Search
Search Results
-
Survey data
-
Interview data from Sichuan Conservatory of Music
-
Interview data from Huizhou University
-
Interview data from Shaoguan University
-
Interview data from Chengdu University
-
Tunable Feshbach resonances in collisions of ultracold molecules in 2Σ states with alkali-metal atoms [dataset] [Download]
Title: Tunable Feshbach resonances in collisions of ultracold molecules in 2Σ states with alkali-metal atoms [dataset] Contributors: Creator: Bird, Robert C. (Durham University)
Hutson, Jeremy M. (Durham University)
Tarbutt, Michael R. (Imperial College London)
Description: Keywords: Ultracold physics, Atomic physics, Chemical physics Date Uploaded: 17 May 2023 -
Do low-cost thermal vapour experiments (< £100,000) result in published research from more countries in quantum technologies? [dataset] [Download]
Title: Do low-cost thermal vapour experiments (< £100,000) result in published research from more countries in quantum technologies? [dataset] Contributors: Creator: Logue, F. D. (Durham University, U.K.)
Contact person: Logue, F. D. (Durham University, U.K.)
Description: Keywords: Physics in society, Scientometrics Date Uploaded: 2 May 2023 -
CNN framework for wind turbine electromechanical fault detection [software] [Download]
Title: CNN framework for wind turbine electromechanical fault detection [software] Contributors: Creator: Giani, Stefano (Durham University, UK)
Contact person: Giani, Stefano (Durham University, UK)
Data collector: Giani, Stefano (Durham University, UK)
Data curator: Giani, Stefano (Durham University, UK)
Contact person: Stone, Emilie (Durham University, UK)
Contact person: Crabtree, Christopher (Durham University, UK)
Contact person: Zappala, Donatella (Delft University of Technology, The Netherlands)
Description: This deposit contains one of the single-input neural network models from the paper "Convolutional neural network framework for wind turbine electromechanical fault detection". Keywords: Convolutional neural network, Tensorflow Date Uploaded: 2 May 2023 -
Pushing technique boundaries to probe conformational poly-morphism [dataset] [Download]
Title: Pushing technique boundaries to probe conformational poly-morphism [dataset] Contributors: Creator: Steed, Jonathan W. (Durham University, UK)
Contact person: Steed, Jonathan W. (Durham University, UK)
Contact person: Day, Graeme M. (University of Southampton, UK)
Contact person: Oswald, Iain D. H. (University of Strathclyde, UK)
Ward, Martin R. (University of Strathclyde, UK)
Taylor, Christopher R. (University of Southampton, UK)
Mulvee, Matthew T. (Durham University, UK)
Lampronti, Giulio I. (University of Cambridge, UK)
Belenguer, Ana M. (University of Cambridge, UK)
Description: Keywords: Polymorphism, Gels, Milling, Mechanochemistry, Crystal structure calculation, Conformation Date Uploaded: 11 April 2023 -
A conservation law consistent updated Lagrangian material point method for dynamic analysis [dataset] [Download]
Title: A conservation law consistent updated Lagrangian material point method for dynamic analysis [dataset] Contributors: Creator: Pretti, Giuliano (Durham University, UK)
Contact person: Coombs, William M. (Durham University, UK)
Editor: Coombs, William M. (Durham University, UK)
Editor: Augarde, Charles E. (Durham University, UK)
Description: Keywords: Material point method, Large deformation mechanics, Dynamic analysis, Energy consistency, Momenta consistency, Mapping techniques Date Uploaded: 3 April 2023