@article{9532,
abstract = {Genomic imprinting, an inherently epigenetic phenomenon defined by parent of origin-dependent gene expression, is observed in mammals and flowering plants. Genome-scale surveys of imprinted expression and the underlying differential epigenetic marks have led to the discovery of hundreds of imprinted plant genes and confirmed DNA and histone methylation as key regulators of plant imprinting. However, the biological roles of the vast majority of imprinted plant genes are unknown, and the evolutionary forces shaping plant imprinting remain rather opaque. Here, we review the mechanisms of plant genomic imprinting and discuss theories of imprinting evolution and biological significance in light of recent findings.},
author = {Rodrigues, Jessica A. and ZILBERMAN, Daniel},
issn = {1549-5477},
journal = {Genes and Development},
number = {24},
pages = {2517–2531},
publisher = {Cold Spring Harbor Laboratory Press},
title = {{Evolution and function of genomic imprinting in plants}},
doi = {10.1101/gad.269902.115},
volume = {29},
year = {2015},
}
@article{9575,
abstract = {We give several results showing that different discrete structures typically gain certain spanning substructures (in particular, Hamilton cycles) after a modest random perturbation. First, we prove that adding linearly many random edges to a dense k-uniform hypergraph ensures the (asymptotically almost sure) existence of a perfect matching or a loose Hamilton cycle. The proof involves an interesting application of Szemerédi's Regularity Lemma, which might be independently useful. We next prove that digraphs with certain strong expansion properties are pancyclic, and use this to show that adding a linear number of random edges typically makes a dense digraph pancyclic. Finally, we prove that perturbing a certain (minimum-degree-dependent) number of random edges in a tournament typically ensures the existence of multiple edge-disjoint Hamilton cycles. All our results are tight.},
author = {Krivelevich, Michael and Kwan, Matthew Alan and Sudakov, Benny},
issn = {1571-0653},
journal = {Electronic Notes in Discrete Mathematics},
pages = {181--187},
publisher = {Elsevier},
title = {{Cycles and matchings in randomly perturbed digraphs and hypergraphs}},
doi = {10.1016/j.endm.2015.06.027},
volume = {49},
year = {2015},
}
@article{9673,
abstract = {Current strategies of computational crystal plasticity that focus on individual atoms or dislocations are impractical for real-scale, large-strain problems even with today’s computing power. Dislocation-density based approaches are a way forward but a critical issue to address is a realistic description of the interactions between dislocations. In this paper, a new scheme for computational dynamics of dislocation-density functions is proposed, which takes full consideration of the mutual elastic interactions between dislocations based on the Hirth–Lothe formulation. Other features considered include (i) the continuity nature of the movements of dislocation densities, (ii) forest hardening, (iii) generation according to high spatial gradients in dislocation densities, and (iv) annihilation. Numerical implementation by the finite-volume method, which is well suited for flow problems with high gradients, is discussed. Numerical examples performed for a single-crystal aluminum model show typical strength anisotropy behavior comparable to experimental observations. Furthermore, a detailed case study on small-scale crystal plasticity successfully captures a number of key experimental features, including power-law relation between strength and size, low dislocation storage and jerky deformation.},
author = {Leung, H.S. and Leung, P.S.S. and Cheng, Bingqing and Ngan, A.H.W.},
issn = {0749-6419},
journal = {International Journal of Plasticity},
pages = {1--25},
publisher = {Elsevier},
title = {{A new dislocation-density-function dynamics scheme for computational crystal plasticity by explicit consideration of dislocation elastic interactions}},
doi = {10.1016/j.ijplas.2014.09.009},
volume = {67},
year = {2015},
}
@article{9688,
abstract = {The properties of the interface between solid and melt are key to solidification and melting, as the interfacial free energy introduces a kinetic barrier to phase transitions. This makes solidification happen below the melting temperature, in out-of-equilibrium conditions at which the interfacial free energy is ill defined. Here we draw a connection between the atomistic description of a diffuse solid-liquid interface and its thermodynamic characterization. This framework resolves the ambiguities in defining the solid-liquid interfacial free energy above and below the melting temperature. In addition, we introduce a simulation protocol that allows solid-liquid interfaces to be reversibly created and destroyed at conditions relevant for experiments. We directly evaluate the value of the interfacial free energy away from the melting point for a simple but realistic atomic potential, and find a more complex temperature dependence than the constant positive slope that has been generally assumed based on phenomenological considerations and that has been used to interpret experiments. This methodology could be easily extended to the study of other phase transitions, from condensation to precipitation. Our analysis can help reconcile the textbook picture of classical nucleation theory with the growing body of atomistic studies and mesoscale models of solidification.},
author = {Cheng, Bingqing and Tribello, Gareth A. and Ceriotti, Michele},
issn = {1550-235X},
journal = {Physical Review B - Condensed Matter and Materials Physics},
number = {18},
publisher = {American Physical Society},
title = {{Solid-liquid interfacial free energy out of equilibrium}},
doi = {10.1103/physrevb.92.180102},
volume = {92},
year = {2015},
}
@article{9684,
abstract = {The size dependence of the strength of nano- and micron-sized crystals is studied using a new simulation approach in which the dynamics of the density functions of dislocations are modeled. Since any quantity of dislocations can be represented by a density, this approach can handle large systems containing large quantities of dislocations, which may handicap discrete dislocation dynamics schemes due to the excessive computation time involved. For this reason, pillar sizes spanning a large range, from the sub-micron to micron regimes, can be simulated. The simulation results reveal the power-law relationship between strength and specimen size up to a certain size, beyond which the strength varies much more slowly with size. For specimens smaller than ~4000b, their strength is found to be controlled by the dislocation depletion condition, in which the total dislocation density remains almost constant throughout the loading process. In specimens larger than ~4000b, the initial dislocation distribution is of critical importance since the presence of dislocation entanglements is found to obstruct deformation in the neighboring regions within a distance of ~2000b. This length scale suggests that the effects of dense dislocation clusters are greater in intermediate-sized specimens (e.g. 4000b and 8000b) than in larger specimens (e.g. 16 000b), according to the weakest-link concept.},
author = {Leung, P S S and Leung, H S and Cheng, Bingqing and Ngan, A H W},
issn = {1361-651X},
journal = {Modelling and Simulation in Materials Science and Engineering},
number = {3},
publisher = {IOP Publishing},
title = {{Size dependence of yield strength simulated by a dislocation-density function dynamics approach}},
doi = {10.1088/0965-0393/23/3/035001},
volume = {23},
year = {2015},
}