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Duncan Burns

Publications and source records attributed to Duncan Burns.

4 recordsLinked to original sources

Crystallizing Substrates Drag Supported Nanoparticles

When a solid support undergoes crystallization, the advancing amorphous-to-crystalline transformation front separates regions of distinct surface energy, creating a moving interfacial energy boundary. A supported nanoparticle straddling such a boundary experiences an asymmetric particle-substrate interfacial energy environment that constitutes a lateral thermodynamic driving force for migration. Here, using in situ transmission electron microscopy to track Pt nanoparticle motion statistically, paired with time-resolved diffraction and 4D-STEM analysis to characterize support crystallization, we demonstrate that propagating crystallization fronts in amorphous AlO$_x$ thin films actively drag supported Pt nanoparticles over long distances. Temporal correlation between the onsets of support crystallization and rapid particle migration, together with 4D-STEM virtual crystallinity maps, establishes that the front drives particle motion. Phase-field simulations confirm that particle-substrate interfacial energy contrast alone sustains particle drag, and identify curvature gradients along the particle surface as the mechanism by which the advancing front redistributes mass and displaces the particle. These results establish a general mechanism by which any propagating surface-energy boundary on a substrate can act as a deterministic driver of supported nanoparticle transport.

cond-mat.mtrl-sci

Interfacial Energy Gradients Drive Coalescence of Supported Nanoparticles

Understanding and controlling nanoparticle coalescence is crucial for applications ranging from catalysis to nanodevice fabrication, yet the behavior of nanoparticles on dynamically evolving, heterogeneous substrates remains poorly understood. Here, we employ in situ transmission electron microscopy to investigate platinum (Pt) nanoparticle dynamics on silicon nitride (SiN$_x$) substrates where localized crystalline silicon (Si) nanodomains are deliberately formed via electron beam irradiation at $800^\circ$C. We observe that Pt nanoparticles in contact with these Si pads transform into a more mobile platinum silicide (Pt$_3$Si) phase. Strikingly, these Pt$_3$Si nanoparticles exhibit pronounced directional migration away from the Si pads, driven by interfacial energy gradients, rather than undergoing stochastic Brownian motion. This directed movement fundamentally dictates coalescence pathways, leading to either enhanced sintering when particles are channeled together or inhibited coalescence when Si pads act as repulsive barriers. Our findings reveal that local substrate chemistry and the resulting interfacial energy landscapes can dominate over initial particle size or proximity in controlling solid-state nanoparticle migration and assembly. This work provides insights into how substrate heterogeneity can be used to direct nanoparticle behavior, challenging conventional coalescence models and offering pathways for the rational design of supported nanomaterials.

cond-mat.mtrl-sci

Deformation assisted precipitation in binary alloys: A competition of time-scales

We consider the process of precipitation in binary alloys in the presence of mechanical deformation. It is commonly observed that mechanical deformation prior to or during precipitation leads to microstructure with excess defects, which allows for enhanced precipitate nucleation and growth rates \cite{Weiss1979,Okaguchi1992,Deschamps2003}. To investigate this phenomenon, we employ a two-dimensional phase-field crystal alloy model endowed with a temperature dependent mobility, making it capable of recovering isothermal transformation (TTT) diagrams with a characteristic inflection point (nose) about a critical temperature. We examine the variation in the time-scale of precipitation and its connection to the time-scale of the applied deformation, focusing on the roles of atomic defects in the processes involved. Our results indicate that precipitation is initially delayed through application of a deformation until a critical strain is achieved, beyond which precipitation proceeds more rapidly, assisted by plastic deformation such as grain boundary serration or dislocation nucleation. We show that the evolution of the precipitated fraction, $f(t)$, departs from classical Avrami behaviour. Specifically, $df/dt$ develops two peaks indicative of a ``plateau"-like inflection in $f(t)$, signalling the transition to defect assisted precipitate nucleation. We analyze these plateaus as a function of the deformation rate and demonstrate that the they exhibit a discontinuous bifurcation as the time-scale of applied deformation is increased. These findings are compared to and found to be consistent with experiments.

cond-mat.mtrl-sci

Generalizing the structural phase field crystal approach for modeling solid-liquid-vapor phase transformations in pure materials

In a recent class of phase field crystal (PFC) models, the density order parameter is coupled to powers of its mean field. This effectively introduces a phenomenology of higher-order direct correlation functions acting on long wavelengths, which is required for modelling solid-liquid-vapor systems. The present work generalizes these models by incorporating, into a single-field theory, higher-order direct correlations, systematically constructed in reciprocal space to operate across long {\it and} short wavelengths. The correlation kernels introduced are also readily adaptable to describe distinct crystal structures. We examine the three-phase equilibrium properties and phase diagrams of the proposed model, and reproduce parts of the aluminum phase diagram as an example of its versatile parametrization. We assess the dynamics of the model, showing that it allows robust control of the interface energy between the vapor and condensed phases (liquid and solid). We also examine the dynamics of solid-vapor interfaces over a wide range of parameters and find that dynamical artifacts reported in previous PFC models do not occur in the present formalism. Additionally, we demonstrate the capacity of the proposed formalism for computing complex microstructures and defects such as dislocations, grain boundaries, and voids in solid-liquid-vapor systems, all of which are expected to be crucial for investigating rapid solidification processes.

cond-mat.mtrl-sci