Omarkhan Samarkanov, Masoud Riazi School of Mining and Geosciences Presented at: 6th EAGE Global Energy Transition Conference & Exhibition (GET ...
Join the audience for a live webinar at 3 p.m. GMT/10 a.m. EST on 21 January 2026 Discover the role of impedance analysis in advancing battery-model development ...
Abstract: Physics-informed neural networks (PINNs) have emerged as a promising approach for solving magnetic field problems by directly embedding governing equations and boundary conditions into the ...
Abstract: This paper introduces an innovative approach utilizing a deep neural network (DNN) to optimize the modulation scheme for time-modulated antenna array (TMAA) to verify specific side lobe and ...
This article is part of a package in collaboration with Forbes on time capsules, preserving information and communicating with the future. Read more from the report. Yet according to physics, ...
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