Results 91 to 100 of about 158,681 (246)

Magnetic ordering and its influence on X‐ray spectroscopies

open access: yesMajor Reference Works, Page 163-168., 2023
International Tables for Crystallography is the definitive resource and reference work for crystallography and structural science.

Each of the eight volumes in the series contains articles and tables of data relevant to crystallographic research and to applications of crystallographic methods in all sciences concerned with the ...
Gerrit van der Laan   +3 more
wiley  

+2 more sources

Determination of the Shortest Hamiltonian Paths in an Arbitrary Graph of Distributed Databases

open access: yesРоссийский технологический журнал, 2019
A method has been developed for finding the shortest Hamiltonian path in an arbitrary graph based on the rank approach, which provides high efficiency and a significant reduction in the error in solving the problem of organizing the process of managing ...
E. G. Andrianova   +2 more
doaj   +1 more source

Electric Field‐Induced Hole‐ and Electron‐Type Flat Bands in Twisted Double Bilayer Graphene

open access: yesAdvanced Electronic Materials, EarlyView.
The electronic structure of twisted double bilayer graphene is visualized using angle‐resolved photoemission spectroscopy with micrometer spatial resolution at twists of 3.1∘$^\circ$ and 6.0∘$^\circ$ as a function of gate voltage. Tunable hybridization effects and flat band formation occurs between valence and conduction band states due to a finite ...
Zhihao Jiang   +13 more
wiley   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen   +5 more
wiley   +1 more source

Hamiltonian path of \(M_ k-v\)

open access: yesRevista Técnica de la Facultad de Ingeniería, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eduardo Montenegro   +1 more
openaire   +2 more sources

Tree graph representation of hamiltonian paths

open access: yesComputers & Mathematics with Applications, 1994
A Hamiltonian path of faces of a polyhedron consists of a sequence of adjacent faces which contains each face exactly once. This paper compares by using tree diagrams the Hamiltonian itineraries versus all possible itineraries of adjacent faces of the five regular polyhedrons. The graphs for the tetrahedron, octahedron and icosahedron are binary trees.
openaire   +2 more sources

Evolution of Physical Intelligence Across Scales

open access: yesAdvanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu   +7 more
wiley   +1 more source

Proving the existence of Euclidean knight's tours on n×n×...×n chessboards for n<4 [PDF]

open access: yesNotes on Number Theory and Discrete Mathematics
The Knight's Tour problem consists of finding a Hamiltonian path for the knight on a given set of points so that the knight can visit exactly once every vertex of the mentioned set. In the present, we provide a 5-dimensional alternative to the well-known
Marco Ripà
doaj   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

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