Advancing nanomaterials research: A comprehensive review of artificial intelligence applications in geotechnical properties

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dc.authoridDerakhshani, Reza/0000-0001-7499-4384
dc.contributor.authorCemiloglu, Ahmed
dc.contributor.authorZhu, Licai
dc.contributor.authorArslan, Sibel
dc.contributor.authorNanehkaran, Yaser A.
dc.contributor.authorAzarafza, Mohammad
dc.contributor.authorDerakhshani, Reza
dc.date.accessioned2025-05-04T16:45:58Z
dc.date.available2025-05-04T16:45:58Z
dc.date.issued2024
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractThis article explores the role of artificial intelligence (AI) in predicting nanomaterial properties, particularly its significance within geotechnical engineering. By analyzing multiple AI-based studies, the review concentrates on the forecasting of nanomaterial-altered soil characteristics and behaviors. Encouraging findings from these studies underscore AI's ability to accurately predict the geotechnical properties of nanomaterials, though challenges remain, particularly in quantifying nanomaterial percentages and their implications across various applications. Future research should address these challenges to enhance the accuracy of AI-based prediction models in geotechnical engineering. Nonetheless, the growing adoption of AI for predicting nanomaterial properties demonstrates its potential to revolutionize geotechnical engineering. AI's capacity to uncover intricate patterns and relationships beyond human capabilities enables more precise soil behavior predictions, fostering innovative solutions to geotechnical challenges. Its ability to process vast datasets, adapt to various scenarios, and continuously learn from new information makes AI an indispensable tool for understanding nanomaterial properties and their impact on soil behavior. In summary, the integration of AI and geotechnical engineering represents a pivotal advancement in comprehending nanomaterial properties and their practical applications. As research advances and AI technologies evolve, transformative progress in geotechnical engineering is expected. By harnessing AI's capabilities, researchers can unlock groundbreaking insights, drive innovation, and shape a more resilient and sustainable future for the geotechnical engineering industry.
dc.identifier.doi10.12989/anr.2024.17.6.485
dc.identifier.endpage499
dc.identifier.issn2287-237X
dc.identifier.issn2287-2388
dc.identifier.issue6
dc.identifier.scopus2-s2.0-105002984732
dc.identifier.scopusqualityQ1
dc.identifier.startpage485
dc.identifier.urihttps://doi.org/10.12989/anr.2024.17.6.485
dc.identifier.urihttps://hdl.handle.net/20.500.12418/35306
dc.identifier.volume17
dc.identifier.wosWOS:001386679000001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTechno-Press
dc.relation.ispartofAdvances in Nano Research
dc.relation.publicationcategoryDiğer
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250504
dc.subjectartificial intelligence
dc.subjectgeotechnical engineering
dc.subjectintelligent models
dc.subjectnanomaterials
dc.subjectprediction
dc.titleAdvancing nanomaterials research: A comprehensive review of artificial intelligence applications in geotechnical properties
dc.typeReview

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