Atomistic modeling of meso-timescale processes with SEAKMC: A perspective and recent developments

S Hayakawa, J Isaacs, HR Medal, H Xu - Computational Materials Science, 2021 - Elsevier
On-the-fly kinetic Monte Carlo (kMC) methods have recently garnered significant attentions
after successful applications to various atomic-scale problems using a timescale outside the …

Finding reaction pathways and transition states: r-ARTn and d-ARTn as an efficient and versatile alternative to string approaches

A Jay, C Huet, N Salles, M Gunde… - Journal of Chemical …, 2020 - ACS Publications
Finding transition states and diffusion pathways is essential to understand the evolution of
materials and chemical reactions. Such characterization is hampered by the heavy …

Machine learning surrogate models for strain-dependent vibrational properties and migration rates of point defects

C Lapointe, TD Swinburne, L Proville, CS Becquart… - Physical Review …, 2022 - APS
Machine learning surrogate models employing atomic environment descriptors have found
wide applicability in materials science. In our previous work, this approach yielded accurate …

Activation–Relaxation Technique: An efficient way to find minima and saddle points of potential energy surfaces

A Jay, M Gunde, N Salles, M Poberžnik… - Computational Materials …, 2022 - Elsevier
Abstract The Activation–Relaxation Technique (ARTn) is an efficient technique for finding
the minima and saddle points of multidimensional functions such as the potential energy …

Off-lattice kinetic Monte Carlo methods

M Trochet, N Mousseau, LK Béland… - Handbook of materials …, 2020 - Springer
Exact modeling of the dynamics of chemical and material systems over experimentally
relevant time scales still eludes us even with modern computational resources. Fortunately …

Modified Activation-Relaxation Technique (ARTn) Method Tuned for Efficient Identification of Transition States in Surface Reactions

J Jung, H An, J Lee, S Han - Journal of Chemical Theory and …, 2024 - ACS Publications
Exploring potential energy surfaces (PES) is essential for unraveling the underlying
mechanisms of chemical reactions and material properties. While the activation-relaxation …

Carbon diffusion paths and segregation at high-angle tilt grain boundaries in α-Fe studied by using a kinetic activation-relation technique

OA Restrepo, N Mousseau, M Trochet, F El-Mellouhi… - Physical Review B, 2018 - APS
Carbon diffusion and segregation in iron is fundamental to steel production but is also
associated with corrosion. Using the kinetic activation-relaxation technique (k-ART), a kinetic …

A DFT Study on the Catalytic CO Oxidative Coupling to Dimethyl Oxalate on Al-Doped Core–Shell Pd Clusters

X Feng, L Ling, Y Cao, R Zhang, M Fan… - The Journal of Physical …, 2018 - ACS Publications
A series of core–shell catalysts aiming at CO oxidative coupling to dimethyl oxalate (DMO)
were constructed, and effects of the second metal doping and surface structures on the …

Pressure effect on diffusion of carbon at the symmetric tilt grain boundary of -iron

MM Rahman, F El-Mellouhi, O Bouhali… - Physical Review …, 2021 - APS
The diffusion mechanism of carbon in iron plays a vital role in carburization processes, steel
fabrication, and metal dusting corrosion. In this paper, using the kinetic activation-relaxation …

Migration of carbon atoms in irradiated and non-irradiated alpha-iron studied by magnetic after-effect

M Prester, D Drobac, Ž Marohnić, M Roldán… - Journal of Applied …, 2022 - pubs.aip.org
Magnetic After-Effect (MAE) and magnetic AC susceptibility studies have been performed on
high-purity non-irradiated and Fe-ion irradiated, α-Fe foil samples in the high-temperature …