Cosmin Anitescu
Computational Mechanics · 2012–2020
A researcher in the Science corpus: 12 papers; trusts 65 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 170 citations into it; #3,481 of 10,001 by trust here, #1,745 by citations
- Mechanics of Materials — 144 citations into it; #4,943 of 6,291 by trust here, #1,452 by citations
- Computational Theory and Mathematics — 40 citations into it; #4,709 of 12,182 by trust here, #3,117 by citations
- Statistical and Nonlinear Physics — 33 citations into it
- Computer Graphics and Computer-Aided Design — 32 citations into it
- Civil and Structural Engineering — 27 citations into it
- Mechanical Engineering — 26 citations into it
- Artificial Intelligence — 20 citations into it
Whom Cosmin Anitescu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas J. R. Hughes
- Maizar Raissi
- Timon Rabczuk
- Yuri Bazilevs
- Ted Belytschko
- C. Miehé
- J. Cottrell
- E. Weinan
- George V. Cybenko
- Jia Lu
Who trusts Cosmin Anitescu overall
- Xiaoying Zhuang
- Timon Rabczuk
- Hector Gomez
- Hongwei Guo
- S. Niaki
- Laura De Lorenzis
- Somdatta Goswami
- Frederik Fahrendorf
- Vinh Phu Nguyen
- Yaohua Zang
Papers from Cosmin Anitescu's perspective
Ordered by how strongly the researchers Cosmin Anitescu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Isogeometric structural shape optimization
- Isogeometric Analysis: Toward Integration of CAD and FEA
- Understanding the difficulty of training deep feedforward neural networks
- An Introduction to NURBS: With Historical Perspective
Their papers
- An isogeometric collocation method using superconvergent points (2015) — 134 citations
- Isogeometric analysis: An overview and computer implementation aspects (2012) — 723 citations
- Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems (2019) — 644 citations
- Adaptive fourth-order phase field analysis using deep energy minimization (2020)
- Isogeometric analysis for explicit elastodynamics using a dual-basis diagonal mass formulation (2019) — 51 citations
- An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications (2019) — 1,881 citations
- An explicit phase field method for brittle dynamic fracture (2019) — 295 citations
- Transfer learning enhanced physics informed neural network for phase-field modeling of fracture (2019) — 829 citations
- Recovery-based error estimation and adaptivity using high-order splines over hierarchical T-meshes (2018) — 96 citations
- An isogeometric symmetric Galerkin boundary element method for two-dimensional crack problems (2016) — 101 citations
- Extended isogeometric analysis for material interface problems (2015) — 48 citations
- XLME interpolants, a seamless bridge between XFEM and enriched meshless methods (2014) — 217 citations