ArticleCrystal growth & design2023
Conceptual Validation of Stochastic and Deterministic Methods To Estimate Crystal Nucleation Rates.
Article in Crystal growth & design, 2023. 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.
- Ferroelectric Dynamic-Field-Driven Nucleation and Growth Model for Predictive Materials-To-Circuit Co-Design.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Rationalizing the Influence of Solvent on the Nucleation of Griseofulvin through Classical and Nonclassical Pathways.Crystal growth & design · 2025Article
- Spontaneous Emergence of Homochiral Suspensions from Racemic Solutions via Stochastic Nucleation.Journal of the American Chemical Society · 2025Article
- Yield of Protein Crystallization from Metastable Liquid-Liquid Phase Separation.Molecules (Basel, Switzerland) · 2025Article
- Developing a Vial-Scale Methodology for the Measurement of Nucleation Kinetics Using Evaporative Crystallization: A Case Study with Sodium Chloride.Crystal growth & design · 2025Article
- On Solute Recovery and Productivity in Chiral Resolution through Solid-State Deracemization by Temperature Cycling.Crystal growth & design · 2024Article
- Monitoring Aqueous Sucrose Solutions Using Droplet Microfluidics: Ice Nucleation, Growth, Glass Transition, and Melting.Langmuir : the ACS journal of surfaces and colloids · 2024Article
- Exact and Ubiquitous Condition for Solid-State Deracemization in Vitro and in Nature.Journal of the American Chemical Society · 2024Article
- Keeping an "eye" on the experiment: computer vision for real-time monitoring and control.Chemical science · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work presents a generalized framework to assess the accuracy of methods to estimate primary and secondary nucleation rates from experimental data. The crystallization process of a well-studied model compound was simulated by means of a novel stochastic modeling methodology. Nucleation rates were estimated from the simulated data through multiple methods and were compared with the true values. For primary nucleation, no method considered in this work was able to estimate the rates accurately under general conditions. Two deterministic methods that are widely used in the literature were shown to overpredict rates in the presence of secondary nucleation. This behavior is shared by all methods that extract rates from deterministic process attributes, as they are insensitive to primary nucleation if secondary nucleation is sufficiently fast. Two stochastic methods were found to be accurate independent of whether secondary nucleation is present, but they underestimated rates in the case where a large number of primary nuclei are formed. We hence proposed a criterion to probe the accuracy of stochastic methods for arbitrary data sets, thus providing the theoretical foundations required for their rational use. Finally, we showed how both primary and secondary nucleation rates can be inferred from the same set of detection time data by combining deterministic and stochastic considerations.
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.