statistiche ricercatore

Nome	#
A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing, file 3b050986-a8d1-4401-96ac-9393c167cece	275
On the significance of diffuse crack width self-evolution in the phase-field model for residually stressed brittle materials, file e27ce0c9-76c0-055e-e053-6605fe0a7873	20
A Bayesian defect-based physics-guided neural network model for probabilistic fatigue endurance limit evaluation, file 50eeea6f-b12b-460e-9109-fb2d960ffbe7	4
Quantification of uncertainty in a defect-based Physics-Informed Neural Network for fatigue evaluation and insights on influencing factors, file 3c2351d1-9537-44ed-86c4-440f75005125	2
Contour Method with Uncertainty Quantification: A Robust and Optimised Framework via Gaussian Process Regression, file e27ce0c9-d855-055e-e053-6605fe0a7873	2
Totale	303

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	8	0	0	1	0	0	2	0	0	1	2	1	1
2022/2023	19	0	1	1	1	2	2	0	3	4	1	2	2
2023/2024	276	1	2	5	5	0	27	5	227	0	1	3	0
Totale													303