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Harnessing energy landscape exploration to control the buckling of cylindrical shells (2019)
Journal Article
Panter, J., Chen, J., Zhang, T., & Kusumaatmaja, H. (2019). Harnessing energy landscape exploration to control the buckling of cylindrical shells. Communications Physics, 2, Article 151. https://doi.org/10.1038/s42005-019-0251-4

Even for relatively simple thin shell morphologies, many di↵erent buckled configurations can be stable simultaneously. Which state is observed in practice is highly sensitive to both environmental perturbations and shell imperfections. The complexity... Read More about Harnessing energy landscape exploration to control the buckling of cylindrical shells.

Learning dynamical information from static protein and sequencing data (2019)
Journal Article
Pearce, P., Woodhouse, F., Forrow, A., Kelly, A., Kusumaatmaja, H., & Dunkel, J. (2019). Learning dynamical information from static protein and sequencing data. Nature Communications, 10, Article 5368. https://doi.org/10.1038/s41467-019-13307-x

Many complex processes, from protein folding to neuronal network dynamics, can be described as stochastic exploration of a high-dimensional energy landscape. While efficient algorithms for cluster detection in high-dimensional spaces have been develo... Read More about Learning dynamical information from static protein and sequencing data.

Morphological analysis of chiral rod clusters from a coarse-grained single-site chiral potential (2019)
Journal Article
Sutherland, B., Olesen, S., Kusumaatmaja, H., Morgan, J., & Wales, D. (2019). Morphological analysis of chiral rod clusters from a coarse-grained single-site chiral potential. Soft Matter, 15(40), 8147-8155. https://doi.org/10.1039/c9sm01343a

We present a coarse-grained single-site potential for simulating chiral interactions, with adjustable strength, handedness, and preferred twist angle. As an application, we perform basin-hopping global optimisation to predict the favoured geometries... Read More about Morphological analysis of chiral rod clusters from a coarse-grained single-site chiral potential.

Wetting boundaries for a ternary high-density-ratio lattice Boltzmann method (2019)
Journal Article
Bala, N., Pepona, M., Karlin, I., Kusumaatmaja, H., & Semprebon, C. (2019). Wetting boundaries for a ternary high-density-ratio lattice Boltzmann method. Physical Review E, 100(1), Article 013308. https://doi.org/10.1103/physreve.100.013308

We extend a recently proposed ternary free-energy lattice Boltzmann model with high density contrast [Phys. Rev. Lett. 120, 234501 (2018)] by incorporating wetting boundaries at solid walls. The approaches are based on forcing and geometric schemes,... Read More about Wetting boundaries for a ternary high-density-ratio lattice Boltzmann method.

Multifaceted design optimization for superomniphobic surfaces (2019)
Journal Article
Panter, J., Gizaw, Y., & Kusumaatmaja, H. (2019). Multifaceted design optimization for superomniphobic surfaces. Science Advances, 5(6), Article eaav7328. https://doi.org/10.1126/sciadv.aav7328

Superomniphobic textures are at the frontier of surface design for vast arrays of applications. Despite recent substantial advances in fabrication methods for reentrant and doubly reentrant microstructures, design optimization remains a major challen... Read More about Multifaceted design optimization for superomniphobic surfaces.

Multicomponent flow on curved surfaces: A vielbein lattice Boltzmann approach (2019)
Journal Article
Ambrus, V., Busuioc, S., Wagner, A., Paillusson, F., & Kusumaatmaja, H. (2019). Multicomponent flow on curved surfaces: A vielbein lattice Boltzmann approach. Physical Review E, 100, https://doi.org/10.1103/physreve.100.063306

We develop and implement a novel finite difference lattice Boltzmann scheme to study multicomponent flows on curved surfaces, coupling the continuity and Navier-Stokes equations with the Cahn-Hilliard equation to track the evolution of the binary flu... Read More about Multicomponent flow on curved surfaces: A vielbein lattice Boltzmann approach.