ArticleAIChE journal. American Institute of Chemical Engineers2021
A survey of multiscale modeling: Foundations, historical milestones, current status, and future prospects.
Article in AIChE journal. American Institute of Chemical Engineers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- A unified machine-learning framework for ab initio multiscale modeling of liquids.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Flow Modeling, Reactor Engineering, and Process Intensification: From Insight to Performance.ACS engineering Au · 2026Review
- A Vision for the Future of Multiscale Modeling.ACS physical chemistry Au · 2024Review
- Predictive Design and Analysis of Drug Transport by Multiscale Computational Models Under Uncertainty.Pharmaceutical research · 2023Review
- Modeling of Hydrodynamic Cavitation Reactors: Reflections on Present Status and Path Forward.ACS engineering Au · 2022Review
- Multiphysics pharmacokinetic model for targeted nanoparticles.Frontiers in medical technology · 2022Article
- Membrane signalosome: where biophysics meets systems biology.Current opinion in systems biology · 2021Article
- A survey of multiscale modeling: Foundations, historical milestones, current status, and future prospects.AIChE journal. American Institute of Chemical Engineers · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Research problems in the domains of physical, engineering, biological sciences often span multiple time and length scales, owing to the complexity of information transfer underlying mechanisms. Multiscale modeling (MSM) and high-performance computing (HPC) have emerged as indispensable tools for tackling such complex problems. We review the foundations, historical developments, and current paradigms in MSM. A paradigm shift in MSM implementations is being fueled by the rapid advances and emerging paradigms in HPC at the dawn of exascale computing. Moreover, amidst the explosion of data science, engineering, and medicine, machine learning (ML) integrated with MSM is poised to enhance the capabilities of standard MSM approaches significantly, particularly in the face of increasing problem complexity. The potential to blend MSM, HPC, and ML presents opportunities for unbound innovation and promises to represent the future of MSM and explainable ML that will likely define the fields in the 21st century.
Indexed as
Identifiers
What Socratic 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 Socratic graph.