Repository for Publications and Research Data

Search ETH Zurich’s Research Collection for scientific publications and research data or submit your own research output. Read more


Short service interruption on Thursday, 17 October, 12.00

On Thursday, 17 October, 12.00 – 13.00, there will be a short service interruption in the Research Collection. During this time, you won’t be able to upload new documents or edit existing records. The login will be deactivated during this time. Reason: maintenance work

Research Collection: Statistics September 2019

The highest Altmetric Score in September was achieved by an article dealing with the influence of an astronomical event on the paleoclimate. According to the article, meteorite dust could have triggered an ice age on Earth about 460 million years ago. The full text of this article is available in the Research Collection. Read more

Persistent Identifiers in Research – Highlights

Slides from the event available online. Read more

Recently Added 

  1. Sex is determined by XY chromosomes across the radiation of dioecious Nepenthes pitcher plants 

    Scharmann, Mathias; Grafe, T. Ulmar; Metali, Faizah; et al. (2019)
    Evolution Letters
    Journal Article
  2. A top-down method for the derivation of metrics for the assessment of design automation potential 

    Rigger, Eugen; Vosgien, Thomas; Shea, Kristina; et al. (2019)
    Journal of Engineering Design
    Journal Article
  3. Technological diversity, uncertainty and innovation performance 

    Bolli, Thomas; Seliger, Florian; Wörter, Martin (2019)
    Applied Economics
    Journal Article
  4. Efficient Light-transport Simulation with Machine Learning 

    Müller, Thomas (2019)
    The goal in this dissertation is the efficient synthesis of photorealistic images on a computer. Currently, by far the most popular approach for photorealistic image synthesis is path tracing, a Monte Carlo simulation of the integral equations that describe light transport. We investigate several data-driven approaches for improving the convergence of path tracing, leveraging increasingly sophisticated machine-learning models. Our first ...
    Doctoral Thesis

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