30 citations
- Institut de Chimie de la Matière Condensée de BordeauxFR2 papers
- Kavli Energy NanoScience InstituteUS2 papers
- Lawrence Berkeley National LaboratoryUS2 papers
- UCLouvainBE2 papers
- University of California SystemUS2 papers
- Yukhnovskii Institute for Condensed Matter Physics of the National Academy of Sciences of UkraineUA2 papers
- Bohai UniversityCN1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Chalmers University of TechnologySE1 paper
- Chinese University of Hong KongHK1 paper
- Collaborative Innovation Center of Advanced MicrostructuresCN1 paper
- George Washington UniversityUS1 paper
6 papers
Tunable electronic energy level alignment and exciton diversity in organic-inorganic van der Waals heterostructures
Aurélie Champagne, Olugbenga Adeniran, Jonah B. Haber +3
van der Waals stacking of two-dimensional (2D) materials offers a powerful platform for engineering material interfaces with tailored electronic and optical properties. While most…
The reliability of hybrid functionals for accurate fundamental and optical gap prediction of bulk solids and surfaces
Francisca Sagredo, María Camarasa-Gómez, Francesco Ricci +3
Hybrid functionals have been considered insufficiently reliable for the prediction of band gaps in solids and surfaces. We revisit this issue with a new generation of optimally-tun…
Electromagnetic Duality Symmetry-Protected Dirac-Like Cones
Muxuan Yang, Dongyang Yan, Lei Gao +5
Dirac-like cones, featuring conical linear dispersions intersecting with flat bands, typically arise from accidental degeneracy of multiple modes that requires precise tuning of ma…
Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials
Penghua Ying, Wenjiang Zhou, Lucas Svensson +10
Path-integral molecular dynamics (PIMD) simulations are crucial for accurately capturing nuclear quantum effects in materials. However, their computational intensity and reliance o…
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization
Lu Wen, Songan Zhang, H. Eric Tseng +3
Meta Reinforcement Learning (Meta-RL) has seen substantial advancements recently. In particular, off-policy methods were developed to improve the data efficiency of Meta-RL techniq…
Determination of flow stress and the critical strain for the onset of dynamic recrystallization using a sine function
Soheil Solhjoo
A new model has been developed to estimate the flow stress under hot deformation conditions up to the peak of the stress-strain curves. The model is constructed on the basis of the…