Machine Learning-Driven Multidomain Nanomaterial Design: From Bibliometric Analysis to Applications

ACS Applied Nano Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 21, 2024

Machine learning (ML), as an advanced data analysis tool, simulates the process of human brain, enabling extraction features, discovery patterns, and making accurate predictions or decisions from complex data. In field nanomaterial design, application ML technology not only accelerates performance optimization nanomaterials but also promotes innovation materials science research methods. Bibliometrics, a method based on quantitative analysis, provides us with macro perspective to observe understand in design by statistically analyzing various indicators scientific literature. This paper quantitatively analyzes literature related ML-driven seven dimensions, revealing importance necessity design. It systematically diversified applications combination suitable algorithms being key enhancing nanomaterials. addition, this discusses current challenges future development directions, including quality set construction, algorithm optimization, deepening interdisciplinary cooperation. review researchers state trends ideas suggestions for research. is significant value promoting progress fostering in-depth research, accelerating innovative material technologies.

Language: Английский

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On-site rapid detection of perfluorooctanoic acid by visual immunochromatographic strip biosensor in domestic water and real human samples

Environmental Pollution, Journal Year: 2024, Volume and Issue: 348, P. 123776 - 123776

Published: March 14, 2024

Language: Английский

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Innovative application of basalt fibers as biological carrier in constructed wetland-microbial fuel cell for improvement of performance under perfluorooctanoic acid exposure

Bioresource Technology, Journal Year: 2024, Volume and Issue: 406, P. 131019 - 131019

Published: June 20, 2024

Language: Английский

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Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 469, P. 134074 - 134074

Published: March 19, 2024

Language: Английский

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Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 354, P. 120406 - 120406

Published: Feb. 18, 2024

Language: Английский

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Modified basalt fiber filled in constructed wetland-microbial fuel cell: Comparison of performance and microbial impacts under PFASs exposure

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 476, P. 135179 - 135179

Published: July 13, 2024

Language: Английский

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Interactions between biofilms and PFASs in aquatic ecosystems: Literature exploration

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 906, P. 167469 - 167469

Published: Sept. 29, 2023

Language: Английский

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The introduction of influent sulfamethoxazole loads induces changes in the removal pathways of sulfamethoxazole in vertical flow constructed wetlands featuring hematite substrate

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 469, P. 133964 - 133964

Published: March 5, 2024

Language: Английский

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Whatever does not kill them makes them stronger: using quaternary ammonia antimicrobials to alleviate the inhibition of ammonia oxidation under perfluorooctanoic acid stress

Water Research, Journal Year: 2024, Volume and Issue: 263, P. 122171 - 122171

Published: July 29, 2024

Language: Английский

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Responding to nitrogen removal of constructed wetlands with modified basalt fiber bio-nest under differernt chain-lengths perfluorocarboxylic acids exposure: Decontamination and metabolism

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121377 - 121377

Published: March 1, 2025

Language: Английский

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