Suchergebnisse - "Rabczuk, Timon"

Transfer learning enhanced physics informed neural network for phase-field modeling of fracture von Goswami, Somdatta, Anitescu, Cosmin, Chakraborty, Souvik, Rabczuk, Timon

“… •First physic informed neural network for phase field modeling of fracture.•The model treats the problem one level higher on the model hierarchy than classical …”
Volltext

A peridynamics formulation for quasi-static fracture and contact in rock von Rabczuk, Timon, Ren, Huilong

“… We present a dual-horizon peridynamics (DH-PD) formulation for fracture in granular and rock-like materials. In contrast to discrete crack methods such as …”
Volltext

Dual-horizon peridynamics von Ren, Huilong, Zhuang, Xiaoying, Cai, Yongchang, Rabczuk, Timon

“… Summary In this paper, we develop a dual‐horizon peridynamics (DH‐PD) formulation that naturally includes varying horizon sizes and completely solves the …”
Volltext

An efficient optimization approach for designing machine learning models based on genetic algorithm von Hamdia, Khader M., Zhuang, Xiaoying, Rabczuk, Timon

“… Machine learning (ML) methods have shown powerful performance in different application. Nonetheless, designing ML models remains a challenge and requires …”
Volltext

Phase field modeling of brittle compressive-shear fractures in rock-like materials: A new driving force and a hybrid formulation von Zhou, Shuwei, Zhuang, Xiaoying, Rabczuk, Timon

“… Compressive-shear fracture is commonly observed in rock-like materials. However, this fracture type cannot be captured by current phase field models (PFMs), …”
Volltext

Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems von Anitescu, Cosmin, Atroshchenko, Elena, Alajlan, Naif, Rabczuk, Timon

“… We present a method for solving partial differential equations using artificial neural networks and an adaptive collocation strategy. In this procedure, a …”
Volltext

Application of silicene, germanene and stanene for Na or Li ion storage: A theoretical investigation von Mortazavi, Bohayra, Dianat, Arezoo, Cuniberti, Gianaurelio, Rabczuk, Timon

“… [Display omitted] Silicene, germanene and stanene likely to graphene are atomic thick material with interesting properties. We employed first-principles …”
Volltext

A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate von Guo, Hongwei, Zhuang, Xiaoying, Rabczuk, Timon

“… In this paper, a deep collocation method (DCM) for thin plate bending problems is proposed. This method takes advantage of computational graphs and …”
Volltext

Optimizing the neural network hyperparameters utilizing genetic algorithm von Nikbakht, Saeid, Anitescu, Cosmin, Rabczuk, Timon

“… Neural networks (NNs), as one of the most robust and efficient machine learning methods, have been commonly used in solving several problems. However, choosing …”
Volltext

Borophene as an anode material for Ca, Mg, Na or Li ion storage: A first-principle study von Mortazavi, Bohayra, Dianat, Arezoo, Rahaman, Obaidur, Cuniberti, Gianaurelio, Rabczuk, Timon

“… Borophene, the boron atom analogue to graphene, being atomic thick have been just recently experimentally fabricated. In this work, we employ first-principles …”
Volltext

High correlated variables creator machine: Prediction of the compressive strength of concrete von Shishegaran, Aydin, Varaee, Hesam, Rabczuk, Timon, Shishegaran, Gholamreza

“… •High correlated creator variables (HCVCM) uses functions to create stronger inputs.•A case study with two inputs and one output was solved.•The effect of …”
Volltext

Anisotropic mechanical properties and strain tuneable band-gap in single-layer SiP, SiAs, GeP and GeAs von Mortazavi, Bohayra, Rabczuk, Timon

“… Group IV–V-type two-dimensional (2D) materials, such as GeP, GeAs, SiP and SiAs with anisotropic atomic structures, have recently attracted remarkable …”
Volltext

Subdivision-based isogeometric analysis for second order partial differential equations on surfaces von Pan, Qing, Rabczuk, Timon, Yang, Xiaofeng

“… We investigate the isogeometric analysis approach based on the extended Catmull–Clark subdivision for solving the PDEs on surfaces. As a compatible technique …”
Volltext

A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources von Shamshirband, Shahab, Rabczuk, Timon, Chau, Kwok-Wing

“… Nowadays, learning-based modeling system is adopted to establish an accurate prediction model for renewable energy resources. Computational Intelligence (CI) …”
Volltext

Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions von Hamdia, Khader M., Silani, Mohammad, Zhuang, Xiaoying, He, Pengfei, Rabczuk, Timon

“… The fracture energy is a substantial material property that measures the ability of materials to resist crack growth. The reinforcement of the epoxy polymers …”
Volltext

Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media von Guo, Hongwei, Zhuang, Xiaoying, Chen, Pengwan, Alajlan, Naif, Rabczuk, Timon

“… We present a stochastic deep collocation method (DCM) based on neural architecture search (NAS) and transfer learning for heterogeneous porous media. We first …”
Volltext

Isogeometric analysis: An overview and computer implementation aspects von Nguyen, Vinh Phu, Anitescu, Cosmin, Bordas, Stéphane P.A., Rabczuk, Timon

“… Isogeometric analysis (IGA) represents a recently developed technology in computational mechanics that offers the possibility of integrating methods for …”
Volltext

Thermal conductivity and mechanical properties of nitrogenated holey graphene von Mortazavi, Bohayra, Rahaman, Obaidur, Rabczuk, Timon, Pereira, Luiz Felipe C.

“… Nitrogenated holey graphene (NHG), a two-dimensional graphene-derived material with a C2N stoichiometry and evenly distributed holes and nitrogen atoms in its …”
Volltext

A simple and robust three-dimensional cracking-particle method without enrichment von Rabczuk, Timon, Zi, Goangseup, Bordas, Stephane, Nguyen-Xuan, Hung

“… A new robust and efficient approach for modeling discrete cracks in meshfree methods is described. The method is motivated by the cracking-particle method …”
Volltext

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review von Mosavi, Amir, Salimi, Mohsen, Faizollahzadeh Ardabili, Sina, Rabczuk, Timon, Shamshirband, Shahaboddin, Varkonyi-Koczy, Annamaria R.

“… Machine learning (ML) models have been widely used in the modeling, design and prediction in energy systems. During the past two decades, there has been a …”
Volltext