| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Djurabekova, Flyura Gatifovna
University of Helsinki
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (37/37 displayed)
- 2024Solubility of Hydrogen in a WMoTaNbV High-Entropy Alloycitations
- 2024Unveiling the radiation-induced defect production and damage evolution in tungsten using multi-energy Rutherford backscattering spectroscopy in channeling configurationcitations
- 2023Roadmap for focused ion beam technologiescitations
- 2022Biased self-diffusion on Cu surface due to electric field gradientscitations
- 2022Microscopy Investigation on Different Materials After Pulsed High Field Conditioning and Low Energy H-Irradiation
- 2022Simple machine-learned interatomic potentials for complex alloyscitations
- 2021Temperature effect on irradiation damage in equiatomic multi-component alloyscitations
- 2021Origin of increased helium density inside bubbles in Ni(1-x)Fex alloyscitations
- 2021Modeling refractory high-entropy alloys with efficient machine-learned interatomic potentialscitations
- 2021Machine-learning interatomic potential for W-Mo alloyscitations
- 2020Segregation of Ni at early stages of radiation damage in NiCoFeCr solid solution alloyscitations
- 2020Insights into the primary radiation damage of silicon by a machine learning interatomic potentialcitations
- 2020Application of artificial neural networks for rigid lattice kinetic Monte Carlo studies of Cu surface diffusioncitations
- 2020Tungsten migration energy barriers for surface diffusioncitations
- 2019Ab initio calculation of field emission from metal surfaces with atomic-scale defectscitations
- 2019Atomic-level heterogeneity and defect dynamics in concentrated solid-solution alloyscitations
- 2019Structural properties of protective diamond-like-carbon thin films grown on multilayer graphenecitations
- 2019Radiation stability of nanocrystalline single-phase multicomponent alloyscitations
- 2018Absence of single critical dose for the amorphization of quartz under ion irradiationcitations
- 2018Simulations of surface stress effects in nanoscale single crystalscitations
- 2018Migration barriers for surface diffusion on a rigid latticecitations
- 2018Au nanowire junction breakup through surface atom diffusioncitations
- 2017Probing electron beam effects with chemoresistive nanosensors during in situ environmental transmission electron microscopycitations
- 2017Local segregation versus irradiation effects in high-entropy alloyscitations
- 2017Thermal Oxidation of Size-Selected Pd Nanoparticles Supported on CuO Nanowirescitations
- 2016Atomistic modeling of metal surfaces under high electric fieldscitations
- 2016Ru/Al Multilayers Integrate Maximum Energy Density and Ductility for Reactive Materialscitations
- 2016Dependence of short and intermediate-range order on preparation in experimental and modeled pure a-Sicitations
- 2016Long-term stability of Cu surface nanotipscitations
- 2015The as-deposited structure of co-sputtered Cu-Ta alloys, studied by X-ray diffraction and molecular dynamics simulationscitations
- 2015Surface segregation in chromium-doped NiCr alloy nanoparticles and its effect on their magnetic behaviorcitations
- 2015Ion-solid interactions at the extremes of electronic energy losscitations
- 2015Modification of Pt/Co/Pt film properties by ion irradiationcitations
- 2014Effect of ion irradiation on structural properties of Cu64Zr36 metallic glasscitations
- 2013Radiation effects in nuclear materialscitations
- 2009Amorphization of Ge nanocrystals embedded in amorphous silica under ion irradiationcitations
- 2008Atomistic simulation of the interface structure of Si nanocrystals embedded in amorphous silicacitations
Places of action
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article
Biased self-diffusion on Cu surface due to electric field gradients
Abstract
Under strong electric fields, an arc of strong current flowing through plasma can link two metal surfaces even in ultra high vacuum. Despite decades of research, the chain of events leading to vacuum arc breakdowns is hitherto unknown. Previously we showed that a tall and sharp Cu nanotip exposed to strong electric fields heats up by field emission currents and eventually melts, evaporating neutral atoms that can contribute to plasma buildup. In this work, we investigate by means of molecular dynamics (MD) simulations whether surface diffusion biased by the presence of an electric field gradient can provide sufficient mass transport of atoms toward the top of the nanotip to maintain supply of neutrals for feeding plasma. To reach the necessary timescales and to add electric field in MD, we utilized a novel combination of collective variable-driven hyperdynamics acceleration and coupling to a finite element mesh. In our simulations, we observed biased self-diffusion on Cu surfaces, that can contribute to the continuous replenishment of particle-emitting nanotips. This mechanism implies a need to reduce the rate of surface diffusion in devices that are susceptible to vacuum arcs. Finding suitable alloys or surface treatments that hinder the observed biased diffusion could guide the design of future devices, and greatly improve their efficiency.