ReviewNature materials2021
Mesoscopic and multiscale modelling in materials.
Review in Nature materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 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
45 citing papers in PubMed.
- Toward Intelligent Chemical Mechanical Polishing: Integrating Multiscale Modeling and Machine Learning.Materials (Basel, Switzerland) · 2026Review
- Low-Density Materials for Particle Accelerator Applications: Challenges, Capabilities, and Future Directions.Materials (Basel, Switzerland) · 2026Article
- Multiscale Ultraviolet/Visible Absorption Spectroelectrochemistry in Parallel Configuration.Analytical chemistry · 2026Article
- Time-space multiscale model for viscoelastic construction materials using the initial stress method.iScience · 2026Article
- Giga-Voxel Multiscale Composite Architecture Mirrored Through a Data-to-Model Closed-Loop Digital Twin.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Computational Intelligence in Stochastic Reconstruction of Porous Microstructures for Image-Based Poro/Micro-Mechanical Modeling.Archives of computational methods in engineering : state of the art reviews · 2026Review
- Molecular Simulations of Energy Materials.Molecules (Basel, Switzerland) · 2025Article
- All-Atomic Computational Perspectives for Understanding Morphable Electric Double Layers: A Review.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Recent Advances and Future Directions in Thermal, Electrical, and Mechanical Properties of Polymer Composites.Polymers · 2025Article
- Multiscale Mechanical Responses of the Racetrack NbTi Superconducting Coil Under Dynamic Pressures.Materials (Basel, Switzerland) · 2025Article
- Multiscale Simulation of Nanowear-Resistant Coatings.Materials (Basel, Switzerland) · 2025Review
- How multi-scale modeling can help examine social determinants of health and resulting disparities.PLoS computational biology · 2025Article
- A multiscale perspective on cluster-based layered materials: Design and function optimization toward catalytic and energy storage applications.Fundamental research · 2025Review
- AI-driven 3D bioprinting for regenerative medicine: From bench to bedside.Bioactive materials · 2025Review
- Automating alloy design and discovery with physics-aware multimodal multiagent AI.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Damage and Failure Analysis of Polymer-Based Composites.Polymers · 2025Article
- ReLMM: Reinforcement Learning Optimizes Feature Selection in Modeling Materials.Journal of chemical information and modeling · 2025Article
- Density-Nematic Coupling in Isotropic Solution of DNA: Multiscale Model.Macromolecular rapid communications · 2024Article
- Easy-MODA: Simplifying standardised registration of scientific simulation workflows through MODA template guidelines powered by the Enalos Cloud Platform.Computational and structural biotechnology journal · 2024Article
- Optimizing cold storage for uniform airflow and temperature distribution in apple preservation using CFD simulation.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The concept of multiscale modelling has emerged over the last few decades to describe procedures that seek to simulate continuum-scale behaviour using information gleaned from computational models of finer scales in the system, rather than resorting to empirical constitutive models. A large number of such methods have been developed, taking a range of approaches to bridging across multiple length and time scales. Here we introduce some of the key concepts of multiscale modelling and present a sampling of methods from across several categories of models, including techniques developed in recent years that integrate new fields such as machine learning and material design.
Identifiers
34045697What 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.