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Bjoern Rosner

Researcher at University of Wisconsin-Madison

Publications -  15
Citations -  299

Bjoern Rosner is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Dip-pen nanolithography & Nanolithography. The author has an hindex of 8, co-authored 15 publications receiving 295 citations.

Papers
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Journal ArticleDOI

Dip Pen Nanolithography (DPN): process and instrument performance with NanoInk's Nscriptor system

TL;DR: The effects of changing tip radius and surface roughness are explored and it is found that blunter tips lead to higher minimum line widths and that higher rms surfaceroughness leads to higher Minimum Line widths; line edge roughness also increases with substrate roughness and surface feature size.
Patent

High throughput inspecting

TL;DR: In this paper, the authors provide methods and apparatus high-throughput reading and decoding of information-encoding features (especially identification features) on pharmaceutical compositions for the purpose of e.g. counterfeiting detection and inventory tracking/tracing.
Patent

Stamps with micrometer-and nanometer-scale features and methods of fabrication thereof

TL;DR: Stamps and methods of making stamps for applications in anti-counterfeiting and authentication are discussed in this paper, where the stamps are relatively small in size and feature nanoscale and microscale identification regions and features.
Journal ArticleDOI

Functional extensions of Dip Pen NanolithographyTM: active probes and microfluidic ink delivery

TL;DR: The capability to write with different inks on the probe array, permitting the fabrication of multicomponent nanodevices in one writing session is developed, and the fabrication and characterization of thermomechanically actuated probes that use the bimorph effect to induce deflection of individual cantilevers are presented.
Patent

Apparatus and methods for preparing identification features including pharmaceutical applications

TL;DR: In this paper, the authors proposed a semi-automated or automated manufacturing of micro- or nanostructured identification features on objects and compositions, and especially pharmaceutical compositions.