{"id":"2102.04626","title":"Physics-informed neural networks with hard constraints for inverse design","url":"https://codeofpaper.com/paper/2102.04626","arxiv_url":"https://arxiv.org/abs/2102.04626","published":"2021-02-09","code":"official","best":{"full_name":"lululxvi/hpinn","url":"https://github.com/lululxvi/hpinn","tier":"official","stars":161,"license":"Apache-2.0","framework":null,"language":"Jupyter Notebook","last_commit":"2021-11-21T20:26:28"},"most_starred_community":null,"implementations":[{"full_name":"lululxvi/hpinn","url":"https://github.com/lululxvi/hpinn","tier":"official","stars":161,"license":"Apache-2.0","framework":null,"language":"Jupyter Notebook","last_commit":"2021-11-21T20:26:28"}],"possible_matches":0}