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Related papers: High-precision molecular dynamics simulation of UO…

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Our series of articles is devoted to high-precision molecular dynamics simulation of mixed actinide-oxide (MOX) fuel in the rigid ions approximation using high-performance graphics processors (GPU). In this article we assess the 10 most…

Materials Science · Physics 2011-07-06 S. I. Potashnikov , A. S. Boyarchenkov , K. A. Nekrasov , A. Ya. Kupryazhkin

Our series of articles is devoted to high-precision molecular dynamics simulation of mixed actinide-oxide (MOX) fuel in the approximation of rigid ions and pair interactions (RIPI) using high-performance graphics processors (GPU). In this…

Materials Science · Physics 2015-03-13 S. I. Potashnikov , A. S. Boyarchenkov , K. A. Nekrasov , A. Ya. Kupryazhkin

We extend our recently developed interatomic potentials for UO_{2} to the mixed oxide fuel system (U,Pu,Np)O_{2}. We do so by fitting against an extensive database of ab initio results as well as to experimental measurements. The…

Materials Science · Physics 2012-03-05 Pratyush Tiwary , Axel van de Walle , Byoungseon Jeon , Niels Grønbech-Jensen

Melting of uranium dioxide (UO2) nanocrystals has been studied by molecular dynamics (MD) simulation. Ten recent and widely used sets of pair potentials were assessed in the rigid ion approximation. Both isolated (in vacuum) and periodic…

Materials Science · Physics 2012-06-22 A. S. Boyarchenkov , S. I. Potashnikov , K. A. Nekrasov , A. Ya. Kupryazhkin

Uranium dioxide (UO2) is a prototypical nuclear fuel material, yet predicting its thermophysical properties across a wide temperature range remains challenging. One factor contributing to this difficulty is the complex magnetic ordering at…

Materials Science · Physics 2026-03-10 Keita Kobayashi , Hiroki Nakamura , Mitsuhiro Itakura

Universal machine-learned interatomic potentials (uMLIPs) offer a promising approach to performing atomistic simulations at near-DFT accuracy with greatly reduced computational cost. Here, we present a new high-temperature benchmarking…

Materials Science · Physics 2026-04-29 Connor W. Edwards , Jack D. Evans

Interatomic potentials of uranium dioxide are investigated on their applicability to model structural stabilities beyond fluorite phase by comparing with ab-initio results. A high pressure cotunnite phase and loosely stacking virtual…

Materials Science · Physics 2010-08-31 H. Y. Geng , Y. Chen , Y. Kaneta , M. Kinoshita

Metal-organic framework (MOF) derived materials formed through high temperature processes show great potential as catalysts. However, understanding of structure-property relationships between the initial MOF and the resulting MOF-derived…

Materials Science · Physics 2026-01-26 Connor W. Edwards , Oliver M. Linder-Patton , Jack D. Evans

We assess the accuracy of six universal machine-learned interatomic potentials (MLIPs) for predicting the temperature and pressure response of materials by molecular dynamics simulations. Accuracy is evaluated across 13 diverse materials…

Materials Science · Physics 2025-12-01 Konstantin Stracke , Connor W. Edwards , Jack D. Evans

Macroscopic simulations of dense plasmas rely on detailed microscopic information that can be computationally expensive and is difficult to verify experimentally. In this work, we delineate the accuracy boundary between microscale…

Lattice dynamics and molecular dynamics studies of the oxides UO2 and Li2O in their normal as well as superionic phase are reported. Lattice dynamics calculations have been carried out using a shell model in the quasiharmonic approximation.…

Materials Science · Physics 2011-11-10 Prabhatasree Goel , N. Choudhury , S. L. Chaplot

Dopants can tune the performance of MoS2 in various applications, but use of molecular dynamics simulations for doped MoS2 materials discovery is limited by the lack of multi-dopant interatomic potentials. Universal machine learning…

Materials Science · Physics 2026-03-02 Abrar Faiyad , Ashlie Martini

The paper presents a model for liquid uranium dioxide, obtained by improving a simplified ionic model, previously adopted to describe the equation of state of this substance [1]. A "chemical picture" is used for liquid UO2 of stoichiometric…

Uranium dioxide has been widely used as a nuclear fuel in commercial light water reactors due to its high uranium density and chemical stability. However, its relatively low thermal conductivity is not optimal from the viewpoints of fuel…

Materials Science · Physics 2026-02-03 Yifan Sun , Hironobu Nakamura , Masaya Kumagai , Yuji Ohishi , Ken Kurosaki

We investigate the melting behavior of calcium oxide (CaO) under extreme conditions, a problem that remains poorly constrained due to experimental limitations despite its relevance for geophysical and technological applications. We develop…

Materials Science · Physics 2026-05-15 Francesca Menescardi , Stefano de Gironcoli

UO2 and (U,Pu)O2 solid solutions (the so-called MOX) nowadays are used as commercial nuclear fuels in many countries. One of the safety issues during the storage of these fuels is related to their self-irradiation that produces and…

Materials Science · Physics 2015-05-18 D. Gryaznov , S. Rashkeev , E. A. Kotomin , E. Heifets , Y. Zhukovskii

In this article we investigated surface of nanocrystals (NC) of uranium dioxide (UO2) using molecular dynamics (MD) under isolated (non-periodic) boundary conditions with the approximation of pair potentials and rigid ions. It is shown that…

Materials Science · Physics 2011-12-08 A. S. Boyarchenkov , S. I. Potashnikov , K. A. Nekrasov , A. Ya. Kupryazhkin

A recent experimental study on a spent uranium dioxide (UO2) fuel sample from Belgium Reactor 3 (BR3) identified a unique pair structure formed by the noble metal phase (NMP) and fission gas (xenon [Xe]) precipitate. However, the…

Materials Science · Physics 2025-02-06 Linu Malakkal , Shuxiang Zhou , Himani Mishra , Jia Hong Ke , Chao Jiang , Lingfeng He , Sudipta Biswas

The Bredig transition to the superionic phase indicated with the lambda-peak in Cp was highly expected for PuO2 as other actinide dioxides. However, least-square fit and local smoothing techniques applied to the experimental enthalpy data…

Materials Science · Physics 2016-12-28 S. D. Günay , B. Akgenç , Ç. Taşseven

A Spectral Neighbor Analysis (SNAP) machine learning interatomic potential (MLIP) has been developed for simulations of carbon at extreme pressures (up to 5 TPa) and temperatures (up to 20,000 K). This was achieved using a large database of…

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