Development of photoelectrochemical water splitting photoanode: bibliometric analysis and artificial intelligence advancement

被引:0
|
作者
Hadiyawarman [2 ]
Wisely, Nick [2 ]
Iqbal, Muhammad [2 ,3 ]
Timuda, Gerald Ensang [1 ]
Darsono, Nono [4 ]
Yuliarto, Brian [2 ,3 ]
Khaerudini, Deni Shidqi [1 ]
机构
[1] Badan Riset & Inovasi Nas BRIN, Res Ctr Adv Mat, Tangerang Selatan 15314, Indonesia
[2] Inst Teknol Bandung, Fac Ind Technol, Adv Funct Mat Res Grp, Bandung 40132, Indonesia
[3] Inst Teknol Bandung, Res Ctr Nanosci & Nanotechnol, Bandung 40132, Indonesia
[4] Badan Riset & Inovasi Nas BRIN, Res Ctr Energy Convers & Conservat, Tangerang Selatan 15314, Indonesia
关键词
Photoelectrochemical water splitting; Photoanode; Bibliometric data; Cluster analysis artificial intelligence; Machine learning; P-TYPE NIO; FUEL-CELLS; CHARGE SEPARATION; ZINC-OXIDE; THIN-FILM; HYDROGEN; EFFICIENT; DRIVEN; PERFORMANCE; PHOTOELECTROLYSIS;
D O I
10.1007/s10098-023-02686-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Amid the rapid evolution of renewable energy, the significance of green hydrogen is growing substantially. Hydrogen is the inevitable future of fuel, where its green production remains a challenge. Photoelectrochemical water splitting (PEC-WS) is the most promising green hydrogen production method utilizing the abundance of both Sun energy and water as the main advantages. However, studies scrutinizing PEC-WS from bibliometric analysis and visual perspectives remain scarce. This research endeavors to illuminate the prevailing landscape of PEC-WS via journal visualization analysis and to foster an enriched comprehension of the ongoing trajectory by means of a comprehensive bibliometric evaluation encompassing Scopus bibliometric databases from diverse relevant journals. Our assessment encompassed a corpus of 2903 articles sourced from 72 reputable journals spanning the years from 1981 to August 22, 2023, encapsulating a 42-year period. Over this span, we meticulously scrutinized various parameters including annual advancements, keyword co-occurrence, global participation, funding sponsors, impactful articles, and recent strides in photoanode materials. The findings reveal the growing interest in research in photoanode materials for PEC-WS since 2011. The analysis also identifies key research trends, notably the increasing focus on earth-abundant materials to achieve high solar-to-hydrogen (STH) efficiency. Additionally, this study sheds light on the growing interest in the integration of artificial intelligence (AI) to expedite the development of PEC-WS photoanodes, marking a pivotal advancement in materials discovery and optimization. In the realm of research output, China plays a prominent dual role as both the most contributive country and a leading funding sponsor. We suggest that these research findings are able to influence educational programs, industry reports, policymakers, and funding initiatives.
引用
收藏
页码:599 / 621
页数:23
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