Filippo Federici Canova
Atomic and Molecular Physics, and Optics · 2012–2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Atomic and Molecular Physics, and Optics — 18 citations into it
Whom Filippo Federici Canova trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Filippo Federici Canova's perspective
Ordered by how strongly the researchers Filippo Federici Canova trusts endorse each paper. Same corpus, a different order for every researcher.
- Visualizing Data using t-SNE
- Scikit-learn: Machine Learning in Python
- Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
- Self-Consistent Equations Including Exchange and Correlation Effects
- General purpose molecular dynamics simulations fully implemented on graphics processing units (Journal of Computational Physics)
- Quantum-chemical insights from deep tensor neural networks
- Daubechies wavelets as a basis set for density functional pseudopotential calculations. (Journal of Chemical Physics)
- Learning Invariant Representations of Molecules for Atomization Energy Prediction
- QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials (Journal of Physics: Condensed Matter)
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Their papers
- DScribe: Library of Descriptors for Machine Learning in Materials Science (2019) — 748 citations
- Computational Physics on Graphics Processing Units (2012) — 25 citations