Results 121 to 130 of about 1,095,825 (329)
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Where do knowledge-intensive firms locate in Germany?-An explanatory framework using exponential random graph modeling. [PDF]
Heidinger M+4 more
europepmc +1 more source
A Central Limit Theorem for the Number of Edges in the Random Intersection of Two Graphs [PDF]
O. Abe
openalex +1 more source
In this manuscript, the processability of X2CrNiMo17‐12‐2 powder coated with silicon carbide, silicon, and silicon nitride nanoparticles is investigated. The amount of nanoparticles varies from 0.25 to 1 vol%. By coating the powder feedstock material with nanoparticles, an enlargement of the process window and an increase in the build rate are achieved.
Nick Hantke+5 more
wiley +1 more source
The evolution of random graphs [PDF]
According to a fundamental result of Erdös and Rényi, the structure of a random graphGM{G_M}changes suddenly whenM∼n/2M \sim n/2: ifM=⌊cn⌋M = \left \lfloor {cn} \right \rfloorandc>12c > \frac {1}{2}then a.e. random graph of ordernnand sinceMMis such that its largest component hasO(logn)O(\log n)vertices, but forc>12c > \frac {1}{2}a.e.GM ...
openaire +2 more sources
Deformation Behavior of La2O3‐Doped Copper during Equal Channel Angular Pressing
By additions of strengthening elements and/or structure optimization, the mechanical properties of copper can be increased while keeping favorable electric conductivity. By combining addition of La2O3 and processing by equal channel angular pressing, substructure development is achieved, leading to increase in microhardness to more than double the ...
Lenka Kunčická+2 more
wiley +1 more source
Limit theorems for the weights and the degrees in anN-interactions random graph model
A random graph evolution based on interactions of N vertices is studied. During the evolution both the preferential attachment rule and the uniform choice of vertices are allowed. The weight of an M-clique means the number of its interactions.
Fazekas István, Porvázsnyik Bettina
doaj +1 more source
Practical Network Modeling via Tapered Exponential-family Random Graph Models. [PDF]
Blackburn B, Handcock MS.
europepmc +1 more source
Optimization Problems on Graphs with Independent Random Edge Weights [PDF]
George S. Lueker
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source