Graphene with suitable-size nitrogen-doped cavity being an excellent photocatalyst for proton-coupled electron transfer in water splitting DOI

Huizhong Ma,

Lingling Sun, Yuchen Ma

и другие.

Carbon, Год журнала: 2024, Номер 230, С. 119626 - 119626

Опубликована: Сен. 11, 2024

Язык: Английский

MXenes and its composite structures: synthesis, properties, applications, 3D/4D printing, and artificial intelligence; machine learning integration DOI Creative Commons

Vimukthi Dananjaya,

Nethmi Hansika,

Sathish Marimuthu

и другие.

Progress in Materials Science, Год журнала: 2025, Номер unknown, С. 101433 - 101433

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

6

Transformative strategies in photocatalyst design: merging computational methods and deep learning DOI Open Access
Jianqiao Liu, Liqian Liang, Baofeng Su

и другие.

Journal of Materials Informatics, Год журнала: 2024, Номер 4(4)

Опубликована: Дек. 31, 2024

Photocatalysis is a unique technology that harnesses solar energy through in-situ processes, operating without the need for external inputs. It integral to advancing environmental, energy, chemical, and carbon-neutral objectives, promoting dual goals of pollution control carbon reduction. However, conventional approach photocatalyst design faces challenges such as inefficiency, high costs, low success rates, highlighting integrating modern technologies seeking new paradigms. Here, we demonstrate comprehensive overview transformative strategies in design, combining computational materials science with deep learning technologies. The review covers fundamental principles followed by examination methods workflow deep-learning-assisted design. Deep approaches are extensively reviewed, focusing on discovery novel photocatalysts, microstructure property optimization, approaches, application exploration, mechanistic insights into photocatalysis. Finally, highlight synergy between multidimensional computation learning, while discussing future directions development. This offers summary offering not only enhance development photocatalytic but also expand practical applications photocatalysis various domains.

Язык: Английский

Процитировано

8

Two-dimensional TiNBr as photocatalyst for overall water splitting DOI
Yatong Wang, Geert Brocks, Ceren Tayran

и другие.

Physical Review Materials, Год журнала: 2025, Номер 9(2)

Опубликована: Фев. 25, 2025

Язык: Английский

Процитировано

1

High-Throughput Screening of Molecule/Polymer Photocatalysts for the Hydrogen Evolution Reaction DOI Creative Commons
Lei Shi, Alessandro Troisi

ACS Catalysis, Год журнала: 2025, Номер unknown, С. 6690 - 6701

Опубликована: Апрель 10, 2025

Although there has been progress in designing organic photocatalysts, identifying and structurally distinct polymeric or molecular photocatalysts with high performance is still challenging. Using the properties of a set well-known polymer we performed virtual screening large data around 50 000 semiconductors. In initial stage, looked for candidates electronic similar to those best-performing photocatalysts. Next, screened using reactivity descriptors based on mechanisms derived from quantum chemical calculations selected cases. We identified 33 potential as hydrogen evolution reaction.

Язык: Английский

Процитировано

0

Rational Design of Effective Photocatalysts for Water Splitting by Assembling a Donor and an Acceptor into Covalent Organic Frameworks DOI
Renjie Li, Peng Wu,

Jinyan Du

и другие.

The Journal of Physical Chemistry C, Год журнала: 2025, Номер unknown

Опубликована: Май 21, 2025

Язык: Английский

Процитировано

0

Graphene with suitable-size nitrogen-doped cavity being an excellent photocatalyst for proton-coupled electron transfer in water splitting DOI

Huizhong Ma,

Lingling Sun, Yuchen Ma

и другие.

Carbon, Год журнала: 2024, Номер 230, С. 119626 - 119626

Опубликована: Сен. 11, 2024

Язык: Английский

Процитировано

1