Crystal structures are characterised by repeating atomic patterns within unit cells across three-dimensional space, posing unique challenges for graph-based representation learning. Current methods ...
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 ...
Mechanical structures combining rigid elements, like rods and bone, with flexible ones, like cables and membranes, are ubiquitous across a wide range of scales in natural and engineered systems. We ...
Private Set Intersection (PSI) refers to a functionality where two parties, each holding a private set of items, can check which items they have in common without revealing anything else to each other ...
Graphs have provided an expressive mathematical tool to model quantum-mechanical devices and systems. In particular, it has been recently discovered that graph theory can be used to describe and ...
The critical brain hypothesis has been confirmed experimentally many times since the pioneering electrode experiments in [1]. Power law (PL) distributed neuronal avalanches were shown in neuronal ...
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 ...
School of Materials Science and Engineering, Georgia Institute of Technology, 30332 Atlanta, Georgia United States Article Views are the COUNTER-compliant sum of full text article downloads since ...
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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