1,725,811 research outputs found
arnor-sigurdsson/EIR: 0.1.33-alpha
No full textA framework for training deep learning models on genotype, tabular, sequence, image, array and binary data
Data for Screening nearest-neighbor interactions in networks of exciton-polariton condensates through spin orbit coupling
No full textData from numerical simulations used to create the figures in the paper Aristov, D., Sigurdsson, H., & Lagoudakis, P.G. (2022) Screening nearest-neighbor interactions in networks of exciton-polariton condensates through spin orbit coupling. Physical Review B.</span
arnor-sigurdsson/EIR: 0.1.43
No full textA toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data
arnor-sigurdsson/EIR: 0.1.42
No full textA toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data
arnor-sigurdsson/EIR: 0.1.40-alpha
No full textA toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data
arnor-sigurdsson/EIR: 0.1.37-alpha
No full textA toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data
arnor-sigurdsson/EIR: 0.1.41-alpha
No full textA toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data
Data for: Polariton spin jets through optical control
No full textExperimental data and simulation results used to create the figures in the paper: Pickup, L., Töpfer, J.D., Sigurdsson, H. & Lagoudakis, P. G. (2021) Polariton spin jets through optical control. Physical Review B.</span
Data for Time-Delay Polaritonics
No full textExperimental data and numerical simulation results used to create the figures in the paper Töpfer, J.D., Sigurdsson, H., Pickup, L. & Lagoudakis, P. (2019). Time-Delay Polaritonics. Communications Physics.</span
arnor-sigurdsson/EIR: 0.1.38-alpha
No full textA toolkit for training deep learning models on genotype, tabular, sequence, image, array and binary data
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