ReviewiScience2022
Chemical vapor deposition of 2D materials: A review of modeling, simulation, and machine learning studies.
Review in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Liquid-Metal Interfacial Chemistry for Crystal and Defect Engineering in Two-Dimensional Post-Transition-Metal Materials.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Review
- Development of a ReaxFF Reactive Force Field for the Crystallization of van der Waals-Layered Bismuth Selenide.The journal of physical chemistry. C, Nanomaterials and interfaces · 2026Article
- The Strategic Role of 2D Nanomaterials in Grid Modernization.ACS energy letters · 2026Article
- Beyond graphene: the MXene era in bioprinting.Biomedical engineering online · 2026Review
- Insights into Graphene Nanostructures, Fabrication Techniques, Mechanical, and Functional Behavior Characterization.Small science · 2025Review
- A comprehensive review of graphene-based biosensors: Fabrication, applications, characterization and future perspectives-A review.APL bioengineering · 2025Review
- Low-dimensional metal chalcogenides for wearable gas sensing.Nano convergence · 2025Review
- Alternative Metallocenes in Floating Catalyst-CVD: Synthesis of Novel Carbon Nanostructures.Nanotechnology, science and applications · 2025Article
- Machine learning enabled fast optical identification and characterization of 2D materials.Scientific reports · 2024Article
- Multiscale Models of CVD Process: Review and Prospective.Materials (Basel, Switzerland) · 2024Review
- Article
- When Machine Learning Meets 2D Materials: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Active machine learning model for the dynamic simulation and growth mechanisms of carbon on metal surface.Nature communications · 2024Article
- Advances in the Fabrication of Nanoporous Anodic Aluminum Oxide and Its Applications to Sensors: A Review.Nanomaterials (Basel, Switzerland) · 2023Review
- Growth mechanisms of monolayer hexagonal boron nitride (Nanoscale advances · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chemical vapor deposition (CVD) is extensively used to produce large-area two-dimensional (2D) materials. Current research is aimed at understanding mechanisms underlying the nucleation and growth of various 2D materials, such as graphene, hexagonal boron nitride (hBN), and transition metal dichalcogenides (e.g., MoS
Indexed as
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.