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Context: Understanding the microscopic mechanisms underlying the detonation behavior of energetic materials is crucial for the development of safer and more efficient explosives. In this work, we employ first-principles calculations to optimize the molecular geometries of eight energetic compounds and analyze their phonon characteristics, including the number of molecular vibration modes in the doorway region (j) and the frequency gap (∆w). A new parameter, the phonon energy transfer rate, is defined and found to exhibit a strong linear correlation with detonation velocity (R = 0.95). The proposed model is further validated using an additional set of seven energetic materials, including one newly synthesized compound, showing excellent agreement with experimental results. These results suggest that the phonon energy transfer rate plays a critical role in the detonation process. Unlike conventional approaches that rely on macroscopic parameters, this study introduces a microscopic method for predicting detonation velocity based on phonon behavior.
Methods: All calculations are performed using the CASTEP code based on density functional theory (DFT), employing the Perdew-Burke-Ernzerhof (PBE) functional within the generalized gradient approximation (GGA) and Grimme's DFT-D dispersion correction. Norm-conserving pseudopotentials are used.
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http://dx.doi.org/10.1007/s00894-025-06489-3 | DOI Listing |
Phys Chem Chem Phys
September 2025
Masaryk University, Faculty of Science, Department of Chemistry, Kotlářská 2, Brno, 611 37, Czech Republic.
Structural and magnetic properties of ultra-small tetrahedron-shaped iron oxide nanoparticles were investigated using density functional theory. Tetrahedral and truncated tetrahedral models were considered in both non-functionalized form and with surfaces passivated by pseudo-hydrogen atoms. The focus on these two morphologies reflects their experimental relevance at this size scale and the feasibility of performing fully relaxed, atomistically resolved first-principles simulations.
View Article and Find Full Text PDFAcc Chem Res
September 2025
Division of Materials and Manufacturing Science, Graduate School of Engineering, The University of Osaka, 2-1 Yamada-oka, Suita, Osaka 565-0871, Japan.
ConspectusHydrogen spillover, the simultaneous diffusion of protons and electrons, has recently emerged as a key phenomenon in the functionalization of hydrogen in cutting-edge research fields. Its occurrence has been found to significantly impact hydrogen-related fields of science, such as catalysis, reduction, and hydrogen storage. Since the discovery of hydrogen spillover more than half a century ago, although many scientists have reported its unique properties and have attempted to utilize them, no practical advanced applications have been established yet.
View Article and Find Full Text PDFOrg Lett
September 2025
N. D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Leninsky Prospect 47, Moscow 119991, Russian Federation.
The design and synthesis of advanced energetic non-hydrogen 1,2,5-oxadiazole assemblies were realized. All target azo-1,2,5-oxadiazole assemblies have high densities (1.89-1.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
Department of Chemistry, Northwestern University Evanston, Illinois 60208, United States.
Per- and polyfluoroalkyl substances (PFASs) are environmentally persistent, bioaccumulative, and toxic chemicals that contaminate global drinking water resources. Their ubiquity and potential impact on human health motivate large-scale remediation. Conventional materials used to remove PFASs during drinking water production are functionally inefficient or energetically expensive, motivating the discovery of new materials and technologies.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Institute of Materials Chemistry, Vienna University of Technology, Vienna, Austria.
Accurately modeling volume-dependent properties of water remains a challenge for density functional theory (DFT), with widely used functionals failing to reproduce key features of the water density isobar, including its shape, density, and temperature of the density maximum. Here, we compare the performance of the RPBE-D3 and vdW-DF-cx functionals using replica exchange molecular dynamics (MD) driven by machine-learned force fields. Our simulations reveal that vdW-DF-cx predicts the water density more accurately than RPBE-D3 and reproduces the isobar closely between 307 and 340 K.
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