How crystals form: A theory of nucleation pathways
Open accessAbstract
A theory of nucleation that is able to predict nonclassical pathways and intermediates for crystallization is formulated.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A variety of precursor phases exist in the early stages of carbonate crystallization, including prenucleation clusters, metastable liquid-like precursors, mesocrystals and amorphous and nanophase precursors.
“Recent studies have shown that a variety of precursor phases exist in the early stages of carbonate crystallization, including prenucleation clusters, metastable liquid-like precursors, mesocrystals and amorphous and nanophase precursors [114-123].”
From Thermodynamic and Kinetic Studies of Dolomite Formation: A Review (2023) · cites this paper as [123]
The Introduction says complex nucleation pathways have been reported for calcium carbonate, and the References identify a study of stable prenucleation calcium carbonate clusters. But this paper does not establish that metastable liquid-like precursors, mesocrystals, or amorphous and nanophase precursors all occur in early carbonate crystallization; its discussion of other precursor types concerns crystallization more generally. Page numbers were not available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Reaction-rate theory: fifty years after Kramers
Hänggi, P., Talkner, P., & Borkovec, M. (1990) · Reviews of Modern Physics · doi:10.1103/revmodphys.62.251 · Cited by 6,154 · see citing works
Flagged first, then by citations
Research works printed but not linked: 46
- [2]Ablasser A., Phase separation focuses DNA sensing. Science 361, 646– 647 (2018). 30115795
- [3]Olafson K. N., Nguyen T. Q., Rimer J. D., Vekilov P. G., Antimalarials inhibit hematin crystallization by unique drug–surface site interactions. Proc. Natl. Acad. Sci. U.S.A. 114, 7531– 7536 (2017). 28559329 PMC5530657
- [4]Harper J. D., Lieber C. M., Lansbury P. T. Jr., Atomic force microscopic imaging of seeded fibril formation and fibril branching by the Alzheimer’s disease amyloid-β protein. Chem. Biol. 4, 951– 959 (1997). 9427660
- [5]Walsh D. M., Lomakin A., Benedek G. B., Condron M. M., Teplow D. B., Amyloid β-protein fibrillogenesis. Detection of a protofibrillar intermediate. J. Biol. Chem. 272, 22364– 22372 (1997). 9268388
- [6]Erdemir D., Lee A. Y., Myerson A. S., Polymorph selection: The role of nucleation, crystal growth and molecular modeling. Curr. Opin. Drug Discov. Dev. 10, 746– 755 (2007). 17987526
- [8]Lam J., Lutsko J. F., Lattice induced crystallization of nanodroplets: The role of finite-size effects and substrate properties in controlling polymorphism. Nanoscale 10, 4921– 4926 (2018). 29480297
- [9]Driessche A. E. S. V., Van Gerven N., Bomans P. H. H., Joosten R. R. M., Friedrich H., Gil-Carton D., Sommerdijk N. A. J. M., Sleutel M., Molecular nucleation mechanisms and control strategies for crystal polymorph selection. Nature 556, 89– 94 (2018). 29620730
- [10]Schreiber R. E., Houben L., Wolf S. G., Leitus G., Lang Z.-L., Carbó J. J., Poblet J. M., Neumann R., Real-time molecular scale observation of crystal formation. Nat. Chem. 9, 369– 373 (2017). 28338680
- [11]J. Zhou, Y. Yang, Y. Yang, D. S. Kim, A. Yuan, X. Tian, C. Ophus, F. Sun, A. K. Schmid, M. Nathanson, H. Heinz, Q. An, H. Zeng, P. Ercius, J. Miao, Capturing nucleation at 4D atomic resolution. arXiv: 1807.10709 [cond-mat.mtrl-sci] (27 July 2018). · arXiv
- [12]Sosso G. C., Chen J., Cox S. J., Fitzner M., Pedevilla P., Zen A., Michaelides A., Crystal nucleation in liquids: Open questions and future challenges in molecular dynamics simulations. Chem. Rev. 116, 7078– 7116 (2016). 27228560 PMC4919765
