Owen Madin

Also affiliated with University of Colorado System

Biochemistry, Genetics and Molecular BiologyMaterials ScienceChemistryPhysics and AstronomyEngineering

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 9 papers. Top paper: “Improving force field accuracy by training against condensed phase mixture properties”.

Improving force field accuracy by training against condensed phase mixture properties

ChemRxiv(2021)10.26434/chemrxiv-2021-gsgr4-v2

N/A

0DataRank · unranked

3 citations

Owen Madin, David L. Mobley, Lee‐Ping Wang, John D. Chodera, Michael R. Shirts +1 more

Improving force field accuracy by training against condensed phase mixture properties

ChemRxiv(2021)10.26434/chemrxiv-2021-gsgr4

N/A

0DataRank · unranked

2 citations

Owen Madin, David L. Mobley, Lee‐Ping Wang, John D. Chodera, Michael R. Shirts +1 more

Development and Benchmarking of Open Force Field 2.0.0 — the Sage Small Molecule Force Field

ChemRxiv(2022)10.26434/chemrxiv-2022-n2z1c

N/A

0DataRank · unranked

9 citations

Pavan Kumar Behara, Owen Madin, David F. Hahn, Hyesu Jang, Vytautas Gapsys +14 more

Improving force field accuracy by training against condensed phase mixture properties

ChemRxiv(2022)10.26434/chemrxiv-2021-gsgr4-v3

N/A

0DataRank · unranked

7 citations

Owen Madin, David L. Mobley, Lee‐Ping Wang, John D. Chodera, Michael R. Shirts +1 more

Using physical property surrogate models to perform multi-fidelity global optimization of force field parameters

ChemRxiv(2022)10.26434/chemrxiv-2022-7bmzv

N/A

0DataRank · unranked

1 citations

Michael R. Shirts, Owen Madin

Using physical property surrogate models to perform multi-fidelity global optimization of force field parameters

ChemRxiv(2022)10.26434/chemrxiv-2022-7bmzv-v2

N/A

0DataRank · unranked

1 citations

Michael R. Shirts, Owen Madin

Development and Benchmarking of Open Force Field 2.0.0: The Sage Small Molecule Force Field

Journal of Chemical Theory and Computation(2023)10.1021/acs.jctc.3c00039

N/A

0DataRank · unranked

193 citations

Pavan Kumar Behara, Owen Madin, David F. Hahn, Hyesu Jang, Vytautas Gapsys +14 more

Using physical property surrogate models to perform accelerated multi-fidelity optimization of force field parameters

Digital Discovery(2023)10.1039/d2dd00138a

N/A

0DataRank · unranked

14 citations

Michael R. Shirts, Owen Madin

Development and Benchmarking of Open Force Field 2.0.0 — the Sage Small Molecule Force Field

ChemRxiv(2023)10.26434/chemrxiv-2022-n2z1c-v2

N/A

0DataRank · unranked

21 citations

Pavan Kumar Behara, Owen Madin, David F. Hahn, Hyesu Jang, Vytautas Gapsys +14 more