All Outputs (12)

Four-Body Nonadditive Potential Energy Surface and the Fourth Virial Coefficient of Helium (2023)
Journal Article
Wheatley, R. J., Garberoglio, G., & Harvey, A. H. (2023). Four-Body Nonadditive Potential Energy Surface and the Fourth Virial Coefficient of Helium. Journal of Chemical and Engineering Data, 68(12), 3257-3264. https://doi.org/10.1021/acs.jced.3c00578

The four-body nonadditive contribution to the energy of four helium atoms is calculated and fitted for all geometries for which the internuclear distances exceed a small minimum value. The interpolation uses an active learning approach based on Gauss... Read More about Four-Body Nonadditive Potential Energy Surface and the Fourth Virial Coefficient of Helium.

Parallel Implementation of Nonadditive Gaussian Process Potentials for Monte Carlo Simulations (2023)
Journal Article
Broad, J., Wheatley, R. J., & Graham, R. S. (2023). Parallel Implementation of Nonadditive Gaussian Process Potentials for Monte Carlo Simulations. Journal of Chemical Theory and Computation, 19(13), 4322-4333. https://doi.org/10.1021/acs.jctc.3c00113

A strategy is presented to implement Gaussian process potentials in molecular simulations through parallel programming. Attention is focused on the three-body nonadditive energy, though all algorithms extend straightforwardly to the additive energy.... Read More about Parallel Implementation of Nonadditive Gaussian Process Potentials for Monte Carlo Simulations.

Microporous metallic scaffolds supported liquid infused icephobic construction (2022)
Journal Article
Wu, M., Wang, J., Ling, S., Wheatley, R., & Hou, X. (2023). Microporous metallic scaffolds supported liquid infused icephobic construction. Journal of Colloid and Interface Science, 634, 369-378. https://doi.org/10.1016/j.jcis.2022.12.034

Hypothesis: Ice accretion on component surfaces often causes severe impacts or accidents. Liquid-infused surfaces (LIS) have drawn much attention as icephobic materials for ice mitigation in recent years due to their outstanding icephobicity. However... Read More about Microporous metallic scaffolds supported liquid infused icephobic construction.

Polarisabilities of iterated stockholder atoms (2022)
Journal Article
Musse, S., & Wheatley, R. J. (2022). Polarisabilities of iterated stockholder atoms. Molecular Physics, https://doi.org/10.1080/00268976.2022.2111375

Polarisabilities of atoms within molecules can be calculated from molecular electron densities using the density partitioning method known as Iterated Stockholder Atoms (ISA). Non-local polarisation effects are removed by optimising the ISA functiona... Read More about Polarisabilities of iterated stockholder atoms.

Machine learning for non-additive intermolecular potentials: quantum chemistry to first-principles predictions (2022)
Journal Article
Graham, R. S., & Wheatley, R. J. (2022). Machine learning for non-additive intermolecular potentials: quantum chemistry to first-principles predictions. Chemical Communications, 58(49), 6898-6901. https://doi.org/10.1039/d2cc01820a

Prediction of thermophysical properties from molecular principles requires accurate potential energy surfaces (PES). We present a widely-applicable method to produce first-principles PES from quantum chemistry calculations. Our approach accurately in... Read More about Machine learning for non-additive intermolecular potentials: quantum chemistry to first-principles predictions.

Gaussian Process Models of Potential Energy Surfaces with Boundary Optimisation (2021)
Journal Article
Broad, J., Preston, S., Wheatley, R. J., & Graham, R. S. (2021). Gaussian Process Models of Potential Energy Surfaces with Boundary Optimisation. Journal of Chemical Physics, 155(14), Article 144106. https://doi.org/10.1063/5.0063534

A strategy is outlined to reduce the number of training points required to model intermolecular potentials using Gaussian processes, without reducing accuracy. An asymptotic function is used at long range and the cross-over distance between this mode... Read More about Gaussian Process Models of Potential Energy Surfaces with Boundary Optimisation.

