Results 161 to 170 of about 55,351 (274)
X‐Ray Absorption Studies of Local Structure of Dilute Ionic Species in Molten Salts
This article reviews the state of the art in the use of X‐ray absorption spectroscopy methods, both experimental and theoretical, for understanding the structure of dopant metal ions in molten salts. Recent strategies, including molecular dynamics simulations and neural network–assisted analysis of X‐ ray absorption spectroscopy as well as chemometrics
Kaifeng Zheng+11 more
wiley +1 more source
Ising model onL×Lsquare lattice with free boundary conditions up toL= 19 [PDF]
Seung‐Yeon Kim
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This study introduces a novel probabilistic bit (p‐bit) device utilizing advanced materials, hexagonal boron nitride (h‐BN) and tin disulfide (SnS2), to enhance durability and energy efficiency in computational applications. By leveraging the stochastic behavior of electron trapping and detrapping at the h‐BN/SnS2 interface, the device achieves ...
Joon‐Kyu Han+5 more
wiley +1 more source
Phase‐Change Heterostructures Based on Antimony
Switching cycle of a phase‐change superlattice heterostructure consisting of alternating nanolayers of antimony and TiTe2 is simulated using ab initio and machine‐learned molecular dynamics. It is shown that it is possible to switch the Sb layer without destroying the confinement layer.
Simone Ritarossi+5 more
wiley +1 more source
Monte Carlo study of the square-lattice annealed Ising model on percolating clusters
P. D. Scholten, Miron Kaufman
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Free energy and metastable states in the square-lattice J1-J2 Ising model
V. A. Abalmasov
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Partial Melting and Structural Disorder in Models of Irradiated Amorphous Ge2Sb2Te5
The evolution of the potential energy landscape of glassy Ge2Sb2Te5$\left(\text{Ge}\right)_{2} \left(\text{Sb}\right)_{2} \left(\text{Te}\right)_{5}$ during irradiation indicates the partial melting of the model structure. This view provides a thermodynamic insight into the fast recovery of the amorphous network after irradiation. The chemical disorder
Felix C. Mocanu+2 more
wiley +1 more source
Weak first-order phase transitions in the frustrated square lattice J1-J2 classical Ising model
Adil A. Gangat
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What can we Learn from Quantum Convolutional Neural Networks?
Quantum Convolutional Neural Networks have been long touted as one of the premium architectures for quantum machine learning (QML). But what exactly makes them so successful for tasks involving quantum data? This study unlocks some of these mysteries; particularly highlighting how quantum data embedding provides a basis for superior performance in ...
Chukwudubem Umeano+3 more
wiley +1 more source
A new approach to real space renormalization group treatment of Ising model for square and simple cubic lattice [PDF]
Tuncer Kaya
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