id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fx719k4594r	Nan Feng	Applications of Stochastic Methods and Machine Learning Techniques in Computational Mechanics and Topology Optimization	2023		.txt	text/plain	284	8	3	Recent advances in stochastic methods and machine learning (ML) techniques have opened new pathways that can be explored for addressing uncertainty quantification and for accelerating computational tasks in various mechanics applications. Based on the performance studies on uncertainty quantification methods, an efficient 2nd-order stochastic perturbation technique is integrated with a density-based topology optimization framework for designing robust structures at finite deformations while considering load, material, and geometric uncertainties.	cache/fx719k4594r.txt	txt/fx719k4594r.txt