Leonardo Medrano Sandonas

Materials Chemistry · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 71 citations into it

Whom Leonardo Medrano Sandonas trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. Behler (in Materials Chemistry)

Papers from Leonardo Medrano Sandonas's perspective

Ordered by how strongly the researchers Leonardo Medrano Sandonas trusts endorse each paper. Same corpus, a different order for every researcher.

1. Quantum-chemical insights from deep tensor neural networks
2. Exploring chemical space for drug discovery using the chemical universe database.
3. The Elements of Statistical Learning
4. Deep Learning
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. 970 million druglike small molecules for virtual screening in the chemical universe database GDB-13.
7. Spectral Networks and Locally Connected Networks on Graphs
8. A Chemist's Guide to Density Functional Theory
9. I and J
10. Gradient-based learning applied to document recognition

Their papers

• QM7-X: A comprehensive dataset of quantum-mechanical properties spanning the chemical space of small organic molecules (2020) — 90 citations
• Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations (2022) — 20 citations