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TS-CCEES(Heidelberg University - Institute of Environmental Physics)
Feb 13, 2019
Data publications of the research group "Terrestrial Systems & Chaotic, Complex, and Evolving Environmental Systems (TS-CCEES)" at the Institute of Environmental Physics at Heidelberg University.
Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network [Dataset]
May 21, 2019 - TS-CCEES
Kreyenberg, Philipp J.; Bauser, Hannes H.; Roth, Kurt, 2019, "Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network [Dataset]", https://doi.org/10.11588/data/7NEEKF, heiDATA, V1
This data set accompanies the manuscript ‘Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network’. Concentration fields are stored as portable pixel maps (.ppm) and flow fields are stored in the Middlebury .flo file format (http://vision....
Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]
Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]
Jan 24, 2022 - CryoEM
Köntges, Wolfgang; Perkhun, Pavlo; Kammerer, Jochen; Alkarsifi, Riva; Würfel, Uli; Margeat, Olivier; Videlot-Ackermann, Christine; Simon, Jean-Jacques; Schröder, Rasmus R.; Ackermann, Jörg; Pfannmöller, Martin, 2022, "Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]", https://doi.org/10.11588/data/ZW8JL9, heiDATA, V1
Research Data associated with the related publication.
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