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Nikolaus A. Bornhöft
Researcher at Swiss Federal Laboratories for Materials Science and Technology
Publications - 11
Citations - 737
Nikolaus A. Bornhöft is an academic researcher from Swiss Federal Laboratories for Materials Science and Technology. The author has contributed to research in topics: Material flow analysis & Material flow. The author has an hindex of 7, co-authored 11 publications receiving 579 citations. Previous affiliations of Nikolaus A. Bornhöft include University of Zurich.
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Journal ArticleDOI
Dynamic Probabilistic Modeling of Environmental Emissions of Engineered Nanomaterials
Tian Yin Sun,Tian Yin Sun,Nikolaus A. Bornhöft,Nikolaus A. Bornhöft,Konrad Hungerbühler,Bernd Nowack +5 more
TL;DR: The flows to the environment that these ENM provide will constitute the most accurate and reliable input of masses for environmental fate models which are using process-based descriptions of the fate and behavior of ENM in natural systems and rely on accurate mass input parameters.
Journal ArticleDOI
Progress towards the validation of modeled environmental concentrations of engineered nanomaterials by analytical measurements
Bernd Nowack,Mohamed Baalousha,Nikolaus A. Bornhöft,Qasim Chaudhry,Geert Cornelis,Jane Cotterill,Andreas Gondikas,Martin Hassellöv,Jamie R. Lead,Jamie R. Lead,Denise M. Mitrano,Frank von der Kammer,Tim Wontner-Smith +12 more
TL;DR: The issues when aiming to validate modeled environmental concentrations are explored, options for both modelers and analytical chemists on how to proceed in the future are proposed and using the resulting data together in a mutually supportive way will advance the field of ENM risk assessment.
Journal ArticleDOI
Envisioning Nano Release Dynamics in a Changing World: Using Dynamic Probabilistic Modeling to Assess Future Environmental Emissions of Engineered Nanomaterials
Tian Yin Sun,Denise M. Mitrano,Nikolaus A. Bornhöft,Nikolaus A. Bornhöft,Martin Scheringer,Konrad Hungerbühler,Bernd Nowack +6 more
TL;DR: Dynamic probabilistic material flow modeling is used to predict scenarios of the future flows of four ENM to environmental compartments and to quantify their amounts in (temporary) sinks such as the in-use stock and ("final") environmental sinkssuch as soil and sediment.
Journal ArticleDOI
A dynamic probabilistic material flow modeling method
TL;DR: The new "Dynamic Probabilistic Material Flow Analysis (DPMFA)" method, combining dynamic material flow modeling with probabilistic modeling, is presented in this paper and is implemented as a simulation framework in Python to support experts from different domains in the development of their application models.
Journal ArticleDOI
Dynamic probabilistic material flow analysis of engineered nanomaterials in European waste treatment systems.
TL;DR: The goal was to consider the temporal variations of wastewater and solid waste management in the dynamic probabilistic material flow analysis of carbon nanotubes, nano-Ag, -TiO2 and -ZnO in Europe from 2000 to 2020.