ReviewACS omega2023
Collective Variables for Crystallization Simulations-from Early Developments to Recent Advances.
Review in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Enhanced Sampling in the Age of Machine Learning: Algorithms and Applications.Chemical reviews · 2026Review
- Theoretical Investigation into Polymorphic Transformation between β-HMX and δ-HMX by Finite Temperature String.Molecules (Basel, Switzerland) · 2024Article
- Exploring Carbamazepine Polymorph Crystal Growth in Water by Enhanced Sampling Simulations.ACS omega · 2024Article
- Machine Learning Classification of Local Environments in Molecular Crystals.Journal of chemical theory and computation · 2024Article
- Machine Learning Nucleation Collective Variables with Graph Neural Networks.Journal of chemical theory and computation · 2024Article
- Spectral Map: Embedding Slow Kinetics in Collective Variables.The journal of physical chemistry letters · 2023Article
- Selecting High-Dimensional Representations of Physical Systems by Reweighted Diffusion Maps.The journal of physical chemistry letters · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Crystallization is an important physicochemical process which has relevance in material science, biology, and the environment. Decades of experimental and theoretical efforts have been made to understand this fundamental symmetry-breaking transition. While experiments provide equilibrium structures and shapes of crystals, they are limited to unraveling how molecules aggregate to form crystal nuclei that subsequently transform into bulk crystals. Computer simulations, mainly molecular dynamics (MD), can provide such microscopic details during the early stage of a crystallization event. Crystallization is a
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.