The published wheels are currently not built with LAMMPS. Thus, running multiscale simulations with molecular dynamics is not possible with this quick installation. For the full functionality it is ...
Abstract: Nonlinear and non-Gaussian characteristics are common in industrial processes. Artificial neural correlation analysis (ANCA) is a good nonlinear process monitoring algorithm, which combines ...
Abstract: This paper presents a data fusion approach for calibrating pulsed E-field antennas used in high-amplitude, broadband electromagnetic field measurements. Due to the significant challenges in ...
ALIGNING THE CHILDHOOD VACCINE SCHEDULE WITH INTERNATIONAL BEST PRACTICES: Today, President Donald J. Trump signed a Presidential Memorandum to begin the process to align U.S. core childhood vaccine ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
Many companies reach a breaking point when critical unfilled positions open up faster than they can be filled. Internal teams often find themselves overwhelmed by the volume, speed, and specialization ...
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
1 Ecole Polytechnique de Ouagadougou, Ouagadougou, Burkina Faso. 2 Agence National Meteorologie, Ouagadougou, Burkina Faso. Precipitation is a critical meteorological factor that significantly impacts ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Satellite data provides essential insights into the spatiotemporal distribution of CO ...
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