IEEE

Active Learning Polynomial-Chaos Kriging Based Uncertainty Quantification and Reliability Analysis of a Spline-Shafting System

Abstract: The flexible rotor system connected by a floating involute spline may experience self-excited vibrations due to internal friction excitation. The self-excited vibration induced by inevitable ...
C&EN

Fitting Potential Energy Surfaces by Learning the Charge Density Matrix with Permutationally Invariant Polynomials

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
GitHub

Dynamic Deep Factor Graph

WARNING: by default all experiments assume a shared policy by all agents i.e. there is one neural network shared by all agents The envs/ subfolder contains environment wrapper implementations for the ...
IEEE

Optimizing CRC Polynomial Selection using Reinforcement Learning for Improved GRAND Decoding

Abstract: This paper introduces a groundbreaking reinforcement learning (RL)-driven optimization framework for cyclic redundancy check (CRC) polynomials, tailored to meet the ultra-reliable ...