Sharif Digital Repository

Discovery of novel quaternary bulk metallic glasses using a developed correlation-based neural network approach

Author

Samavatian, M.

Publisher

Elsevier B.V,

Pub. Year

2021

Subjects

Glass. / Glass transition. / Metallic glass. / Microalloying. / Ternary alloys. / Alloying compositions. / Bulk metallic glass. / Chemical compositions. / Contributory factors. / Microalloying effects. / Prediction accuracy. / Processing parameters. / Quaternary systems. / Neural networks.

Machine learning-assisted investigation of anisotropic elasticity in metallic alloys

Author

Zhang, W.

Pub. Year

2024

Subjects

Additive manufacturing. / 3D printing. / Additives. / Elasticity. / Forecasting. / Iterative methods. / Machine learning. / Numerical methods. / Radial basis function networks. / Tensors. / Anisotropic elastic. / Anisotropic elasticity. / Elastic tensors. / Elasticity tensor. / Impulse excitation technique. / Input datas. / Learning-based methods. / Machine learning models. / Machine-learning. / Metallic alloys. / Anisotropy.

Correlation-driven machine learning for accelerated reliability assessment of solder joints in electronics

Author

Samavatian, V.

Publisher

Nature Research,

Pub. Year

2020

Iterative machine learning-aided framework bridges between fatigue and creep damages in solder interconnections

Author

Samavatian, V.

Publisher

Institute of Electrical and Electronics Engineers Inc,

Pub. Year

2021

Subjects

Artificial intelligence. / Binary alloys. / Copper alloys. / Creep. / Geometry. / Iterative methods. / Lead alloys. / Lead-free solders. / Learning systems. / Reliability. / Soldering. / Thermoelectric equipment. / Tin alloys. / Creep damages. / Damage evolution. / Electronics devices. / Iterative machine learning. / Prediction algorithms. / Predictive models. / Self-healing. / Solder alloys. / Solder joints. / Thermal loadings. / Forecasting.

Iterative machine learning-aided framework bridges between fatigue and creep damages in solder interconnections

Author

Samavatian, V.

Publisher

Institute of Electrical and Electronics Engineers Inc,

Pub. Year

2022

Subjects

Creep damage. / Electronic device. / Fatigue damage. / Iterative machine learning. / Solder joint. / Artificial intelligence. / Binary alloys. / Copper alloys. / Creep. / Geometry. / Iterative methods. / Lead alloys. / Lead-free solders. / Learning systems. / Reliability. / Soldering. / Thermoelectric equipment. / Tin alloys. / Creep damages. / Damage evolution. / Electronics devices. / Iterative machine learning. / Prediction algorithms. / Predictive models. / Self-healing. / Solder alloys. / Solder joints. / Thermal loadings. / Forecasting.

Characterization of nanoscale structural heterogeneity in metallic glasses: A machine learning study

Author

Samavatian, M.

Publisher

Elsevier B.V,

Pub. Year

2022

Subjects

Atomic force microscopy. / Energy dissipation. / Glass. / Metallic glass. / Nanotechnology. / Scanning. / Stochastic systems. / (metallic) glass. / Atomic-force-microscopy. / Energy. / Glass surfaces. / Machine learning models. / Nano scale. / Reliable studies. / Structural heterogeneity. / Time consuming analysis. / Viscoelastic response. / Machine learning.

Estimation of compressive strength of cement mortars using impulse excitation technique and a genetic algorithm

Author

Baroud, M. M.

Publisher

ICE Publishing,

Pub. Year

2023

Subjects

Cement paste. / Compressive strength. / Genetic algorithm. / Impulse excitation technique. / Modulus of elasticity. / Non-destructive test.

Local elasticity assessment of unidirectional fiber-reinforced polymer composites through impulse excitation and machine learning

Author

Liu, Y.

Publisher

ResearchGate,

Pub. Year

2024

Subjects

Elasticity. / Machine learning. / Polymeric composites. / Simulation and modeling. / Carbon carbon composites. / Carbon fiber reinforced plastics. / Deep neural networks. / Deep reinforcement learning.

Nonlinear modeling for bearing fault diagnosis in non-stationary operating conditions

Author

Samavatian, M.

Pub. Year

2024

Subjects

Bearings. / False alarm. / Fault diagnosis. / Variable operational conditions. / Alarm systems. / Failure analysis. / Fault detection. / Bearing. / Bearing failures. / Falsealarms. / Faults diagnosis. / Operating condition. / Operational conditions. / Statistical indices. / Surface plots. / Variable operational condition. / Vibrations analysis. / Vibration analysis.

Machine learning-enabled characterization of concrete mechanical strength through correlation of flexural and torsional resonance frequencies

Author

Bai, L.

Pub. Year

2024

Subjects

Concrete. / Machine learning. / Resonance frequency. / Concretes. / Deep neural networks. / Dynamics. / Elastic moduli. / Learning systems. / Mean square error. / Natural frequencies. / Concrete compressive strength. / Data driven. / Impulse excitation technique. / Impulse excitations. / Learning frameworks. / Machine-learning. / Mechanical. / Mechanical strength. / Resonance frequencies. / Torsional resonances. / Compressive strength.

Bayesian machine learning-aided approach bridges between dynamic elasticity and compressive strength in the cement-based mortars

Author

Wang, N.

Publisher

Elsevier Ltd,

Pub. Year

2023

Subjects

Cement. / Compressive strength. / Machine learning. / Modulus of elasticity.

Reliability modeling of multistate degraded power electronic converters with simultaneous exposure to dependent competing failure processes

Author

Samavatian, V.

Publisher

Institute of Electrical and Electronics Engineers Inc,

Pub. Year

2021

Subjects

Outages. / Power electronics. / Reliability. / Vibration analysis. / Wear of materials. / Competing failure. / DC-DC boost converters. / Gradual degradation. / Numerical results. / Power electronic converters. / Reliability assessments. / Reliability model. / Reliability performance. / DC-DC converters.

An efficient STT-Ram last level cache architecture for GPUs

Author

Samavatian, M. H.

Pub. Year

2014

Subjects

GPGPU Application. / GPU. / Retention Time. / STT-RAM. / Cache memory. / Computer aided design. / Program processors. / Data retention time. / Last-level caches. / Low-power characteristics. / Processing core. / Write operations. / Random access storage.

Architecting the last-level cache for GPUs using STT-RAM technology

Author

Samavatian, M. H.

Pub. Year

2015

Subjects

GPGPU application. / GPU. / Retention time. / STT-RAM. / Cache memory. / Memory architecture. / Microprocessor chips. / Program processors. / Dynamic threshold. / Last-level caches. / Low-power characteristics. / Search mechanism. / Stt rams. / Write operations. / Random access storage.

Development of a high-gain step-up dc/dc power converter with magnetic coupling for low-voltage renewable energy

Author

Du, R.

Publisher

Institute of Electrical and Electronics Engineers Inc,

Pub. Year

2023

Subjects

DC/DC converter. / Elevated gain. / Low input current. / Magnetically coupled.