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pro vyhledávání: '"Lee, Youhan"'
The current research direction in generative models, such as the recently developed GPT4, aims to find relevant knowledge information for multimodal and multilingual inputs to provide answers. Under these research circumstances, the demand for multil
Externí odkaz:
http://arxiv.org/abs/2401.06443
Consistency and reliability are crucial for conducting AI research. Many famous research fields, such as object detection, have been compared and validated with solid benchmark frameworks. After AlphaFold2, the protein folding task has entered a new
Externí odkaz:
http://arxiv.org/abs/2307.04603
Autor:
Lee, Youhan, Yu, Hasun
Protein language models (pLMs), pre-trained via causal language modeling on protein sequences, have been a promising tool for protein sequence design. In real-world protein engineering, there are many cases where the amino acids in the middle of a pr
Externí odkaz:
http://arxiv.org/abs/2303.16452
Autor:
Wayment-Steele, Hannah K., Kladwang, Wipapat, Watkins, Andrew M., Kim, Do Soon, Tunguz, Bojan, Reade, Walter, Demkin, Maggie, Romano, Jonathan, Wellington-Oguri, Roger, Nicol, John J., Gao, Jiayang, Onodera, Kazuki, Fujikawa, Kazuki, Mao, Hanfei, Vandewiele, Gilles, Tinti, Michele, Steenwinckel, Bram, Ito, Takuya, Noumi, Taiga, He, Shujun, Ishi, Keiichiro, Lee, Youhan, Öztürk, Fatih, Chiu, Anthony, Öztürk, Emin, Amer, Karim, Fares, Mohamed, Participants, Eterna, Das, Rhiju
Messenger RNA-based medicines hold immense potential, as evidenced by their rapid deployment as COVID-19 vaccines. However, worldwide distribution of mRNA molecules has been limited by their thermostability, which is fundamentally limited by the intr
Externí odkaz:
http://arxiv.org/abs/2110.07531
A community-powered search of machine learning strategy space to find NMR property prediction models
Autor:
Bratholm, Lars A., Gerrard, Will, Anderson, Brandon, Bai, Shaojie, Choi, Sunghwan, Dang, Lam, Hanchar, Pavel, Howard, Addison, Huard, Guillaume, Kim, Sanghoon, Kolter, Zico, Kondor, Risi, Kornbluth, Mordechai, Lee, Youhan, Lee, Youngsoo, Mailoa, Jonathan P., Nguyen, Thanh Tu, Popovic, Milos, Rakocevic, Goran, Reade, Walter, Song, Wonho, Stojanovic, Luka, Thiede, Erik H., Tijanic, Nebojsa, Torrubia, Andres, Willmott, Devin, Butts, Craig P., Glowacki, David R., participants, Kaggle
The rise of machine learning (ML) has created an explosion in the potential strategies for using data to make scientific predictions. For physical scientists wishing to apply ML strategies to a particular domain, it can be difficult to assess in adva
Externí odkaz:
http://arxiv.org/abs/2008.05994
Publikováno v:
In Journal of Power Sources 1 March 2016 307:883-890
Akademický článek
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Autor:
Wayment-Steele, Hannah K., Kladwang, Wipapat, Watkins, Andrew M., Kim, Do Soon, Tunguz, Bojan, Reade, Walter, Demkin, Maggie, Romano, Jonathan, Wellington-Oguri, Roger, Nicol, John J., Gao, Jiayang, Onodera, Kazuki, Fujikawa, Kazuki, Mao, Hanfei, Vandewiele, Gilles, Tinti, Michele, Steenwinckel, Bram, Ito, Takuya, Noumi, Taiga, He, Shujun, Ishi, Keiichiro, Lee, Youhan, Öztürk, Fatih, Chiu, Anthony, Öztürk, Emin, Amer, Karim, Fares, Mohamed, Participants, Eterna, Das, Rhiju
Publikováno v:
ArXiv
article-version (number) 1
article-version (status) pre
article-version (number) 1
article-version (status) pre
Messenger RNA-based medicines hold immense potential, as evidenced by their rapid deployment as COVID-19 vaccines. However, worldwide distribution of mRNA molecules has been limited by their thermostability, which is fundamentally limited by the intr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a7e2c57134ceeaf573fb1c170af1ab51
http://europepmc.org/articles/PMC8528079
http://europepmc.org/articles/PMC8528079
Akademický článek
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Akademický článek
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