том 56 издание 8 страницы 1259-1262

Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut–Currier and [3+2] annulation sequence

Тип публикацииJournal Article
Дата публикации2020-01-01
SCImago Q1
WOS Q2
БС1
SJR0.907
CiteScore7.2
Impact factor4.3
ISSN13597345, 1364548X
Materials Chemistry
Metals and Alloys
Surfaces, Coatings and Films
General Chemistry
Ceramics and Composites
Electronic, Optical and Magnetic Materials
Catalysis
Краткое описание
A highly atom-economical enantioselective organocatalyzed Rauhut–Currier and [3+2] annulation sequence has been established by using a flow system. Suitable flow conditions were explored through reaction screening of multiple parameters using machine learning. Eventually, functionalized chiral spirooxindole analogues were obtained in high yield with good ee as a single diastereomer within one minute.
Для доступа к списку цитирований публикации необходимо авторизоваться.
Для доступа к списку профилей, цитирующих публикацию, необходимо авторизоваться.

Топ-30

Журналы

1
2
3
Reaction Chemistry and Engineering
3 публикации, 5.17%
Organic Chemistry Frontiers
3 публикации, 5.17%
Chemical Communications
3 публикации, 5.17%
European Journal of Organic Chemistry
2 публикации, 3.45%
Organic and Biomolecular Chemistry
2 публикации, 3.45%
Journal of Fluorine Chemistry
2 публикации, 3.45%
Yuki Gosei Kagaku Kyokaishi/Journal of Synthetic Organic Chemistry
2 публикации, 3.45%
Asian Journal of Organic Chemistry
2 публикации, 3.45%
Artificial Intelligence Review
1 публикация, 1.72%
Organic Process Research and Development
1 публикация, 1.72%
Current Organocatalysis
1 публикация, 1.72%
Chemistry Letters
1 публикация, 1.72%
Catalysts
1 публикация, 1.72%
Frontiers in Chemical Engineering
1 публикация, 1.72%
Nature
1 публикация, 1.72%
Scientific Reports
1 публикация, 1.72%
Communications Chemistry
1 публикация, 1.72%
Trends in Chemistry
1 публикация, 1.72%
Materials Today Communications
1 публикация, 1.72%
Tetrahedron Chem
1 публикация, 1.72%
Chemical Record
1 публикация, 1.72%
ChemCatChem
1 публикация, 1.72%
Chemistry - Methods
1 публикация, 1.72%
Journal of Organic Chemistry
1 публикация, 1.72%
Organic Letters
1 публикация, 1.72%
Green Chemistry
1 публикация, 1.72%
Science advances
1 публикация, 1.72%
Topics in Medicinal Chemistry
1 публикация, 1.72%
ACS Sustainable Chemistry and Engineering
1 публикация, 1.72%
Advanced Synthesis and Catalysis
1 публикация, 1.72%
1
2
3

Издатели

2
4
6
8
10
12
14
16
Royal Society of Chemistry (RSC)
15 публикаций, 25.86%
Wiley
12 публикаций, 20.69%
Springer Nature
7 публикаций, 12.07%
American Chemical Society (ACS)
6 публикаций, 10.34%
Elsevier
6 публикаций, 10.34%
MDPI
3 публикации, 5.17%
Oxford University Press
2 публикации, 3.45%
The Society of Synthetic Organic Chemistry, Japan
2 публикации, 3.45%
Bentham Science Publishers Ltd.
1 публикация, 1.72%
Frontiers Media S.A.
1 публикация, 1.72%
American Association for the Advancement of Science (AAAS)
1 публикация, 1.72%
Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii
1 публикация, 1.72%
Beilstein-Institut
1 публикация, 1.72%
2
4
6
8
10
12
14
16
  • Мы не учитываем публикации, у которых нет DOI.
  • Статистика публикаций обновляется еженедельно.

Вы ученый?

Создайте профиль, чтобы получать персональные рекомендации коллег, конференций и новых статей.
 Войти с ORCID
Метрики
58
Поделиться
Цитировать
ГОСТ |
Цитировать
Kondo M. et al. Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut–Currier and [3+2] annulation sequence // Chemical Communications. 2020. Vol. 56. No. 8. pp. 1259-1262.
ГОСТ со всеми авторами (до 50) Скопировать
Kondo M. et al. Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut–Currier and [3+2] annulation sequence // Chemical Communications. 2020. Vol. 56. No. 8. pp. 1259-1262.
RIS |
Цитировать
TY - JOUR
DO - 10.1039/c9cc08526b
UR - https://xlink.rsc.org/?DOI=C9CC08526B
TI - Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut–Currier and [3+2] annulation sequence
T2 - Chemical Communications
AU - Kondo, Masaru
AU - Wathsala, H D P
AU - Sako, Makoto
AU - Hanatani, Yutaro
AU - Ishikawa, Kazunori
AU - Hara, Satoshi
AU - Takaai, Takayuki
AU - WASHIO, TAKASHI
AU - Takizawa, Shinobu
AU - Sasai, Hiroaki
PY - 2020
DA - 2020/01/01
PB - Royal Society of Chemistry (RSC)
SP - 1259-1262
IS - 8
VL - 56
PMID - 31903462
SN - 1359-7345
SN - 1364-548X
ER -
BibTex |
Цитировать
BibTex (до 50 авторов) Скопировать
@article{2020_Kondo,
author = {Masaru Kondo and H D P Wathsala and Makoto Sako and Yutaro Hanatani and Kazunori Ishikawa and Satoshi Hara and Takayuki Takaai and TAKASHI WASHIO and Shinobu Takizawa and Hiroaki Sasai and others},
title = {Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut–Currier and [3+2] annulation sequence},
journal = {Chemical Communications},
year = {2020},
volume = {56},
publisher = {Royal Society of Chemistry (RSC)},
month = {jan},
url = {https://xlink.rsc.org/?DOI=C9CC08526B},
number = {8},
pages = {1259--1262},
doi = {10.1039/c9cc08526b}
}
MLA
Цитировать
Kondo, Masaru, et al. “Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut–Currier and [3+2] annulation sequence.” Chemical Communications, vol. 56, no. 8, Jan. 2020, pp. 1259-1262. https://xlink.rsc.org/?DOI=C9CC08526B.
Ошибка в публикации?