ReviewRSC advances2024
MXenes and artificial intelligence: fostering advancements in synthesis techniques and breakthroughs in applications.
Review in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Review
- Engineering MXene Nanomaterials: Structure-Property Relationships, Functional Design, and Emerging Technologies.Nanomaterials (Basel, Switzerland) · 2026Review
- MXene Nanomaterial Interfaces: Pioneering Neural Signal Recording for Brain-Computer Interfaces and Cognitive Therapy.Topics in current chemistry (Cham) · 2026Review
- Advances in Wearable Technology: MXene-Based Multifunctional and Biomedical Smart Textiles.ACS omega · 2026Review
- Advances in MXene Materials: Fabrication, Properties, and Applications.Materials (Basel, Switzerland) · 2025Review
- Biomedical potentials of MXene-based self-powered wearable devices: the future of next-generation wearables.RSC advances · 2025Review
- Fatigue life predictor: predicting fatigue life of metallic material using LSTM with a contextual attention model.RSC advances · 2025Article
- Transition metal phosphide/ molybdenum disulfide heterostructures towards advanced electrochemical energy storage: recent progress and challenges.RSC advances · 2025Review
- Meta-analyses of the evolution of MXene synthesis for bioengineering and artificial intelligence-driven applications.Communications materials · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review explores the synergistic relationship between MXenes and artificial intelligence (AI), highlighting recent advancements in predicting and optimizing the properties, synthesis routes, and diverse applications of MXenes and their composites. MXenes possess fascinating characteristics that position them as promising candidates for a variety of technological applications, including energy storage, sensors/detectors, actuators, catalysis, and neuromorphic systems. The integration of AI methodologies provides a robust toolkit to tackle the complexities inherent in MXene research, facilitating property predictions and innovative applications. We discuss the challenges associated with the predictive capabilities for novel properties of MXenes and emphasize the necessity for sophisticated AI models to unravel the intricate relationships between structural features and material behaviors. Moreover, we examine the optimization of synthesis routes for MXenes through AI-driven approaches, underscoring the potential for streamlining and enhancing synthesis processes
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.