Rocío Mercado
Materials Chemistry · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 74 citations into it
- Computational Theory and Mathematics — 29 citations into it
- Molecular Biology — 21 citations into it
Whom Rocío Mercado trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Rocío Mercado's perspective
Ordered by how strongly the researchers Rocío Mercado trusts endorse each paper. Same corpus, a different order for every researcher.
- Convolutional Networks on Graphs for Learning Molecular Fingerprints
- Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
- Relational inductive biases, deep learning, and graph networks
- Learning Deep Generative Models of Graphs
- SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules
- Randomized SMILES strings improve the quality of molecular generative models
- Γ and B
- VMD: visual molecular dynamics.
- The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching (Journal of Cheminformatics)
- Planning chemical syntheses with deep neural networks and symbolic AI
Their papers
- The materials genome in action: identifying the performance limits for methane storage (2015) — 264 citations
- What Are the Best Materials To Separate a Xenon/Krypton Mixture? (2015) — 233 citations
- In Silico Design of 2D and 3D Covalent Organic Frameworks for Methane Storage Applications (2018) — 137 citations
- Molecular representations in AI-driven drug discovery: a review and practical guide (2020) — 482 citations