Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Cruse, Kevin"'
Autor:
Walker, Nicholas, Dagdelen, John, Cruse, Kevin, Lee, Sanghoon, Gleason, Samuel, Dunn, Alexander, Ceder, Gerbrand, Alivisatos, A. Paul, Persson, Kristin A., Jain, Anubhav
Although gold nanorods have been the subject of much research, the pathways for controlling their shape and thereby their optical properties remain largely heuristically understood. Although it is apparent that the simultaneous presence of and intera
Externí odkaz:
http://arxiv.org/abs/2304.13846
Publikováno v:
Sci. Adv. 9, eadg8180 (2023)
Synthesis prediction is a key accelerator for the rapid design of advanced materials. However, determining synthesis variables such as the choice of precursor materials is challenging for inorganic materials because the sequence of reactions during h
Externí odkaz:
http://arxiv.org/abs/2302.02303
Autor:
Cruse, Kevin, Trewartha, Amalie, Lee, Sanghoon, Wang, Zheren, Huo, Haoyan, He, Tanjin, Kononova, Olga, Jain, Anubhav, Ceder, Gerbrand
Gold nanoparticles are highly desired for a range of technological applications due to their tunable properties, which are dictated by the size and shape of the constituent particles. Many heuristic methods for controlling the morphological character
Externí odkaz:
http://arxiv.org/abs/2204.10379
Autor:
Wang, Zheren, Cruse, Kevin, Fei, Yuxing, Chia, Ann, Zeng, Yan, Huo, Haoyan, He, Tanjin, Deng, Bowen, Kononova, Olga, Ceder, Gerbrand
Applying AI power to predict syntheses of novel materials requires high-quality, large-scale datasets. Extraction of synthesis information from scientific publications is still challenging, especially for extracting synthesis actions, because of the
Externí odkaz:
http://arxiv.org/abs/2201.09329
Autor:
Subramanian, Akshay, Cruse, Kevin, Trewartha, Amalie, Wang, Xingzhi, Alivisatos, A. Paul, Ceder, Gerbrand
The factors controlling the size and morphology of nanoparticles have so far been poorly understood. Data-driven techniques are an exciting avenue to explore this field through the identification of trends and correlations in data. However, for these
Externí odkaz:
http://arxiv.org/abs/2112.01689
Autor:
Wang, Zheren, Kononova, Olga, Cruse, Kevin, He, Tanjin, Huo, Haoyan, Fei, Yuxing, Zeng, Yan, Sun, Yingzhi, Cai, Zijian, Sun, Wenhao, Ceder, Gerbrand
The development of a materials synthesis route is usually based on heuristics and experience. A possible new approach would be to apply data-driven approaches to learn the patterns of synthesis from past experience and use them to predict the synthes
Externí odkaz:
http://arxiv.org/abs/2111.10874
Autor:
Trewartha, Amalie, Dagdelen, John, Huo, Haoyan, Cruse, Kevin, Wang, Zheren, He, Tanjin, Subramanian, Akshay, Fei, Yuxing, Justus, Benjamin, Persson, Kristin, Ceder, Gerbrand
The ongoing COVID-19 pandemic has had far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community's COVID-19 response has lead to the emergence of new research literature on a remark
Externí odkaz:
http://arxiv.org/abs/2012.03891
Autor:
Abdelsamie, Maged, Hong, Kootak, Cruse, Kevin, Bartel, Christopher J., Baibakova, Viktoriia, Trewartha, Amalie, Jain, Anubhav, Ceder, Gerbrand, Sutter-Fella, Carolin M.
Publikováno v:
In Matter 6 December 2023 6(12):4291-4305
Autor:
Trewartha, Amalie, Walker, Nicholas, Huo, Haoyan, Lee, Sanghoon, Cruse, Kevin, Dagdelen, John, Dunn, Alexander, Persson, Kristin A., Ceder, Gerbrand, Jain, Anubhav
Publikováno v:
In Patterns 8 April 2022 3(4)
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