ArticleThe Journal of chemical physics2012
Hybrid finite element and Brownian dynamics method for diffusion-controlled reactions.
Article in The Journal of chemical physics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Hybrid finite element and Brownian dynamics method for charged particles.The Journal of chemical physics · 2016Article
- Discrete-continuous reaction-diffusion model with mobile point-like sources and sinks.The European physical journal. E, Soft matter · 2016Article
- Computational modeling of subcellular transport and signaling.Current opinion in structural biology · 2014Review
- Diagrammatic analysis of nonhomogeneous diffusion.TheScientificWorldJournal · 2014Article
- A computational kinetic model of diffusion for molecular systems.The Journal of chemical physics · 2013Article
- Reduced dynamic models in epithelial transport.Journal of biophysics (Hindawi Publishing Corporation : Online) · 2013Article
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 at 2 institutions in 1 country.
Funding
Abstract
Diffusion is often the rate determining step in many biological processes. Currently, the two main computational methods for studying diffusion are stochastic methods, such as Brownian dynamics, and continuum methods, such as the finite element method. This paper proposes a new hybrid diffusion method that couples the strengths of each of these two methods. The method is derived for a general multidimensional system, and is presented using a basic test case for 1D linear and radially symmetric diffusion systems.
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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.