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The collective dynamics of topological structures are of interest from both fundamental and applied perspectives. For example, studies of dynamical properties of magnetic vortices and skyrmions have not only deepened our understanding of many-body physics but also offered potential applications in data processing and storage. Topological structures constructed from electrical polarization, rather than electron spin, have recently been realized in ferroelectric superlattices, and these are promising for ultrafast electric-field control of topological orders. However, little is known about the dynamics underlying the functionality of such complex extended nanostructures. Here, using terahertz-field excitation and femtosecond X-ray diffraction measurements, we observe ultrafast collective polarization dynamics that are unique to polar vortices, with orders-of-magnitude higher frequencies and smaller lateral size than those of experimentally realized magnetic vortices. A previously unseen tunable mode, hereafter referred to as a vortexon, emerges in the form of transient arrays of nanoscale circular patterns of atomic displacements, which reverse their vorticity on picosecond timescales. Its frequency is considerably reduced (softened) at a critical strain, indicating a condensation (freezing) of structural dynamics. We use first-principles-based atomistic calculations and phase-field modelling to reveal the microscopic atomic arrangements and corroborate the frequencies of the vortex modes. The discovery of subterahertz collective dynamics in polar vortices opens opportunities for electric-field-driven data processing in topological structures with ultrahigh speed and density.
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http://dx.doi.org/10.1038/s41586-021-03342-4 | DOI Listing |
Philos Trans A Math Phys Eng Sci
September 2025
Niels Bohr Institute, University of Copenhagen, Kobenhavn, Capital Region of Denmark 2100, Denmark.
Increasing evidence suggests that active matter exhibits instances of mixed symmetry that cannot be fully described by either polar or nematic formalism. Here, we introduce a minimal model that integrates self-propulsion into the active nematic framework. Our linear stability analyses reveal how self-propulsion shifts the onset of instability, fundamentally altering the dynamical landscape.
View Article and Find Full Text PDFEval Program Plann
August 2025
National MCH Workforce Development Center, Department of Maternal and Child Health, University of North Carolina at Chapel Hill, 412 Rosenau Hall, Chapel Hill NC, 27599, USA; UNC Gillings School of Global Public Health, Department of Health Policy and Management, University of North Carolina at Chap
Creating well-functioning public health systems is complex and requires collaboration across often fragmented parts of the system. Group Model Building (GMB) is an evidence-based method that engages diverse partners in understanding complexity and identifying opportunities for systems change. Through a structured sequence of scripted activities, GMB supports the development of shared insights into the dynamics that shape outcomes in complex, change-resistant systems.
View Article and Find Full Text PDFAdv Mater
September 2025
NRC (Nanostructure Research Centre), Wuhan University of Technology, Wuhan, 430070, China.
Thermoelectric nanoplates derived from anisotropic van der Waals (vdW) materials such as BiTe are pivotal for flexible electronics and microscale thermal management. Their performance critically depends on grain boundary (GB) microstructure, but the atomic-scale mechanisms governing grain growth in these highly anisotropic systems remain elusive. This particularly concerns the competition between individual nanoplate reshaping driven by facet stabilization and collective merging at GBs.
View Article and Find Full Text PDFWater Res
September 2025
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China. Electronic address:
Groundwater overextraction presents persistent challenges due to strategic interdependence among decentralized users. While game-theoretic models have advanced the analysis of individual incentives and collective outcomes, most frameworks assume fully rational agents and neglect the role of cognitive and social factors. This study proposes a coupled model that integrates opinion dynamics with a differential game of groundwater extraction, capturing the interaction between institutional authority and evolving stakeholder preferences.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Department of Mathematics and Computer Science, Freie Universität, Berlin, Germany.
Coarse-grained (CG) molecular dynamics simulations extend the length and time scales of atomistic simulations by replacing groups of correlated atoms with CG beads. Machine-learned coarse-graining (MLCG) has recently emerged as a promising approach to construct highly accurate force fields for CG molecular dynamics. However, the calibration of MLCG force fields typically hinges on force matching, which demands extensive reference atomistic trajectories with corresponding force labels.
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