Francesc Verdugo
Statistical and Nonlinear Physics · 2021
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 8 citations into it; #8,775 of 10,127 by trust here, #6,727 by citations
- Computational Theory and Mathematics — 5 citations into it
Whom Francesc Verdugo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Francesc Verdugo overall
Papers from Francesc Verdugo's perspective
Ordered by how strongly the researchers Francesc Verdugo trusts endorse each paper. Same corpus, a different order for every researcher.
- fPINNs: Fractional Physics-Informed Neural Networks
- DeepXDE: A Deep Learning Library for Solving Differential Equations
- A Limited Memory Algorithm for Bound Constrained Optimization
- Physics-Informed Neural Networks for Cardiac Activation Mapping
- Topology optimization for nano‐photonics
- Spectral/hp Element Methods for Computational Fluid Dynamics
- Numerical optimization
- Filters in topology optimization based on Helmholtz‐type differential equations
- Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
- Physics-informed neural networks for inverse problems in nano-optics and metamaterials.
Their papers
- Physics-informed neural networks with hard constraints for inverse design (2021) — 806 citations