The bimetallic alloys often outperform their single-component counterparts due to synergistic effects. Being widely known, the Au-Pd alloy is a promising candidate for the novel heterogeneous nanocatalysts. Rational design of such systems requires theoretical simulations under ambient conditions.quantum-mechanical calculations employ the density functional theory (DFT) and are limited to the systems with few tens of atoms and short timescales. The alternative solution implies development of reliable atomistic potentials. Among different approaches ReaxFF combines chemical accuracy and low computational costs. However, the development of a new potential is a problem without unique solution and thus requires accurate validation criteria. In this work we construct ReaxFF potential for the Au-Pd system based onDFT calculations for bulk structures, slabs and nanoparticles with different stoichiometry. The validation was performed with molecular dynamics and Monte-Carlo calculations. We present several optimal parametrizations that describe experimental bulk mechanical and thermal properties, atomic order-disorder phase transition temperatures and the resulting ordered crystal structures.
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http://dx.doi.org/10.1088/1361-648X/aca250 | DOI Listing |
J Mol Model
January 2025
Shanxi Jiangyang Chemical Limited Company, Taiyuan, 030041, Shanxi, China.
Context: DNAN/DNB cocrystals, as a newly developed type of energetic material, possess superior safety and thermal stability, making them a suitable alternative to traditional melt-cast explosives. Nonetheless, an exploration of the thermal degradation dynamics of the said cocrystal composite has heretofore remained uncharted. Consequently, we engaged the ReaxFF/lg force field modality to delve into the thermal dissociation processes of the DNAN/DNB cocrystal assembly across a spectrum of temperatures, encompassing 2500, 2750, 3000, 3250, and 3500 K.
View Article and Find Full Text PDFJ Phys Condens Matter
January 2025
Departamento de Física, Universidade Federal de Santa Maria, 97105-900 Santa Maria, Brazil.
The study of emerging contaminants (ECs) in water resources has garnered significant attention due to their potential risks to human health and the environment. This review examines the contribution from computational approaches, focusing on the application of machine learning (ML) and molecular dynamics (MD) simulations to understand and optimize experimental applications of ECs adsorption on carbon-based nanomaterials. Condensed matter physics plays a crucial role in this research by investigating the fundamental properties of materials at the atomic and molecular levels, enabling the design and engineering of materials optimized for contaminant removal.
View Article and Find Full Text PDFInt J Mol Sci
November 2024
School of Engineering and Design, Atlantic Technological University, Ash Lane, F91 YW50 Sligo, Ireland.
Water shortages and pharmaceutical pollution are two interconnected crises that pose severe threats to global health, environmental sustainability, and economic stability. Pharmaceutical pollution is widespread and has reached potentially toxic levels in over 258 rivers in 104 countries. So far, more interest has been paid towards efficient water treatment processes in recent years.
View Article and Find Full Text PDFCarbohydr Polym
January 2025
School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
J Phys Chem B
November 2024
Department of Materials, Loughborough University, Loughborough LE11 3TU, U.K.
Due to the importance of the understanding of dissolution behavior of phosphate-based bioglasses (PBGs) in different biomedical applications, binary sodium and calcium phosphate glasses have been simulated for the first time using a newly developed ReaxFF force field and a standard melt-quench method with the LAMMPS classical molecular dynamics software. The partial radial distribution function of P-O within the first coordination shell indicated two distinct peaks corresponding to phosphorus bonding to NBO and BO, respectively, at distances consistent with those observed experimentally and a P-O coordination number of 4.0.
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