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Quantitative prediction of excitons in lattice-mismatched van der Waals heterostructures
Jakob Kjærulff Svaneborg, Mikkel Ohm Sauer, Amalie Helena Svaneborg +1
Accurate modeling of dielectric screening in van der Waals (vdW) heterostructures is essential for predicting photonic and optoelectronic properties - yet conventional first-princi…
Large-scale Integration of Experimental and Computational Data for 2D Materials
Mohammad A. Akhound, Tara M. Boland, Mikkel O. Sauer +19
The past decade has seen rapid growth in the number of experimentally realized two-dimensional (2D) materials with diverse chemical and physical properties. However, information on…
Self-consistent layer-projected scissors operator for band structures of complex 2D van der Waals materials
Dario A. Leon, Mikael Kuisma, Mikkel Ohm Sauer +6
We introduce a computationally efficient method to calculate the quasiparticle (QP) band structure of general van der Waals (vdW) heterostructures. A layer-projected scissors (LAPS…
Dispersion-corrected Machine Learning Potentials for 2D van der Waals Materials
Mikkel Ohm Sauer, Peder Meisner Lyngby, Kristian Sommer Thygesen
Machine-learned interatomic potentials (MLIPs) based on message passing neural networks hold promise to enable large-scale atomistic simulations of complex materials with ab initio…