Publications related to History of science

SKA Science Data Challenge 2: analysis and results

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

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

Roadmap on Machine learning in electronic structure

Michele Ceriotti, Jigyasa Nigam, Andrea Grisafi, Max David Veit

In recent years, we have been witnessing a paradigm shift in computational materials science. In fact, traditional methods, mostly developed in the second half of the XXth century, are being complemented, extended, and sometimes even completely replaced by ...

IOP Publishing Ltd2022

Extended Integrated Force Method for the analysis of prestress-stable statically and kinematically indeterminate structures

Gennaro Senatore, Yafeng Wang

This paper presents a new force method to predict the structural response of statically and kinematically indeterminate systems that can be stabilized through prestress, i.e. prestress-stable structures. This new force method, here named Extended Integrate ...

2020

A new method to determine multi-angular reflectance factor from lightweight multispectral cameras with sky sensor in a target-less workflow applicable to UAV

Manuel Simon Paul Cubero-Castan, Christoph Strecha, Dai Shi

A new physically based method to estimate hemispheric-directional reflectance factor (HDRF) from lightweight multispectral cameras that have a downwelling irradiance sensor is presented. It combines radiometry wilh photogrammetric computer vision to derive ...

ELSEVIER SCIENCE INC2019

Incorporating long-range physics in atomic-scale machine learning

Michele Ceriotti, Andrea Grisafi

The most successful and popular machine learning models of atomic-scale properties derive their transferability from a locality ansatz. The properties of a large molecule or a bulk material are written as a sum over contributions that depend on the configu ...

2019

TimeRank: A dynamic approach to rate scholars using citations

Giovanni Colavizza, Massimo Franceschet

Rating has become a common practice of modern science. No rating system can be considered as final, but instead several approaches can be taken, which magnify different aspects of the fabric of science. We introduce an approach for rating scholars which us ...

Elsevier Science Bv2017

Analyse, synthèse et création d'échappements horlogers par la théorie des engrenages

Olivier Laesser

In principle, knowledge of watch and clock escapements is acquired through the study of the geometry and operation of numerous realizations, studied patiently one after the other. Knowing the classics, one can hope to construct a new realizations by borrow ...

EPFL2014

A Programming Workshop using the Robot "Thymio II": The Effect on the Understanding by Children

Francesco Mondada, Michael Bonani, Stéphane Magnenat, Fanny Riedo

Robots are both fascinating objects for the general public and devices whose conception, understanding and pro- gramming involve many fields. This unique combination makes them an ideal tool for introducing science and technology to children. This paper pr ...

IEEE2012