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Concept

Open research

Related publications (14)

Harnessing Porous Materials for Efficient Gas Capture: A Computational Exploration of Structure, Function, and Workflow Automation

Miriam Jasmin Pougin

Industrial chemistry heavily relies on traditional separation methods which are both energy-demanding and environmentally detrimental. This thesis addresses critical separation challenges, specifically carbon capture applications and the separation of ethy ...

EPFL2024

The Societal and Scientific Importance of Inclusivity, Diversity, and Equity in Machine Learning for Chemistry

Daniel Probst

While the introduction of practical deep learning has driven progress across scientific fields, recent research highlighted that the requirement of deep learning for ever-increasing computational resources and data has potential negative impacts on the sci ...

2023

SKA Science Data Challenge 2: analysis and results

Yi Zhang, Lei Zhang, Hua Zhang, Xin Chen, Jean-Paul Richard Kneib, Frédéric Courbin, Xiuwei Zhang, Libo Yu, Claudio Gheller, Aymeric Alexandre Galan, Austin Chandler Peel, Emma Elizabeth Tolley, Mark Thomas Sargent

The Square Kilometre Array Observatory (SKAO) will explore the radio sky to new depths in order to conduct transformational science. SKAO data products made available to astronomers will be correspondingly large and complex, requiring the application of ad ...

OXFORD UNIV PRESS2023

Equilibrium β-limits dependence on bootstrap current in classical stellarators

Jonathan Graves, Joaquim Loizu Cisquella, Antoine Baillod, Hugo Paul Arbez

While it is important to design stellarators with high magnetohydrodynamic stability β-limit, it is also crucial to ensure that good magnetic surfaces exist in a large range of β values. As β increases, pressure-driven currents perturb the vacuum magnetic ...

Cambridge University Press2023

Supplementary datasets for "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds"

Vassily Hatzimanikatis, Anastasia Sveshnikova, Homa Mohammadi Peyhani

Supplementary datasets accompanying the manuscript "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds" published in the Metabolic Engineering Journal (https://doi.org/10.1016/j.ymben.2022.03.013). In line w ...

Zenodo2022

Contact.engineering-Create, analyze and publish digital surface twins from topography measurements across many scales

Till Junge

The optimization of surface finish to improve performance, such as adhesion, friction, wear, fatigue life, or interfacial transport, occurs largely through trial and error, despite significant advancements in the relevant science. There are three central c ...

IOP Publishing Ltd2022

The Annotated Mozart Sonatas: Score, Harmony, and Cadence

Martin Alois Rohrmeier, Johannes Hentschel, Markus Franz Josef Neuwirth

This article describes a new expert-labelled dataset featuring harmonic, phrase, and cadence analyses of all piano sonatas by W.A. Mozart. The dataset draws on the DCML standard for harmonic annotation and is being published adopting the FAIR principles of ...

2021

The Open Innovation in Science research field: a collaborative conceptualisation approach

Christopher Tucci, Marc Gruber

Openness and collaboration in scientific research are attracting increasing attention from scholars and practitioners alike. However, a common understanding of these phenomena is hindered by disciplinary boundaries and disconnected research streams. We lin ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2022

Towards Open Data in Digital Education Platforms

Denis Gillet, Maria Jesus Rodriguez Triana, Juan Carlos Farah, Joana Catarina Soares Machado

Despite the traction gained by the open data movement and the rise of big data and learning analytics in education, there is limited support for researchers in education to generate, access, and share experimental data using openly-available digital educat ...

IEEE2019

Data Science in Environmental Health Research

Christine Choirat

Purpose of ReviewData science is an exploding trans-disciplinary field that aims to harness the power of data to gain information or insights on researcher-defined topics of interest. In this paper, we review how data science can help advance environmental ...

2019

Precision global health in the digital age

Marcel Salathé, Idris Guessous, Gérard Escher

Precision global health is an approach similar to precision medicine, which facilitates, through innovation and technology, better targeting of public health interventions on a global scale, for the purpose of maximising their effectiveness and relevance. ...

EMH Swiss Medical Publishers, Ltd.2017

Open Robotics Research Using Web-based Knowledge Services

Aude Billard, Nadia Barbara Figueroa Fernandez, Ana-Lucia Ureche, Zhou Fang

In this paper we discuss how the combination of modern technologies in "big data" storage and management, knowledge representation and processing, cloud-based computation, and web technology can help the robotics community to establish and strengthen an op ...

Ieee2016

Open innovation research and e-government: clarifying the connections between two fields

Christopher Tucci, Gianluigi Viscusi

This paper investigates the linkages and influences between the open innovation paradigm and e-government research. To this end, an analysis of the e-government literature is carried out to understand how open innovation has been interpreted by e-governmen ...

Luiss University Press2015

Perceptual Video Compression: A Survey

Touradj Ebrahimi, Jong Seok Lee

With the advances in understanding perceptual properties of the human visual system and constructing their computational models, efforts toward incorporating human perceptual mechanisms in video compression to achieve maximal perceptual quality have receiv ...

Ieee-Inst Electrical Electronics Engineers Inc2012