statistiche ricercatore

Nome	#
Supervised Machine Learning Approaches for Structural Integrity: Residual Stress Evaluation and Defect-based Fatigue Modelling	49
Contour Method with Uncertainty Quantification: A Robust and Optimised Framework via Gaussian Process Regression	33
A Bayesian defect-based physics-guided neural network model for probabilistic fatigue endurance limit evaluation	32
On the significance of diffuse crack width self-evolution in the phase-field model for residually stressed brittle materials	31
A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing	30
Evaluation and Origin of Residual Stress in Hybrid Metal and Extrusion Bonding and Comparison with Friction Stir Welding	21
Quantification of uncertainty in a defect-based Physics-Informed Neural Network for fatigue evaluation and insights on influencing factors	15
Probabilistic defect-based modelling of fatigue strength for incomplete datasets assisted by literature data	13
Totale	224

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	24	0	3	2	0	0	0	5	0	0	2	7	5
2022/2023	36	3	2	4	2	2	8	0	1	4	0	7	3
2023/2024	76	11	0	2	6	4	3	36	1	2	4	1	6
2024/2025	88	26	12	23	17	10	0	0	0	0	0	0	0
Totale													224