Projects: pypi: sumo
https://packages.ecosyste.ms/registries/pypi.org/packages/sumo
Heavy weight plotting tools for ab initio solid-state calculations
36 versions
Latest release: over 2 years ago
3 dependent packages
1,001 downloads last month
Enhanced Analysis
Educational Contributors:
keith.butler@stfc.ac.uk
uccazxi@login02.grace.ucl.ac.uk
arthur.youd.13@ucl.ac.uk
b.j.morgan@bath.ac.uk
benjamin.williamson.10@ucl.ac.uk
christopher.savory.14@ucl.ac.uk
zcqskbs@ucl.ac.uk
uccazxi@login01.grace.ucl.ac.uk
ethan.rubinstein.13@ucl.ac.uk
Repository Activity:
Repository Owner:
Scanlon Materials Theory Group (organization)
README Analysis:
DOI Found
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+180
Educational commit emails
9 contributors with educational email addresses -
+16
Science terms in README
8 scientific terms found in README -
+30
DOI references
3 DOI references found in README
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning sumo 1
10.1002/chem.202003129
Surface Engineering Strategy Using Urea To Improve the Rate Performance of Na<sub>2</sub>Ti<sub>3</sub>O<sub>7</sub> in Na‐Ion BatteriesCited by: 13
Author(s): Silvana Costa, Yong Seok Choi, Alistair J. Fielding, Andrew J. Naylor, John M. Griffin, Zdeněk Sofer, David O. Scanlon, Nuria Tapia‐Ruiz
Software Mentions: 1
Published: about 5 years ago