![Mol-CycleGAN: a generative model for molecular optimization | Journal of Cheminformatics | Full Text Mol-CycleGAN: a generative model for molecular optimization | Journal of Cheminformatics | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13321-019-0404-1/MediaObjects/13321_2019_404_Figa_HTML.png)
Mol-CycleGAN: a generative model for molecular optimization | Journal of Cheminformatics | Full Text
![Machine learning enables design automation of microfluidic flow-focusing droplet generation | Nature Communications Machine learning enables design automation of microfluidic flow-focusing droplet generation | Nature Communications](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41467-020-20284-z/MediaObjects/41467_2020_20284_Fig1_HTML.png)
Machine learning enables design automation of microfluidic flow-focusing droplet generation | Nature Communications
Design and Manufacturing of a System That Generates Renewable Energy from A Permanent Magnet Generator
![Framework of GANs model with denoising penalty and sample augmentation.... | Download Scientific Diagram Framework of GANs model with denoising penalty and sample augmentation.... | Download Scientific Diagram](https://www.researchgate.net/publication/336716728/figure/fig1/AS:941478599725068@1601477398291/Framework-of-GANs-model-with-denoising-penalty-and-sample-augmentation-Specifically-a.png)
Framework of GANs model with denoising penalty and sample augmentation.... | Download Scientific Diagram
![Multi-objective de novo drug design with conditional graph generative model | Journal of Cheminformatics | Full Text Multi-objective de novo drug design with conditional graph generative model | Journal of Cheminformatics | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13321-018-0287-6/MediaObjects/13321_2018_287_Fig6_HTML.png)
Multi-objective de novo drug design with conditional graph generative model | Journal of Cheminformatics | Full Text
![Mitsubishi Electric Develops Unique Technology for Electromagnetic-field and Large-coupled Analysis of Turbine Generators | 2017 | Global News | MITSUBISHI ELECTRIC GERMANY Mitsubishi Electric Develops Unique Technology for Electromagnetic-field and Large-coupled Analysis of Turbine Generators | 2017 | Global News | MITSUBISHI ELECTRIC GERMANY](https://de.mitsubishielectric.com/sites/de_ssl/en/news-events/releases/global/2017/0524-g/img/sp_pic_170524-g_turbinegenerators.jpg)
Mitsubishi Electric Develops Unique Technology for Electromagnetic-field and Large-coupled Analysis of Turbine Generators | 2017 | Global News | MITSUBISHI ELECTRIC GERMANY
![Gmsh: a three-dimensional finite element mesh generator with built-in pre- and post-processing facilities Gmsh: a three-dimensional finite element mesh generator with built-in pre- and post-processing facilities](https://gmsh.info/gallery/screenshot2.png)
Gmsh: a three-dimensional finite element mesh generator with built-in pre- and post-processing facilities
![Multi-objective de novo drug design with conditional graph generative model | Journal of Cheminformatics | Full Text Multi-objective de novo drug design with conditional graph generative model | Journal of Cheminformatics | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13321-018-0287-6/MediaObjects/13321_2018_287_Figa_HTML.png)
Multi-objective de novo drug design with conditional graph generative model | Journal of Cheminformatics | Full Text
![PDF) Dynamic Response Analysis of Small Wind Energy Conversion Systems (WECS) Operating With Torque Control versus Speed Control | G. Garcera - Academia.edu PDF) Dynamic Response Analysis of Small Wind Energy Conversion Systems (WECS) Operating With Torque Control versus Speed Control | G. Garcera - Academia.edu](https://0.academia-photos.com/attachment_thumbnails/44465754/mini_magick20190214-13718-1u7vklz.png?1550178289)
PDF) Dynamic Response Analysis of Small Wind Energy Conversion Systems (WECS) Operating With Torque Control versus Speed Control | G. Garcera - Academia.edu
![Multi-objective de novo drug design with conditional graph generative model | Journal of Cheminformatics | Full Text Multi-objective de novo drug design with conditional graph generative model | Journal of Cheminformatics | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13321-018-0287-6/MediaObjects/13321_2018_287_Fig2_HTML.png)
Multi-objective de novo drug design with conditional graph generative model | Journal of Cheminformatics | Full Text
![De novo generation of hit-like molecules from gene expression signatures using artificial intelligence | Nature Communications De novo generation of hit-like molecules from gene expression signatures using artificial intelligence | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-019-13807-w/MediaObjects/41467_2019_13807_Fig1_HTML.png)
De novo generation of hit-like molecules from gene expression signatures using artificial intelligence | Nature Communications
![Design and Simulation of a 12-Phase Flywheel Energy Storage Generator System With Linearly Dynamic Load | Semantic Scholar Design and Simulation of a 12-Phase Flywheel Energy Storage Generator System With Linearly Dynamic Load | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/46b9921c1e2d69cdce6f278d43f399d5748e5a18/2-Figure4-1.png)