• Citation: P.S. Dutta, A. Koneru, A. Muhammed, H. Chan, K. Balasubramanian, S. Manna, T. Loeffler, K. Sasikumar, P. Darancet, and S.K.R.S. Sankaranarayanan (2026), "Machine Learning an Ab-Initio Based Bond-Order Potential for Bismuthene", The Journal of Physical Chemistry C 130(12), 4584–4595. DOI: 10.1021/acs.jpcc.5c08318.
    Abstract: Bismuthene is a heavy 2D material whose strong spin-orbit coupling and recently observed single-element ferroelectricity have intensified interest in its structural, vibrational, and transport properties. Accurate modeling of these behaviors requires a short-range interatomic potential that can reproduce the underlying bonding physics at a fraction of the computational cost of first-principles methods. However, such a potential is currently unavailable. In this work, we construct a Tersoff bond-order potential for β-bismuthene using a reinforcement-learning framework that integrates a continuous Monte Carlo Tree Search with a simplex-based local optimizer. The optimized parameter sets reproduce first-principles lattice constants, cohesive energy, the equation of state, elastic constants, and phonon dispersion. We validate the models by performing thermal-conductivity calculations and uniaxial fracture simulations- our findings confirm the reliability of the resulting models across multiple thermomechanical regimes. Comparison of the three best solutions reveals how differences in pairwise interactions, angular terms, and bond-order behavior govern phonon features and mechanical responses. We demonstrate an interpretable and computationally efficient potential for bismuthene and demonstrate a general reinforcement-learning strategy for developing bond-order models in emerging 2D materials.

    Notes: This potential was developed to simulate the 2D phase bismuthene.

  • LAMMPS pair_style tersoff (2026--Dutta-P-S--Bi--LAMMPS--ipr1)
    See Computed Properties
    Notes: This file was provided by Partha Sarathi Dutta on April 2, 2026.
    File(s):
  • Citation: H. Zhou, D.E. Dickel, M.I. Baskes, S. Mun, and M. Asle Zaeem (2021), "A modified embedded-atom method interatomic potential for bismuth", Modelling and Simulation in Materials Science and Engineering 29(6), 065008. DOI: 10.1088/1361-651x/ac095c.
    Abstract: A semi-empirical interatomic potential for the post-transition metal, bismuth, is developed based on the second nearest-neighbor modified embedded-atom method (MEAM). The potential reproduces a range of physical properties, such as the lattice constant, cohesive energy, elastic constants, vacancy formation energy, surface energy, and the melting point of pure bismuth. The calculations are done for the rhombohedral ground state of Bi. The results show good agreement with density functional theory and experimental data. The developed MEAM potential for bismuth is useful for material and mechanical behavior studies of the pure material at different conditions and sets the stage for the development of interatomic potentials for bismuth alloys or other bismuth compounds.

  • LAMMPS pair_style meam (2021--Zhou-H--Bi--LAMMPS--ipr1)
    See Computed Properties
    Notes: These files were provided by Henan Zhou (Mississippi State) on July 13, 2021 and posted with her permission.
    File(s):
  • Citation: R.S. Elliott, and A. Akerson (2015), "Efficient "universal" shifted Lennard-Jones model for all KIM API supported species".

    Notes: This is the Bi interaction from the "Universal" parameterization for the openKIM LennardJones612 model driver.The parameterization uses a shifted cutoff so that all interactions have a continuous energy function at the cutoff radius. This model was automatically fit using Lorentz-Berthelotmixing rules. It reproduces the dimer equilibrium separation (covalent radii) and the bond dissociation energies. It has not been fitted to other physical properties and its ability to model structures other than dimers is unknown. See the README and params files on the KIM model page for more details.

  • See Computed Properties
    Notes: Listing found at https://openkim.org.
    Link(s):
  • Citation: D.K. Belashchenko (2012), "Computer simulation of the properties of liquid metals: Gallium, lead, and bismuth", Russian Journal of Physical Chemistry A 86(5), 779-790. DOI: 10.1134/s0036024412050056.
    Abstract: The embedded atom model (EAM) potentials of liquid gallium, lead, and bismuth calculated by the author using the Schommers algorithm were refined and written in a unified analytic form more convenient for applications. Pair contributions to EAM potentials are described by piecewise continuous functions. The form of EAM potentials admits the transition to a high-density state characteristic of shock compression. Series of models of these liquid metals were constructed by the molecular dynamics method at temperatures up to 1500 (Zn), 3000 (Ga, Pb), and 1800 K (Bi). For all the metals, close agreement with experiment was obtained over the whole temperature range for density, structure, bulk compression modulus, and self-diffusion coefficient. The standard deviations of model pair correlation functions (PCF) from the diffraction PCFs of gallium and lead were on the order of 0.01. As distinct from alkali metals, the calculated energy of gallium and lead models was close to actual energy over the whole temperature range, and excess electronic heat conductivity was almost unobservable. With bismuth, agreement with experiment for energy and structural characteristics was noticeably worse, which shows that the embedded atom model is less applicable to bismuth.

    Notes: This potential is parameterized for the liquid-state specifically.

Date Created: October 5, 2010 | Last updated: April 08, 2026