Results 141 to 150 of about 1,850,478 (263)
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source
Income tax evasion dynamics: Evidence from an agent-based econophysics model [PDF]
We analyze income tax evasion dynamics in a standard model of statistical mechanics, the Ising model of ferromagnetism. However, in contrast to previous research, we use an inhomogeneous multi-dimensional Ising model where the local degrees of freedom ...
Pickhardt, Michael, Seibold, Goetz
core
Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source
Josephson parametric oscillator based Ising machine
9 pages, 10 figures, 31 references.
Sasan Razmkhah +3 more
openaire +3 more sources
A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung +10 more
wiley +1 more source
A 2048-spin bulk acoustic wave Ising machine for number partitioning and Sudoku
Optical coherent Ising machines based on time-multiplexing have demonstrated significant progress in terms of connectivity and spin scalability. However, they are constrained by large physical footprints, high power consumption, poor thermal stability ...
Venkatesh Vadde +5 more
doaj +1 more source
Modelo de ising num campo aleatorio na aproximação do grupo de renormalização de campo medio [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina. Centro de Ciencias Fisicas e MatematicasO modelo de Ising num campo aleatório, com distribuição trimodal (soma de três funções delta) de campos, é estudado dentro da aproximação do grupo de
Arruda, Alberto Sebastião de
core
A 3D Multitask Graph Neural Network Framework for Ames Mutagenicity Prediction
Our proposed multitask graph neural network model has a high predictive accuracy for Ames mutagenicity. By operating directly on molecular graph representations instead of traditional molecular descriptors, and predicting strain‐specific results, the model outperforms most existing benchmarks.
Abigail E. Teitgen +3 more
wiley +1 more source
Photonic Ising Machine Using Parallel Bandit Architecture Based on Laser Chaos
Photonic computing has emerged as a transformative technology for overcoming the fundamental limitations of semiconductor technology. Among recent advancements, the laser chaos decision maker has been introduced for ultrafast decision making by ...
Ryota Yasudo +2 more
doaj +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source

