Results 111 to 120 of about 3,139,455 (314)
Arc-disjoint hamiltonian paths in Cartesian products of directed cycles [PDF]
, 2022 Iren Darijani +2 more
openalex +1 more source
Advanced Energy Materials, EarlyView.In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
, 2013 Historically, the minimal length Hamiltonian cycles in a random point cloud lying inside a given rectangle are computed by partitioning this rectangle. We have used successive convex hulls of the set of points, in order to obtain partitions better suited for this purpose.
de Arriba Perez, Francisco +2 more
openaire +1 more source
Advanced Energy and Sustainability Research, EarlyView.Transition metal‐decorated holey graphyne (TM@hGY) catalysts are evaluated for electrochemical nitrogen reduction. Cr@hGY demonstrates exceptional catalytic activity with a limiting potential of −0.34 V, exhibiting high selectivity for ammonia synthesis and low hydrogen evolution, offering a promising strategy for efficient, sustainable ammonia ...
Mihir Ranjan Sahoo +3 more
wiley +1 more source
The Hamiltonian and Hypohamiltonian of Generalized Petersen Graph (GP_(n,9))
Jambura Journal of MathematicsThe study of Hamiltonian and Hypohamiltonian properties in the generalized Petersen graph GP_{n,k} is interesting due to the unique structure and characteristics of these graphs. The method employed in this study involves searching for Hamiltonian cycles
Susilawati Susilawati +3 more
doaj +1 more source
On Hamiltonian Paths and Cycles in Sufficiently Large Distance Graphs [PDF]
, 2014 Christian Löwenstein +2 more
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Hamiltonian Cycle in Folded Hypercubes With Highly Conditional Edge Faults [PDF]
, 2020 Che-Nan Kuo, Yu‐Huei Cheng
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Designing Memristive Materials for Artificial Dynamic Intelligence
Advanced Intelligent Discovery, EarlyView.Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Advanced 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
Energy Conditions for Hamiltonicity of Graphs
Discrete Dynamics in Nature and Society, 2014 Let G be an undirected simple graph of order n. Let A(G) be the adjacency matrix of G, and let μ1(G)≤μ2(G)≤⋯≤μn(G) be its eigenvalues. The energy of G is defined as ℰ(G)=∑i=1n|μi(G)|. Denote by GBPT a bipartite graph.
Guidong Yu +3 more
doaj +1 more source