Araceli Sánchez
  • Mouneyrac, Catherine
  • Navas, Jose Maria
  • Goede, Henk
  • Nesslany, Fabrice
  • Van Tongeren, Martie
  • Châtel, Amélie
  • Bressot, Christophe
  • Masion, Armand
  • Pérez-Fernández, Marta
  • Rose, Jerome
  • Salieri, Beatrice
  • Galea, Karen S.
  • Barruetabeña, Leire
  • Liguori, Biase
  • Jensen, Keld Alstrup
  • Sabella, Stefania
  • Kalman, Judit
  • Apostolova, Margarita D.
  • Mariussen, Espen
  • Merino, Cesar
  • Suarez-Merino, Blanca
  • Oudart, Yohan
  • Gomez-Cordon, Julio
  • Llopis, Isabel Rodríguez
  • Štěpánková, Sandra
  • Hadrup, Niels
  • Gómez-Fernández, Paloma
  • Trouiller, Bénédicte
  • Bouillard, Jacques
  • Shandilya, Neeraj
  • Kelly, Sean
  • Aguerre-Chariol, Olivier
  • Jacobsen, Nicklas Raun
  • Dusinska, María
  • Manier, Nicolas
  • Handzhiyski, Yordan
  • Hischier, Roland
  • Puelles, Raquel
  • Rundén-Pran, Elise
  • Micheletti, Christian
Abstract

The implementation of Safe(r) by Design (SbD) in industrial innovations requires an integrated approach where the human, environmental and economic impact of the SbD measures is evaluated across and throughout the nanomaterial (NM) life cycle. SbD was implemented in six industrial companies where SbD measures were applied to NMs, nano-enabled products (NEPs) and NM/NEP manufacturing processes. The approach considers human and environmental risks, functionality of the NM/NEP and costs as early as possible in the innovation process, continuing throughout the innovation progresses. Based on the results of the evaluation, a decision has to be made on whether to continue, stop or re-design the NM/NEP/process or to carry out further tests/obtain further data in cases where the uncertainty of the human and environmental risks is too large. However, SbD can also be implemented at later stages when there is already a prototype product or process available, as demonstrated in some of the cases. The SbD measures implemented in some of the case studies did not result in a viable solution. For example the coating of silicon nanoparticles with amorphous carbon increased the conductivity, the stability and reduced the dustiness of the particles and therefore the risk of explosion and the exposure to workers. However the socioeconomic assessment for their use in lithium-ion batteries for cars, when compared to the use of graphite, showed that the increase in performance did not overcome the higher production costs. This work illustrates the complexities of selecting the most appropriate SbD measures and highlights that SbD cannot be solely based on a hazard and exposure assessment but must include other impacts that any SbD measures may have on sustainability including energy consumption and waste generation as well as all associated monetary costs.

Topics
  • nanoparticle
  • impedance spectroscopy
  • amorphous
  • Carbon
  • Silicon
  • Lithium