{"published":"2021-12-05 19:03:28","provider_name":"Hatena Blog","width":"100%","type":"rich","blog_url":"https://ai-de-seikei.hatenablog.com/","description":"Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations Raissi, M., Perdikaris, P., & Karniadakis, G. E. (2019). Physics-informed neural networks: A deep learning framework for solving forward and inverse\u2026","height":"190","provider_url":"https://hatena.blog","image_url":null,"version":"1.0","author_name":"fanta_orange_grape","title":"Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations\u3000\u89e3\u8aad","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fai-de-seikei.hatenablog.com%2Fentry%2F2021%2F12%2F05%2F190328\" title=\"Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations\u3000\u89e3\u8aad - AI\u3046\u3049\uff0d\uff0d\uff01(ai-wo-katsuyo-shitai !)\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_title":"AI\u3046\u3049\uff0d\uff0d\uff01(ai-wo-katsuyo-shitai !)","author_url":"https://blog.hatena.ne.jp/fanta_orange_grape/","categories":[],"url":"https://ai-de-seikei.hatenablog.com/entry/2021/12/05/190328"}