Results 1 to 10 of about 336,699 (192)
A physics-informed graph neural network conserving linear and angular momentum for dynamical systems [PDF]
Nature CommunicationsAccurate, interpretable, and real-time modeling of multi-body dynamical systems is essential for predicting behaviors and inferring physical properties in natural and engineered environments.
Vinay Sharma, Olga Fink
doaj +2 more sources
Reconstruction Thresholds on Regular Trees [PDF]
Discrete Mathematics & Theoretical Computer Science, 2003 We consider themodel of broadcasting on a tree, with binary state space, on theinfinite rooted tree $T^k$ in which each node has $k$ children. The root of the tree takesa random value $0$ or $1$, and then each node passes a value independently to each of
James B. Martin
doaj +6 more sources
Physics constrained graph neural network for real time prediction of intracranial aneurysm hemodynamics [PDF]
npj Digital MedicineIntracranial aneurysms (IAs) are life-threatening vascular conditions requiring accurate risk assessment to guide treatment. Hemodynamic biomarkers such as wall shear stress and oscillatory shear index are promising predictors of rupture risk but remain ...
Vincent Lannelongue +6 more
doaj +2 more sources
Fractal and Fractional, 2023 In this research work, we investigate the complex structure of soliton in the Fractional Kudryashov–Sinelshchikov Equation (FKSE) using conformable fractional derivatives.
Rashid Ali +5 more
doaj +1 more source
Ideal Photonic Weyl Nodes Stabilized by Screw Rotation Symmetry in Space Group 19
Crystals, 2020 Topological photonics have developed in recent years since the seminal discoveries of topological insulators in condensed matter physics for electrons.
Wenlong Gao, Yao-Ting Wang
doaj +1 more source
An electrostatics method for converting a time-series into a weighted complex network
Scientific Reports, 2021 This paper proposes a new method for converting a time-series into a weighted graph (complex network), which builds on electrostatics in physics. The proposed method conceptualizes a time-series as a series of stationary, electrically charged particles ...
Dimitrios Tsiotas +2 more
doaj +1 more source
Evaluation of HPC Acceleration and Interconnect Technologies for High-Throughput Data Acquisition
Sensors, 2021 Efficient data movement in multi-node systems is a crucial issue at the crossroads of scientific computing, big data, and high-performance computing, impacting demanding data acquisition applications from high-energy physics to astronomy, where dedicated
Alessandro Cilardo
doaj +1 more source
Neural-prior stochastic block model
Machine Learning: Science and Technology, 2023 The stochastic block model (SBM) is widely studied as a benchmark for graph clustering aka community detection. In practice, graph data often come with node attributes that bear additional information about the communities.
O Duranthon, L Zdeborová
doaj +1 more source
Materials Research Express, 2020 We report a distinctly different zero feld cooled negative exchange bias(EB) effect in Ni doped LaFeO _3 nanoparticle where the EB field is both temperature and concentration dependent.
T Lakshmana Rao +3 more
doaj +1 more source
Node Importance Evaluation of Cyber‐Physical System under Cyber‐Attacks Spreading [PDF]
Complexity, 2021 The study of cyber‐attacks, and in particular the spread of attack on the power cyber‐physical system, has recently attracted considerable attention. Identifying and evaluating the important nodes under the cyber‐attack propagation scenario are of great significance for improving the reliability and survivability of the power system.
Xin-Rui Liu, Yuan Meng, Peng Chang
openaire +2 more sources