For those who tried (or were even afraid to begin) to learn VEX but failed and stopped because it was too hard. Here you will learn VEX and applied math starting from the basics. From general to ...
The development of universal machine-learning interatomic potentials capable of simulating magnetic ordering is vital for the in silico discovery of indispensable magnetic materials across vast ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph Neural Networks (GNNs) have emerged as powerful tools for predicting material ...
A particle in quantum mechanics can escape thermalization in the presence of a random potential, a phenomenon known as Anderson localization. The properties of the Anderson localization transition ...
Shear wave velocity is an essential elastic rock parameter for reservoir characterization, fluid identification, and rock physics model building. However, S-wave velocity logging data are often ...
The paper concerns the development of methods of EEG functional connectivity estimation including short overview of the currently applied measures describing their advantages and flaws. Linear and non ...
Abstract: In recent times due to the advancement in perceptual applications, focus in computer vision has been inclined towards tasks that require a significant level of semantic understanding of ...
The PaStiX (Parallel Sparse matriX package) is a open-source scientific library that provides a high performance parallel solver for very large sparse linear systems based on direct methods. Numerical ...
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