William R. Cannon

ChemistryBiochemistry, Genetics and Molecular BiologyMaterials Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Multiscale modeling meets machine learning: What can we learn?”.

Multiscale modeling meets machine learning: What can we learn?

Archives of Computational Methods in Engineering(2020)10.1007/s11831-020-09405-5

N/A

0.880DataRank · unranked

352 citations

Mark Alber, Adrián Buganza Tepole, William R. Cannon, Suvranu De, Dura-Bernal, Salvador +7 more

Machine Learning and Optimal Control of Enzyme Activities to Preserve Solvent Capacity in the Cell

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.06.028035

N/A

0DataRank · unranked

1 citations

Mark Alber, William R. Cannon, Samuel Britton

Probabilistic and Maximum Entropy Modeling of Chemical Reaction Systems: Characteristics and Comparisons to Mass Action Kinetic Models

arXiv (Cornell University)(2023)10.48550/arxiv.2310.06135

N/A

0DataRank · unranked

1 citations

Samuel Britton, Mikahl Banwarth-Kuhn, Mark Alber, William R. Cannon

Probabilistic and maximum entropy modeling of chemical reaction systems: Characteristics and comparisons to mass action kinetic models

The Journal of Chemical Physics(2024)10.1063/5.0180417

N/A

0DataRank · unranked

3 citations

Samuel Britton, Mikahl Banwarth-Kuhn, Mark Alber, William R. Cannon