Results 61 to 70 of about 116,934 (311)
Interface Effects in Ultrathin Silicon on Insulator Films
This work establishes a systematic framework to discriminate how bulk and interface phenomena affect charge transport in ultrathin P‐doped silicon‐on‐insulator (SOI) films. For Si films below 15 nm, electrical characterization demonstrates that interface states drive charge transport, shifting the metal‐insulator transition (MIT) critical dopant ...
Andrea Pulici +8 more
wiley +1 more source
Fourier Transform of Transfer Matrices of Plane Ising Models
This work demonstrates the Fourier transform of the elementary transfer matrix of the generalized two-dimensional Ising model with special boundary conditions with a shift (screw type) with the form of a Hamiltonian covering the classical Ising model ...
Pavel V. Khrapov
doaj +1 more source
A growing body of work leverages the Hamiltonian formalism as an inductive bias for physically plausible neural network based video generation. The structure of the Hamiltonian ensures conservation of a learned quantity (e.g., energy) and imposes a phase-space interpretation on the low-dimensional manifold underlying the input video.
openaire +3 more sources
Strain Engineering of Magnetoresistance and Magnetic Anisotropy in CrSBr
Biaxial compressive strain significantly enhances magnetoresistance and critical saturation fields in thin flakes of the 2D magnet CrSBr, along all three crystallographic axes. First‐principles calculations link these effects to strain‐induced increases in exchange interactions and magnetic anisotropy.
Eudomar Henríquez‐Guerra +19 more
wiley +1 more source
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Antithetic Magnetic and Shadow Hamiltonian Monte Carlo
Hamiltonian Monte Carlo is a Markov Chain Monte Carlo method that has been widely applied to numerous posterior inference problems within the machine learning literature. Markov Chain Monte Carlo estimators have higher variance than classical Monte Carlo
Wilson Tsakane Mongwe +2 more
doaj +1 more source
ranocha/Hamiltonian-RRK-notebooks
Relaxation Runge-Kutta Methods for Hamiltonian ...
Hendrik Ranocha (7307627) +3 more
core +1 more source
Spin and Charge Control of Topological End States in Chiral Graphene Nanoribbons on a 2D Ferromagnet
Chiral graphene nanoribbons on a ferromagnetic gadolinium‐gold surface alloy display tunable spin and charge states at their termini. Atomic work function variations and exchange fields enabe transitions between singlet, doublet, and triplet configurations.
Leonard Edens +8 more
wiley +1 more source
Change in Hamiltonian General Relativity from the Lack of a Time-like Killing Vector Field [PDF]
In General Relativity in Hamiltonian form, change has seemed to be missing, defined only asymptotically, or otherwise obscured at best, because the Hamiltonian is a sum of first-class constraints and a boundary term and thus supposedly generates gauge ...
Pitts, J. Brian, J. Brian Pitts
core
An approximation method for the stabilizing solution of the Hamilton-Jacobi equation for integrable systems using Hamiltonian perturbation theory [PDF]
In this report, a method for approximating the stabilizing solution of the Hamilton-Jacobi equation for integrable systems is proposed using symplectic geometry and a Hamiltonian perturbation technique.
Sakamoto, Noboru +10 more
core +1 more source

