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Ivan Saika-Voivod
Researcher at Memorial University of Newfoundland
Publications - 78
Citations - 2668
Ivan Saika-Voivod is an academic researcher from Memorial University of Newfoundland. The author has contributed to research in topics: Nucleation & Phase transition. The author has an hindex of 23, co-authored 74 publications receiving 2390 citations. Previous affiliations of Ivan Saika-Voivod include University of Western Ontario & University of Saskatchewan.
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Fragile-to-strong transition and polyamorphism in the energy landscape of liquid silica
TL;DR: The results reveal a change in the energy landscape with decreasing temperature, which underlies a transition from a fragile liquid at high temperature to a strong liquid at low temperature, and it is suggested that a specific heat anomaly is associated with this fragile-to-strong transition.
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Computer simulations of liquid silica: Equation of state and liquid-liquid phase transition
TL;DR: This work conducts extensive molecular dynamics computer simulations of two models for liquid silica, and predicts the occurrence of a liquid-liquid phase transition and confirms its existence by direct observation of phase separating droplets of atoms with distinct local density and coordination environments.
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Density minimum and liquid?liquid phase transition
TL;DR: In this paper, the authors present a high-resolution computer simulation study of the equation of state of ST2 water, evaluating the liquid-state properties at 2718 state points, and precisely locating the liquid liquid critical point (LLCP) occurring in this model.
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Model for Reversible Colloidal Gelation
Emanuela Zaccarelli,Sergey V. Buldyrev,E. La Nave,Angel J. Moreno,Ivan Saika-Voivod,Francesco Sciortino,Piero Tartaglia +6 more
TL;DR: It is shown that, when n(max)<6, the liquid-gas coexistence region shrinks, giving access to regions of low Phi where dynamics can be followed down to low T without an intervening phase separation.
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Evaluating the impact of population bottlenecks in experimental evolution.
TL;DR: The total fraction of beneficial mutations that are lost due to bottlenecks during experimental evolution protocols are estimated and the "optimal" dilution ratio is derived, the ratio that maximizes the number of surviving beneficial mutations.