Rocco Meli
Materials Chemistry · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 10 citations into it
- Artificial Intelligence — 7 citations into it
Whom Rocco Meli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Rocco Meli overall
Papers from Rocco Meli's perspective
Ordered by how strongly the researchers Rocco Meli trusts endorse each paper. Same corpus, a different order for every researcher.
- Open Babel: An open chemical toolbox
- AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
- The Hungarian method for the assignment problem
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Three-Dimensional Convolutional Neural Networks and a Cross-Docked Data Set for Structure-Based Drug Design
- The NumPy Array: A Structure for Efficient Numerical Computation
- Exploring Network Structure, Dynamics, and Function using NetworkX
- Pro Git (Apress)
- Advanced Linear Algebra
- UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations
Their papers
- GNINA 1.0: molecular docking with deep learning (2021) — 765 citations
- spyrmsd: symmetry-corrected RMSD calculations in Python (2020) — 99 citations