| 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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Vicent-Luna, José Manuel
Eindhoven University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2024Adsorption Characteristics of Refrigerants for Thermochemical Energy Storage in Metal–Organic Frameworkscitations
- 2024Adapted thermodynamical model for the prediction of adsorption in nanoporous materialscitations
- 2022Transferable Classical Force Field for Pure and Mixed Metal Halide Perovskites Parameterized from First-Principlescitations
- 2021Efficient Computation of Structural and Electronic Properties of Halide Perovskites Using Density Functional Tight Bindingcitations
- 2021Atomistic Insights Into the Degradation of Inorganic Halide Perovskite CsPbI3citations
- 2021Atomistic Insights Into the Degradation of Inorganic Halide Perovskite CsPbI3:A Reactive Force Field Molecular Dynamics Studycitations
- 2021Efficient Computation of Structural and Electronic Properties of Halide Perovskites Using Density Functional Tight Binding:GFN1-xTB Methodcitations
- 2020Further Extending the Dilution Range of the “Solvent-in-DES” Regime upon the Replacement of Water by an Organic Solvent with Hydrogen Bond Capabilitiescitations
- 2020Efficient modelling of ion structure and dynamics in inorganic metal halide perovskitescitations
- 2018Role of Ionic Liquid [EMIM]+[SCN]- in the Adsorption and Diffusion of Gases in Metal-Organic Frameworkscitations
- 2016Liquid self-diffusion of H2O and DMF molecules in Co-MOF-74citations
- 2016Storage and Separation of Carbon Dioxide and Methane in Hydrated Covalent Organic Frameworkscitations
Places of action
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article
Efficient modelling of ion structure and dynamics in inorganic metal halide perovskites
Abstract
Metal halide perovskites (MHPs) are nowadays one of the most studied semiconductors due to their exceptional performance as active layers in solar cells. Although MHPs are excellent solid-state semiconductors, they are also ionic compounds, where ion migration plays a decisive role in their formation, their photovoltaic performance and their long-term stability. Given the above-mentioned complexity, molecular dynamics simulations based on classical force fields are especially suited to study MHP properties, such as lattice dynamics and ion migration. In particular, the possibility to model mixed compositions is important since they are the most relevant to optimize the optical band gap and the stability. With this intention, we employ DFT calculations and a genetic algorithm to develop a fully transferable classical force field valid for the benchmark inorganic perovskite compositional set CsPb(BrxI1-x)3 (x = 0, 1/3, 2/3, 1). The resulting force field reproduces correctly, with a common set of parameters valid for all compositions, the experimental lattice parameter as a function of bromide/iodide ratio, the ion-ion distances and the XRD spectra of the pure and mixed structures. The simulated elastic constants, thermal conductivities and ion migration activation energies of the pure compounds are also in good agreement with experimental trends. Our molecular dynamics simulations make it possible to predict the compositional dependence of the ionic diffusion coefficient on bromide/iodide ratio and vacancy concentration. Interestingly, compared to the pure compounds, we found a significantly lower activation energy for vacancy migration and faster diffusion for the mixed perovskites. This anomalous effect helps to understand the photoinduced phase segregation observed in the mixed perovskite. The method presented here represents a first step towards the generation of fully generic classical force fields of pure and mixed photovoltaic perovskites using genetic algorithms that optimize the required parameters for a ...