Frontiers in Physics· 2026Q2
Stochastic dynamics simulation of the focused electron beam induced deposition process
- 2citations
- Q2SCImago
- 2026year
Short summary
A new multiscale computational method uses stochastic dynamics to model focused electron beam induced deposition (FEBID), capturing precursor adsorption, diffusion, dissociation, and desorption at molecular resolution under realistic conditions.
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Key points
- Developed a general multiscale computational methodology for FEBID using stochastic dynamics.
- The method probabilistically models precursor adsorption, diffusion, dissociation, and desorption.
- Simulations retain molecular-level resolution under experimentally realistic spatial and temporal conditions.
- Exemplary simulation of W(CO)6 on SiO2-H reproduces experimental trends and reveals microscopic mechanisms.
AI-generated from the title and abstract; the full text is not read.
Abstract
This work presents a novel and general multiscale computational methodology for modeling the focused electron beam–induced deposition (FEBID) process. The approach is based on stochastic dynamics implemented using the MBN Explorer and MBN Studio software packages and provides a probabilistic description of the complex sequence of physical and chemical processes that govern FEBID, including precursor adsorption, diffusion, dissociation, and desorption. The developed framework enables simulations under experimentally realistic spatial and temporal conditions while retaining molecular-level resolution. An exemplary set of model parameters has been derived from atomistic simulations to demonstrate the methodology’s capabilities; however, the primary goal of this work is not parameter optimization, but rather the establishment of a general and transferable modeling framework applicable to a broad range of precursors, substrates, and irradiation conditions. As a representative case, the FEBID of W(CO) 6 precursors on a hydroxylated SiO 2 –H substrate is investigated, showing how the method reproduces key experimental trends and reveals the microscopic mechanisms of deposit formation. The developed multiscale approach provides a robust foundation for predictive simulations of irradiation-driven fabrication processes and their applications in 3D nanoprinting and nanoscale materials engineering.
The authors' abstract, as published at the source. Frontiers in Physics, 2026 · DOI ↗
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Field: Surfaces, Coatings and Films
Surfaces, Coatings and FilmsMaterials Science