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


Into the summer with knowledge and caffeine – the Coffee Lectures in June

Can’t see your way through the open access jungle? Tangled up in literature management? Lacking inspiration for your holiday reading? Then come to one of our Coffee Lectures. All you need is 15 minutes. Read more

ETH RDM Summer School 2024 for early career scientists

The ETH Research Data Management Summer School 2024 still has some open spots. Take this great opportunity to learn more about the topic between 10-14th June 2024! Registration and more information

Coffee Lectures – check out our new programme

In just 15 minutes: Get useful tools and topics to support you in your daily research work – at the Coffee Lectures by the ETH Library. Read more

Recently Added 

  1. Performance and Robustness of Physiological Controllers with Integrated Pressure Sensors on Inflow Cannula 

    Gwosch, Thomas; Magkoutas, Konstantinos; Schmid Daners, Marianne (2024)
    IEEE Transactions on Biomedical Engineering
    The control of left ventricular assist devices (LVADs) requires sensors and/or estimators to account for the physiological state of the patient and apply advanced controllers. Sensor characteristics are a challenge when using implantable pressure sensors because they influence the quality of physiological control and the robustness of the controlled system. The objective of this work is to investigate the performance and robustness of ...
    Journal Article
  2. Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistry 

    Atz, Kenneth; Nippa, David F.; Müller, Alex T.; et al. (2024)
    RSC Medicinal Chemistry
    Suzuki cross-coupling reactions are considered a valuable tool for constructing carbon–carbon bonds in small molecule drug discovery. However, the synthesis of chemical matter often represents a time-consuming and labour-intensive bottleneck. We demonstrate how machine learning methods trained on high-throughput experimentation (HTE) data can be leveraged to enable fast reaction condition selection for novel coupling partners. We show ...
    Journal Article
  3. Minimal and hybrid hydrogenases are active from archaea 

    Greening, Chris; Cabotaje, Princess R.; Valentin Alvarado, Luis E.; et al. (2024)
    Journal Article
  4. Robust Feature Selection for BP Estimation in Multiple Populations: Towards Cuffless Ambulatory BP Monitoring 

    Cisnal, Ana; Li, Yanke; Fuchs, Bertram; et al. (2024)
    IEEE Journal of Biomedical and Health Informatics
    Current blood pressure (BP) estimation methods have not achieved an accurate and adaptable approach for ambulatory diagnosis and monitoring applications of populations at risk of cardiovascular disease, generally due to a limited sample size. This paper introduces an algorithm for BP estimation solely reliant on photoplethysmography (PPG) signals and demographic features. It automatically obtains signal features and employs the Markov ...
    Journal Article
  5. Datasets Accompanying Paper "Vision-Based Online Key Point Estimation of Deformable Robots" 

    Zheng, Hehui; Katzschmann, Robert K. (2024)
    This is the dataset accompanying the paper "Vision-Based Online Key Point Estimation of Deformable Robots". The datasets contain the raw and preprocessed image data and ground truth key point position for two types of soft robotic arms and a soft robotic fish.

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