Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities DOI
Eslam G. Al-Sakkari, Ahmed Ragab, Hanane Dagdougui

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 917, С. 170085 - 170085

Опубликована: Янв. 15, 2024

Язык: Английский

Chemical Flexibility of Atomically Precise Metal Clusters DOI
Si Li, Nana Li, Xi‐Yan Dong

и другие.

Chemical Reviews, Год журнала: 2024, Номер 124(11), С. 7262 - 7378

Опубликована: Май 2, 2024

Ligand-protected metal clusters possess hybrid properties that seamlessly combine an inorganic core with organic ligand shell, imparting them exceptional chemical flexibility and unlocking remarkable application potential in diverse fields. Leveraging to expand the library of available materials stimulate development new functionalities is becoming increasingly pressing requirement. This Review focuses on origin from structural analysis, including intra-cluster bonding, inter-cluster interactions, cluster-environments metal-to-ligand ratios, thermodynamic effects. In introduction, we briefly outline explain differences commonalities M(I)/M(I/0) coinage clusters. Additionally, distinguish bonding characteristics atoms core, which give rise their distinct flexibility. Section 2 delves into categories, theories related following sections 3 7, primarily elucidate mechanisms trigger flexibility, dynamic processes transformation, resultant alterations structure, ensuing modifications physical–chemical properties. 8 presents notable applications have emerged utilizing assemblies. Finally, section 9, discuss future challenges opportunities within this area.

Язык: Английский

Процитировано

55

Machine learning accelerates the investigation of targeted MOFs: Performance prediction, rational design and intelligent synthesis DOI

Jing Lin,

Zhimeng Liu, Yujie Guo

и другие.

Nano Today, Год журнала: 2023, Номер 49, С. 101802 - 101802

Опубликована: Март 10, 2023

Язык: Английский

Процитировано

48

Accelerated chemical science with AI DOI Creative Commons
Seoin Back,

Alán Aspuru-Guzik,

Michele Ceriotti

и другие.

Digital Discovery, Год журнала: 2023, Номер 3(1), С. 23 - 33

Опубликована: Дек. 6, 2023

The ASLLA Symposium focused on accelerating chemical science with AI. Discussions data, new applications, algorithms, and education were summarized. Recommendations for researchers, educators, academic bodies provided.

Язык: Английский

Процитировано

46

Data-driven-aided strategies in battery lifecycle management: Prediction, monitoring, and optimization DOI

Liqianyun Xu,

Feng Wu, Renjie Chen

и другие.

Energy storage materials, Год журнала: 2023, Номер 59, С. 102785 - 102785

Опубликована: Апрель 23, 2023

Язык: Английский

Процитировано

44

Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities DOI
Eslam G. Al-Sakkari, Ahmed Ragab, Hanane Dagdougui

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 917, С. 170085 - 170085

Опубликована: Янв. 15, 2024

Язык: Английский

Процитировано

40