filmov
tv
Artificial Intelligence Enhanced Molecular Simulations
![preview_player](https://i.ytimg.com/vi/lO_K15ZC4XM/maxresdefault.jpg)
Показать описание
Title: Artificial Intelligence Enhanced Molecular Simulations
Authors: Jun Zhang, Dechin Chen, Yijie Xia, Yu-Peng Huang, Xiaohan Lin, Xu Han, Ningxi Ni, Zidong Wang, Fan Yu, Lijiang Yang, Yi Isaac Yang, and Yi Qin Gao
Disclaimer: this data was found using the Crossref API and may not be accurate
This summary was generated from the pdf, using AI and other algorithms to extract the figures, text content etc. and summarize the work.
These videos are produced primarily for my own use - easily skimming papers that I have not gotten around to read and see if it's worth it to read. I made them available online in case they are useful for others, so I'm fine with them not looking great. That having been said, if there are simple ways to improve it, let me know. They maybe difficult to implement into my algorithm so chances are I won't bother, but suggestions are still welcome.
If you are are an author or copywrite holder for the work summarized herein, and if you have any issue with the existence or content of this video please let me know. As the content is AI generated, it is likely to contain significant errors so correction of errors is appreciated.
The summary includes figures which are copywrite-protected. I think fair use, under the DMCA, covers my usage, as the video provides commentary and is at least somewhat transformative, but I have no desire to fight anyone on this or test this legal theory, so if you own the copywrite and want the video removed, just let me know and consider it gone.
Authors: Jun Zhang, Dechin Chen, Yijie Xia, Yu-Peng Huang, Xiaohan Lin, Xu Han, Ningxi Ni, Zidong Wang, Fan Yu, Lijiang Yang, Yi Isaac Yang, and Yi Qin Gao
Disclaimer: this data was found using the Crossref API and may not be accurate
This summary was generated from the pdf, using AI and other algorithms to extract the figures, text content etc. and summarize the work.
These videos are produced primarily for my own use - easily skimming papers that I have not gotten around to read and see if it's worth it to read. I made them available online in case they are useful for others, so I'm fine with them not looking great. That having been said, if there are simple ways to improve it, let me know. They maybe difficult to implement into my algorithm so chances are I won't bother, but suggestions are still welcome.
If you are are an author or copywrite holder for the work summarized herein, and if you have any issue with the existence or content of this video please let me know. As the content is AI generated, it is likely to contain significant errors so correction of errors is appreciated.
The summary includes figures which are copywrite-protected. I think fair use, under the DMCA, covers my usage, as the video provides commentary and is at least somewhat transformative, but I have no desire to fight anyone on this or test this legal theory, so if you own the copywrite and want the video removed, just let me know and consider it gone.