Ostwald ripening
E1026604
Ostwald ripening is a process in materials science where larger particles grow at the expense of smaller ones due to differences in solubility or chemical potential, leading to coarsening of the system over time.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ostwald ripening canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13200171 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostwald ripening Context triple: [Wilhelm Ostwald, notableWork, Ostwald ripening]
-
A.
Mullins–Sekerka instability
The Mullins–Sekerka instability is a morphological instability that occurs during diffusion-limited solidification or crystal growth, leading to pattern formation such as dendrites at moving phase boundaries.
-
B.
Becker–Döring theory of nucleation
The Becker–Döring theory of nucleation is a classical kinetic model in statistical physics that describes how clusters of particles grow or shrink through the successive addition or loss of single monomers, providing a fundamental framework for understanding phase transitions and nucleation rates.
-
C.
Smoluchowski coagulation equation
The Smoluchowski coagulation equation is a fundamental integro-differential equation in statistical physics that models how particles undergoing random collisions aggregate over time into larger clusters.
-
D.
Cahn–Hilliard equation
The Cahn–Hilliard equation is a nonlinear partial differential equation that models phase separation and coarsening in binary mixtures and other systems undergoing spinodal decomposition.
-
E.
Néel relaxation
Néel relaxation is a magnetic relaxation process in which the magnetization of single-domain nanoparticles flips between energy minima due to thermal fluctuations without physical rotation of the particles.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ostwald ripening Target entity description: Ostwald ripening is a process in materials science where larger particles grow at the expense of smaller ones due to differences in solubility or chemical potential, leading to coarsening of the system over time.
-
A.
Mullins–Sekerka instability
The Mullins–Sekerka instability is a morphological instability that occurs during diffusion-limited solidification or crystal growth, leading to pattern formation such as dendrites at moving phase boundaries.
-
B.
Becker–Döring theory of nucleation
The Becker–Döring theory of nucleation is a classical kinetic model in statistical physics that describes how clusters of particles grow or shrink through the successive addition or loss of single monomers, providing a fundamental framework for understanding phase transitions and nucleation rates.
-
C.
Smoluchowski coagulation equation
The Smoluchowski coagulation equation is a fundamental integro-differential equation in statistical physics that models how particles undergoing random collisions aggregate over time into larger clusters.
-
D.
Cahn–Hilliard equation
The Cahn–Hilliard equation is a nonlinear partial differential equation that models phase separation and coarsening in binary mixtures and other systems undergoing spinodal decomposition.
-
E.
Néel relaxation
Néel relaxation is a magnetic relaxation process in which the magnetization of single-domain nanoparticles flips between energy minima due to thermal fluctuations without physical rotation of the particles.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
materials science phenomenon
ⓘ
phase transformation mechanism ⓘ physical process ⓘ |
| basedOn | Gibbs–Thomson effect NERFINISHED ⓘ |
| canBeReducedBy |
adding ripening inhibitors
ⓘ
lowering temperature ⓘ reducing solubility of dispersed phase ⓘ |
| characterizedBy |
decrease in particle number density
ⓘ
dissolution of smaller particles ⓘ growth of larger particles ⓘ increase in average particle size ⓘ |
| dependsOn |
interfacial energy
ⓘ
particle size distribution ⓘ solute diffusivity ⓘ temperature ⓘ volume fraction of dispersed phase ⓘ |
| describedBy | r^3 ∝ t growth law under diffusion control ⓘ |
| drivenBy |
curvature-dependent solubility
ⓘ
differences in chemical potential ⓘ differences in solubility ⓘ surface energy minimization ⓘ |
| field |
colloid science
ⓘ
materials science ⓘ physical chemistry ⓘ |
| governedBy |
diffusion-controlled kinetics
ⓘ
interface-controlled kinetics ⓘ |
| hasAlternativeName |
Lifshitz–Slyozov–Wagner coarsening
NERFINISHED
ⓘ
coarsening ⓘ |
| influencedBy |
elastic strain energy
ⓘ
particle-matrix coherency ⓘ presence of surfactants ⓘ solute supersaturation ⓘ |
| modeledBy | Lifshitz–Slyozov–Wagner theory NERFINISHED ⓘ |
| namedAfter | Wilhelm Ostwald NERFINISHED ⓘ |
| occursDuring |
age hardening of alloys
ⓘ
emulsion destabilization ⓘ growth of quantum dots ⓘ precipitation in superalloys ⓘ sintering of ceramics ⓘ |
| occursIn |
aerosols
ⓘ
emulsions ⓘ foams ⓘ liquid solutions ⓘ multiphase systems ⓘ nanoparticle dispersions ⓘ solid solutions ⓘ |
| resultsIn |
change in catalytic activity
ⓘ
change in mechanical properties ⓘ change in optical properties ⓘ loss of fine dispersion ⓘ microstructural coarsening ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Ostwald ripening Description of subject: Ostwald ripening is a process in materials science where larger particles grow at the expense of smaller ones due to differences in solubility or chemical potential, leading to coarsening of the system over time.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.