451 to 460 of 4,807 Results
Nov 6, 2024 -
Data for: Pros and cons of airlift and bubble column bioreactors: How internals improve performance
7Z Archive - 32.1 GB -
MD5: a615d2fab2887719a15f5c40e5bd5d8a
CFD simulation results of the annulus-rising internal-loop airlift reactor with internals with M-Star CFD (spatial resolution LX 100, timestep size 1e-4 s, 30% CO in the gas phase, 0.5 vvm gassing) |
Nov 6, 2024 -
Data for: Pros and cons of airlift and bubble column bioreactors: How internals improve performance
TAR Archive - 52.0 GB -
MD5: 446fd1a6e5710444e8362f04d03c4baf
CFD simulation results of bubble column reactor with M-Star CFD (spatial resolution LX 100, timestep size 1e-4 s, 30% CO in the gas phase, 0.5 vvm gassing) |
Nov 6, 2024 -
Data for: Pros and cons of airlift and bubble column bioreactors: How internals improve performance
7Z Archive - 29.7 GB -
MD5: d5759738920da760ff86298cf8c40275
CFD simulation results of the center-rising internal-loop airlift reactor with internals with M-Star CFD (spatial resolution LX 100, timestep size 1e-4 s, 30% CO in the gas phase, 0.5 vvm gassing) |
Nov 6, 2024 -
Data for: Pros and cons of airlift and bubble column bioreactors: How internals improve performance
7Z Archive - 196.2 GB -
MD5: 2ec8816f047de6dc2c2d4ecd44e6a785
CFD simulation results of the annulus-rising internal-loop airlift reactor with M-Star CFD (spatial resolution LX 100, timestep size 1e-4 s, 30% CO in the gas phase, 0.5 vvm gassing) |
Nov 5, 2024 -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data [NeurIPS, arXiv v2]
ZIP Archive - 1.1 MB -
MD5: e4e6f5dca291e6c59f5135ab1a1d63a8
Code for running the old version of the Grinsztajn. et al (2022) benchmark with our models. |
Nov 5, 2024 -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data [NeurIPS, arXiv v2]
Gzip Archive - 87.2 MB -
MD5: 04efd949409a882d3fb3c18371d451fa
Results on the old version of the Grinsztajn et al. (2022) benchmark. |
Nov 5, 2024 -
Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data [NeurIPS, arXiv v2]
ZIP Archive - 719.6 KB -
MD5: c4803f9ed6ed2be89668af29f9720404
Contains the code for running the benchmarks, as well as an implementation of the models evaluated on these benchmarks. Also contains instructions in README.md as well as the documentation. |
Nov 5, 2024 -
Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions
ZIP Archive - 124.8 MB -
MD5: 255b9ba54686e9227a8461d13eddeeb3
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Nov 5, 2024 -
Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions
ZIP Archive - 177.1 MB -
MD5: 737f6b24523e35fdcdd4cf16c351c9ef
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Nov 5, 2024 -
Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions
ZIP Archive - 19.1 MB -
MD5: 0d737e6d3186b0142b542f289ac08bbb
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