Sciact
  • EN
  • RU

Top 20 influential AI-based technologies in chemistry Научная публикация

Журнал Artificial Intelligence Chemistry
ISSN: 2949-7477
Вых. Данные Год: 2024, Том: 2, Номер: 2, Номер статьи : 100075, Страниц : DOI: 10.1016/j.aichem.2024.100075
Авторы Ananikov Valentine P. 1
Организации
1 Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Leninsky pr. 47, Moscow 119991, Russia

Реферат: The beginning and ripening of digital chemistry is analyzed focusing on the role of artificial intelligence (AI) in an expected leap in chemical sciences to bring this area to the next evolutionary level. The analytic description selects and highlights the top 20 AI-based technologies and 7 broader themes that are reshaping the field. It underscores the integration of digital tools such as machine learning, big data, digital twins, the Internet of Things (IoT), robotic platforms, smart control of chemical processes, virtual reality and blockchain, among many others, in enhancing research methods, educational approaches, and industrial practices in chemistry. The significance of this study lies in its focused overview of how these digital innovations foster a more efficient, sustainable, and innovative future in chemical sciences. This article not only illustrates the transformative impact of these technologies but also draws new pathways in chemistry, offering a broad appeal to researchers, educators, and industry professionals to embrace these advancements for addressing contemporary challenges in the field.
Библиографическая ссылка: Ananikov V.P.
Top 20 influential AI-based technologies in chemistry
Artificial Intelligence Chemistry. 2024. V.2. N2. 100075 . DOI: 10.1016/j.aichem.2024.100075 OpenAlex
Идентификаторы БД:
OpenAlex: W4401043975
Цитирование в БД:
БД Цитирований
OpenAlex 5
Альметрики: