Results 51 to 60 of about 36,928 (264)

Hamiltonian GAN

CoRR, 2023
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

Spin Dynamics in the van der Waals Ferromagnet CrTe2 Engineered by Niobium Doping

Advanced Functional Materials, EarlyView.
Spin‐dynamic magnetic properties of van der Waals (vdW) ferromagnet 1T‐CrTe2 are tuned via niobium (Nb) as Cr1‐xNbxTe2 (x = 0–0.2). Nb doping enables wide‐band tuning of the resonance frequency from 40 GHz down to the few‐GHz regime, accompanied by a moderate increase in the Gilbert damping from ∼0.066 to ∼0.14.
Dhan Raj Lawati, Prem Bahadur Karki, Jitender Kumar, Karishma Prasad, Mohamed A. Elekhtiar, Kai Huang, Bibek Tiwari, Suvechhya Lamichhane, Rupak Timalsina, Zane Hubble, Ayodimeji E. Aregbesola, John Watt, Sy‐Hwang Liou, Evgeny Y. Tsymbal, Jian Wang, Kapildeb Ambal, Abdelghani Laraoui   +16 more
wiley   +1 more source

Strain Engineering of Magnetoresistance and Magnetic Anisotropy in CrSBr

Advanced Materials, EarlyView.
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, Alberto M. Ruiz, Marta Galbiati, Álvaro Cortés‐Flores, Daniel Brown, Esteban Zamora‐Amo, Lisa Almonte, Andrei Shumilin, Juan Salvador‐Sánchez, Ana Pérez‐Rodríguez, Iñaki Orue, Andrés Cantarero, Andres Castellanos‐Gomez, Federico Mompeán, Mar Garcia‐Hernandez, Efrén Navarro‐Moratalla, Enrique Diez, Mario Amado, José J. Baldoví, M. Reyes Calvo   +19 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
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, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Antithetic Magnetic and Shadow Hamiltonian Monte Carlo

IEEE Access, 2021
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, Rendani Mbuvha, Tshilidzi Marwala   +2 more
doaj   +1 more source

Spin and Charge Control of Topological End States in Chiral Graphene Nanoribbons on a 2D Ferromagnet

Advanced Materials, EarlyView.
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, Francisco Romero‐Lara, Trisha Sai, Kalyan Biswas, Manuel Vilas‐Varela, Thomas Frederiksen, Diego Peña, Fabian Schulz, Jose Ignacio Pascual   +8 more
wiley   +1 more source

Fractional Laplasians and propagation of waves in three-dimensional space as quantum process

Физика волновых процессов и радиотехнические системы, 2016
In this paper it is shown that in the whole range of problems of waves propagation there is hidden feynmanon. We call by feynmanon the quantum object moving along fractal trajectories in phase space of dynamical system related with wave equation ...
A.A. Potapov, A.E. Rassadin
doaj  

Relativistic and gravitational transformations in electrochemistry and nuclear magnetic resonance spectroscopy

Open Physics
A relativistic transformation of the electrode potential has been derived to account for time dilation effects in electrode processes. This newly formulated Lorentz transformation is interpreted in terms of the generation of spin-2 boson gravitons ...
Baig Mirza Wasif
doaj   +1 more source

Energy Conditions for Hamiltonian and Traceable Graphs

Universal Journal of Mathematics and Applications, 2019
A graph is called Hamiltonian (resp. traceable) if the graph has a Hamiltonian cycle (resp. path), a cycle (resp. path) containing all the vertices of the graph. The energy of a graph is defined as the sum of the absolute values of the eigenvalues of the
Rao Li
doaj   +1 more source

Microscopic Insights into Magnetic Warping and Time‐Reversal Symmetry Breaking in Topological Surface States of Rare‐Earth‐Doped Bi2Te3

Advanced Materials, EarlyView.
Magnetic doping of the topological insulator Bi2Te3 with erbium adatoms induces out‐of‐plane magnetism and breaks time‐reversal symmetry, opening a Dirac gap and driving a Fermi surface transition from hexagonal to star‐of‐David geometry. Microscopy, spectroscopy, and magnetic dichroism reveal atomically controlled magnetic interactions that tailor the
Beatriz Muñiz Cano, Fabián Calleja, Ji Dai, Massimo Tallarida, Vera Marinova, Alessandro Barla, Marc G. Cuxart, Pierluigi Gargiani, Gonzalo N. Molina, José Angel Silva‐Guillén, Adriana I. Figueroa, Kevin García‐Díez, Sergio O. Valenzuela, Aitor Mugarza, Amadeo L. Vázquez de Parga, Rodolfo Miranda, Francisco Guinea, Manuela Garnica, Miguel A. Valbuena   +18 more
wiley   +1 more source