- [13]Tanaka H., Bond orientational order in liquids: Towards a unified description of waterlike anomalies, liquid-liquid transition, glass transition, and crystallization. Eur. Phys. J. E 35, 113 (2012). 23104614
- [14]ten Wolde P. R., Frenkel D., Enhancement of protein crystal nucleation by critical density fluctuations. Science 77, 1975– 1978 (1997). 9302288
- [15]Galkin O., Vekilov P. G., Control of protein crystal nucleation around the metastable liquid–liquid phase boundary. Proc. Natl. Acad. Sci. U.S.A. 97, 6277– 6281 (2000). 10823898 PMC18593
- [16]Gebauer D., Volkel A., Cölfen H., Stable prenucleation calcium carbonate clusters. Science 322, 1819– 1822 (2008). 19095936
- [18]Lee S., Wi H. S., Jo W., Cho Y. C., Lee H. H., Jeong S.-Y., Kim Y.-I., Lee G. W., Multiple pathways of crystal nucleation in an extremely supersaturated aqueous potassium dihydrogen phosphate (KDP) solution droplet. Proc. Natl. Acad. Sci. U.S.A. 113, 13618– 13623 (2016). 27791068 PMC5137746
- [19]Ma X., Zhang S., Jiao F., Newcomb C. J., Zhang Y., Prakash A., Liao Z., Baer M. D., Mundy C. J., Pfaendtner J., Noy A., Chen C.-L., De Yoreo J. J., Tuning crystallization pathways through sequence engineering of biomimetic polymers. Nat. Mater. 16, 767– 774 (2017). 28414316
- [20]Hedges L. O., Whitelam S., Limit of validity of Ostwald’s rule of stages in a statistical mechanical model of crystallization. J. Chem. Phys. 135, 164902 (2011). 22047264
- [22]Lutsko J. F., Recent developments in classical density functional theory. Adv. Chem. Phys. 144, 1 (2010).
- [24]Lutsko J. F., Density functional theory of inhomogeneous liquids. III. Liquid-vapor nucleation. J. Chem. Phys. 129, 244501 (2008). 19123511
- [26]Lutsko J. F., A dynamical theory of nucleation for colloids and macromolecules. J. Chem. Phys. 136, 034509 (2012). 22280769
- [27]Durán-Olivencia M. A., Yatsyshin P., Goddard B., Kalliadasis S., General framework for fluctuating dynamic density functional theory. New J. Phys. 19, 123022 (2017).
- [28]Goddard B. D., Nold A., Savva N., Pavliotis G., Kalliadasis S., General dynamical density functional theory for classical fluids. Phys. Rev. Lett. 109, 120603 (2012). 23005931
- [31]Gallo M., Magaletti F., Casciola C. M., Thermally activated vapor bubble nucleation: The Landau-Lifshitz–Van der Waals approach. Phys. Rev. Fluids 3, 053604 (2018).
- [32]Lutsko J. F., Systematically extending classical nucleation theory. New J. Phys. 20, 103015 (2018).
- [35]M. I. Freidlin, A. D. Wentzell, Random Perturbations of Dynamical Systems (Springer, 1998).
- [36]Weinan E., Ren W., Vanden-Eijnden E., Simplified and improved string method for computing the minimum energy paths in barrier-crossing events. J. Chem. Phys. 126, 164103 (2007). 17477585
- [37]Qiu C., Qian T., Nucleation of wetting films on cylindrical and spherical substrates: A numerical study by the string method. J. Chem. Phys. 131, 124708 (2009). 19791913
- [38]Backofen R., Voigt A., A phase-field-crystal approach to critical nuclei. J. Phys. Cond. Matter 22, 364104 (2010). 21386520
- [40]Roth R., Fundamental measure theory for hard-sphere mixtures: A review. J. Phys. Condens. Matter 22, 063102 (2010). 21389360
- [41]Elder K. R., Katakowski M., Haataja M., Grant M., Modeling elasticity in crystal growth. Phys. Rev. Lett. 88, 245701 (2002). 12059316
- [42]Elder K. R., Grant M., Modeling elastic and plastic deformations in nonequilibrium processing using phase field crystals. Phys. Rev. E 70, 051605 (2004). 15600626
- [43]van Teeffelen S., Backofen R., Voigt A., Löwen H., Derivation of the phase-field-crystal model for colloidal solidification. Phys. Rev. E 79, 051404 (2009). 19518453
- [44]Tóth G. I., Pusztai T., Tegze G., Tóth G., Gránásy L., Amorphous nucleation precursor in highly nonequilibrium fluids. Phys. Rev. Lett. 107, 175702 (2011). 22107540
