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Autor:
Smith, Nicole A., Shaw, Katharina S.
Publikováno v:
Journal of the American Academy of Dermatology; Aug2024, Vol. 91 Issue 2, pe33-e34, 2p
Autor:
Paul, Lennart, Urrea-Quintero, Jorge-Humberto, Fiaz, Umer, Hussein, Ali, Yaghi, Hazem, Wessels, Henning, Römer, Ulrich, Stahlmann, Joachim
This work introduces a surrogate modeling approach for an emplacement drift of a deep geological repository based on Gaussian Processes (GPs). The surrogate model is used as a substitute for the high-fidelity mechanical model in many-query scenarios,
Externí odkaz:
http://arxiv.org/abs/2409.02576
Autor:
Rampal, Nakul, Wang, Kaiyu, Burigana, Matthew, Hou, Lingxiang, Al-Johani, Juri, Sackmann, Anna, Murayshid, Hanan S., Al-Sumari, Walaa Abdullah, Al-Abdulkarim, Arwa M., Al-Hazmi, Nahla Eid, Al-Awad, Majed O., Borgs, Christian, Chayes, Jennifer T., Yaghi, Omar M.
The rapid advancement in artificial intelligence and natural language processing has led to the development of large-scale datasets aimed at benchmarking the performance of machine learning models. Herein, we introduce 'RetChemQA,' a comprehensive be
Externí odkaz:
http://arxiv.org/abs/2405.02128
Autor:
PALOMARES, MANUEL
Publikováno v:
Tiempo y Clima. oct2018, Issue 62, p40-41. 2p.
Autor:
Liu, Shengchao, Du, Weitao, Li, Yanjing, Li, Zhuoxinran, Bhethanabotla, Vignesh, Rampal, Nakul, Yaghi, Omar, Borgs, Christian, Anandkumar, Anima, Guo, Hongyu, Chayes, Jennifer
In drug discovery, molecular dynamics (MD) simulation for protein-ligand binding provides a powerful tool for predicting binding affinities, estimating transport properties, and exploring pocket sites. There has been a long history of improving the e
Externí odkaz:
http://arxiv.org/abs/2401.15122
Autor:
Keinan, Ehud1 keinan@technion.ac.il
Publikováno v:
Israel Journal of Chemistry. Oct2018, Vol. 58 Issue 9/10, p1171-1184. 14p.
Autor:
Monge, Angeles1 amonge@icmm.csic.es, Gutierrez‐Puebla, Enrique1 egutierrez@icmm.csic.es
Publikováno v:
Israel Journal of Chemistry. Oct2018, Vol. 58 Issue 9/10, p946-948. 3p.
Autor:
Zheng, Zhiling, He, Zhiguo, Khattab, Omar, Rampal, Nakul, Zaharia, Matei A., Borgs, Christian, Chayes, Jennifer T., Yaghi, Omar M.
The integration of artificial intelligence into scientific research has reached a new pinnacle with GPT-4V, a large language model featuring enhanced vision capabilities, accessible through ChatGPT or an API. This study demonstrates the remarkable ab
Externí odkaz:
http://arxiv.org/abs/2312.05468
Autor:
Yaghi, Amjad Ayman (AUTHOR)
Publikováno v:
Electronic Intifada. 3/13/2024, pN.PAG-N.PAG. 1p.