Gaussian process models of potential energy surfaces with boundary optimization (2021)
Journal Article
Broad, J., Preston, S., Wheatley, R. J., & Graham, R. S. (2021). Gaussian process models of potential energy surfaces with boundary optimization. Journal of Chemical Physics, 155(14), Article 144106. https://doi.org/10.1063/5.0063534

A strategy is outlined to reduce the number of training points required to model intermolecular potentials using Gaussian processes, without reducing accuracy. An asymptotic function is used at a long range, and the crossover distance between this mo... Read More about Gaussian process models of potential energy surfaces with boundary optimization.

Cluster integrals and virial coefficients for realistic molecular models (2020)
Journal Article
Wheatley, R. J., Schultz, A. J., Do, H., Gokul, N., & Kofke, D. A. (2020). Cluster integrals and virial coefficients for realistic molecular models. Physical Review E, 101(5), Article 051301(R). https://doi.org/10.1103/physreve.101.051301

We present a concise, general, and efficient procedure for calculating the cluster integrals that relate thermodynamic virial coefficients to molecular interactions. The approach encompasses nonpairwise intermolecular potentials generated from quantu... Read More about Cluster integrals and virial coefficients for realistic molecular models.

Enhanced doping effects of multi‐element on anisotropic thermal expansion in ZrO2 with new compositions (2020)
Journal Article
Qu, L., Choy, K., & Wheatley, R. (2020). Enhanced doping effects of multi‐element on anisotropic thermal expansion in ZrO2 with new compositions. Journal of the American Ceramic Society, 103(10), 5881-5890. https://doi.org/10.1111/jace.17223

Coefficient of thermal expansion (CTE) of a solid material plays a critical role for a variety of high temperature applications such as thermal barrier coating (TBC) systems during the thermal cycling process. Ceramics contain ionic bonds; hence they... Read More about Enhanced doping effects of multi‐element on anisotropic thermal expansion in ZrO2 with new compositions.

Active learning in Gaussian process interpolation of potential energy surfaces (2018)
Journal Article
Uteva, E., Graham, R. S., Wilkinson, R. D., & Wheatley, R. J. (2018). Active learning in Gaussian process interpolation of potential energy surfaces. Journal of Chemical Physics, 149(17), 174114. https://doi.org/10.1063/1.5051772

© 2018 Author(s). Three active learning schemes are used to generate training data for Gaussian process interpolation of intermolecular potential energy surfaces. These schemes aim to achieve the lowest predictive error using the fewest points and th... Read More about Active learning in Gaussian process interpolation of potential energy surfaces.

Interpolation of intermolecular potentials using Gaussian processes (2017)
Journal Article
Uteva, E., Graham, R. S., Wilkinson, R. D., & Wheatley, R. J. (2017). Interpolation of intermolecular potentials using Gaussian processes. Journal of Chemical Physics, 147(16), Article 161706. https://doi.org/10.1063/1.4986489

A procedure is proposed to produce intermolecular potential energy surfaces from limited data. The procedure involves generation of geometrical configurations using a Latin hypercube design, with a maximin criterion, based on inverse internuclear dis... Read More about Interpolation of intermolecular potentials using Gaussian processes.

Reverse energy partitioning - An efficient algorithm for computing the density of states, partition functions, and free energy of solids (2016)
Journal Article
Wheatley, R. J., & Do, H. (2016). Reverse energy partitioning - An efficient algorithm for computing the density of states, partition functions, and free energy of solids. Journal of Chemical Physics, 145(8), 084116. https://doi.org/10.1063/1.4961386

© 2016 Author(s). A robust and model free Monte Carlo simulation method is proposed to address the challenge in computing the classical density of states and partition function of solids. Starting from the minimum configurational energy, the algorith... Read More about Reverse energy partitioning - An efficient algorithm for computing the density of states, partition functions, and free energy of solids.