- [45]Tóth G. I., Tegze G., Pusztai T., Tóth G., Gránásy L., Polymorphism, crystal nucleation and growth in the phase-field crystal model in 2D and 3D. J. Phys. Condens. Matter 22, 364101 (2010). 21386517
- [47]Lutsko J. F., Nucleation of colloids and macromolecules in a finite volume. J. Chem. Phys. 137, 154903 (2012). 23083187
- [48]Lutsko J. F., Durán-Olivencia M. A., A two-parameter extension of classical nucleation theory. J. Phys. Condens. Matter 27, 235101 (2015). 25993497
- [49]Merikanto J., Zapadinsky E., Lauri A., Vehkamäki H., Origin of the failure of classical nucleation theory: Incorrect description of the smallest clusters. Phys. Rev. Lett. 98, 145702 (2007). 17501289
- [50]Lutsko J. F., Lam J., Classical density functional theory, unconstrained crystallization, and polymorphic behavior. Phys. Rev. E 98, 012604 (2018). 30110790
- [51]Girshick S. L., Agarwal P., Truhlar D. G., Homogeneous nucleation with magic numbers: Aluminum. J. Chem. Phys. 131, 134305 (2009). 19814551
- [53]Sleutel M., Van Driessche A. E. S., Role of clusters in nonclassical nucleation and growth of protein crystals. Proc. Natl. Acad. Sci. U.S.A. 111, E546– E553 (2014). 24449867 PMC3918807
- [54]Savage J. R., Dinsmore A. D., Experimental evidence for two-step nucleation in colloidal crystallization. Phys. Rev. Lett. 102, 198302 (2009). 19519003
- [56]Barros K., Klein W., Liquid to solid nucleation via onion structure droplets. J. Chem. Phys. 139, 174505 (2013). 24206314
- [58]Langer J. S., Turski L. A., Hydrodynamic model of the condensation of a vapor near its critical point. Phys. Rev. A 8, 3230 (1973).
- [61]Lutsko J. F., A dynamical theory of homogeneous nucleation for colloids and macromolecules. J. Chem. Phys. 135, 161101 (2011). 22047221
- [62]D. J. Wales, J. P. K. Doye, A. Dullweber, M. P. Hodges, F. Y. Naumkin, F. Calvo, J. Hernández-Rojas, T. F. Middleton, The Cambridge Cluster Database.
- [63]Xiang Y., Jiang H., Cai W., Shao X., An efficient method based on lattice construction and the genetic algorithm for optimization of large Lennard-Jones clusters. J. Phys. Chem. A 108, 3586– 3592 (2004). 28413878
Cited by
Sorted by citations
Thermodynamic and Kinetic Studies of Dolomite Formation: A Review
Chen, C., Zhong, H., Wang, X., Ning, M., Wang, X., Ge, Y., Wang, H., Tang, R., & Hou, M. (2023) · Minerals · doi:10.3390/min13121479 · Cited by 43 · see citing works
- Authors
- Lutsko, J. F.
- Affiliations
- Université Libre de Bruxelles (BE)
- Corresponding author
- Lutsko, James F.
- ORCID
- Lutsko, James F.
- Venue
- Science Advances
- Published
- 2019-04-05
- Volume
- 5
- Issue
- 4
- Pages
- eaav7399-eaav7399
- ISSN
- 2375-2548 (ISSN-L)
- PMC
- PMC6450691
- OpenAlex
- W2935294972
- Cited by
- 212
- References
- 1
- Citations by year
- 2026: 25 · 2025: 30 · 2024: 26 · 2023: 27 · 2022: 43 · 2021: 30 · 2020: 24 · 2019: 7
- FWCI
- 10.31
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Science Advances (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion, other-oa)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
- arXiv (Cornell University)
- Funders
- European Space Agency (ESA AO-2004-070)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › nanoparticles nucleation surface interactions
- Physical Sciences › Materials Science › Materials Chemistry › Crystallization and Solubility Studies
- Physical Sciences › Materials Science › Materials Chemistry › Solidification and crystal growth phenomena
- Keywords
- nucleation pathways, crystallization, non-classical nucleation, classical density functional theory, stochastic process theory, rare event sampling, macromolecular solutions, liquid-liquid separation, free energy landscape
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review