Subrata Chakraborty
Mechanics of Materials · with Chowdhury · 2003–2019
A researcher in the Science corpus: 10 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Mechanics of Materials — 64 citations into it
- Statistics and Probability — 48 citations into it; #12,212 of 12,932 by trust here, #6,080 by citations
- Civil and Structural Engineering — 40 citations into it; #5,594 of 6,160 by trust here, #2,715 by citations
- Computational Theory and Mathematics — 17 citations into it
- Statistical and Nonlinear Physics — 8 citations into it
- Artificial Intelligence — 7 citations into it
- Environmental Engineering — 7 citations into it
- AI for Physical Sciences — 5 citations into it
Whom Subrata Chakraborty trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maizar Raissi
- J. Reddy
- Behrooz Keshtegar
- C. Miehé
- Zhan Kang
- Rajib Chowdhury
- G. Em Karniadakis
- Paris Perdikaris
- Xavier Glorot
- Blaise Bourdin
Who trusts Subrata Chakraborty overall
Papers from Subrata Chakraborty's perspective
Ordered by how strongly the researchers Subrata Chakraborty trusts endorse each paper. Same corpus, a different order for every researcher.
- Understanding the difficulty of training deep feedforward neural networks
- A phase field model for rate-independent crack propagation: Robust algorithmic implementation based on operator splits
- Numerical experiments in revisited brittle fracture
- Thermodynamically consistent phase‐field models of fracture: Variational principles and multi‐field FE implementations
- Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
- Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
- The Deep Ritz Method: A Deep Learning-Based Numerical Algorithm for Solving Variational Problems
- A higher-order phase-field model for brittle fracture: Formulation and analysis within the isogeometric analysis framework
- Analysis of functionally graded plates
Their papers
- Size-dependent free flexural vibration behavior of functionally graded nanoplates (2012) — 250 citations
- A semi-analytical framework for structural reliability analysis (2015) — 59 citations
- Reliability analysis of structures by iterative improved response surface method (2016) — 187 citations
- Transfer learning enhanced physics informed neural network for phase-field modeling of fracture (2019) — 829 citations
- A hybrid self-adaptive conjugate first order reliability method for robust structural reliability analysis (2018) — 112 citations
- A Surrogate Based Multi-fidelity Approach for Robust Design Optimization (2017) — 59 citations
- A parametric study on the buckling of functionally graded material plates with internal discontinuities using the partition of unity method (2013) — 63 citations
- Probabilistic safety analysis of structures under hybrid uncertainty (2007) — 53 citations
- Reliability of linear structures with parameter uncertainty under non-stationary earthquake (2006) — 70 citations
- Direct search for minimum reliability index of earth slopes (2003) — 119 citations