Results 111 to 120 of about 15,908 (261)
Sparse identification of quantum Hamiltonian dynamics via quantum circuit learning
Sparse identification of nonlinear dynamics (SINDy) is a data-driven framework for estimating classical nonlinear dynamical systems from time-series data.
Yusei Tateyama, Yuzuru Kato
doaj +1 more source
Sliding Ferroelectricity Driven Spin‐Layertronics in Altermagnetic Multilayers
Integrating sliding ferroelectricity with altermagnetism enables nonvolatile electrical control of spin and layer degrees of freedom. In bilayer CuF2, interlayer translation reverses layer‐locked spin‐split bands, establishing a multifunctional “spin‐layertronic” platform.
Rui Peng +5 more
wiley +1 more source
Donor–acceptor asymmetry modulates conical‐intersection accessibility and topology in bridged stilbenes, providing mechanistic insight into excited‐state deactivation and aggregation‐induced emission (AIE). ABSTRACT A computation‐guided investigation of asymmetric donor–acceptor bridged stilbenes reveals structure–property relationships governing ...
Takuya Tanaka +8 more
wiley +1 more source
How Proton Incorporation Reshapes Lattice Dynamics In BaSnO3‐Type Proton Conductors
Yttrium‐doped BaSnO3 exhibits isotope‐dependent changes in its low‐energy vibrational density of states upon hydration. Comparison of dry, H2O‐, and D2O‐treated samples re‐veals mass‐dependent phonon renormalization linked to proton dynamics near oxygen va‐cancies, providing experimental insight into hydrogen‐coupled lattice excitations in proton ...
Artur Braun +9 more
wiley +1 more source
An exciting Approach to Theoretical Spectroscopy
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno +29 more
wiley +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
A programmable coupled‐resonator‐induced transparency (CRIT) platform is proposed, generalizing classical electromagnetically induced transparency (EIT) via a spinor representation. By utilizing dual‐channel gauge fields and universal unitary operations, this architecture enables dynamically engineered, reconfigurable slow‐light bands on a silicon ...
Seungkyun Park +5 more
wiley +1 more source
Existence of infinitely many periodic solutions for second-order nonautonomous Hamiltonian systems
By using minimax methods and critical point theory, we obtain infinitely many periodic solutions for a second-order nonautonomous Hamiltonian systems, when the gradient of potential energy does not exceed linear growth.
Wen Guan, Da-Bin Wang
doaj
A novel multiscale MD/DFT framework to elucidate microenzyme adsorption and electron transfer is reported. This method reveals distinct configurations for microperoxidase‐11 on graphene and those best suited for electron transfer. Rate constants align with the limited experimental data, establishing this framework as a tool for optimizing microenzyme ...
Milan Mijajlovic +6 more
wiley +1 more source
Emergent 3D Fermiology and Magnetism in an Intercalated Van der Waals System
An emergent three‐dimensional electronic state is uncovered in an intercalated van der Waals system. A spin‐polarized intercalant‐host hybridized band crossing the Fermi level provides an itinerant channel for interlayer exchange, highlighting how electronic dispersion governs magnetic dimensionality.
Luigi Camerano +18 more
wiley +1 more source

