Type
Funder
Country
—
ROR
—
Documents
19
through any edge
Papers
0
authorship edges
Awards made
6
5 grant numbers
Named as funder
19
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Division of Materials Sciences and Engineering has funded
6 awards under 5 distinct grant numbers, across 4 documents. A further 19 documents name it as a funder without a grant number — a weaker claim, counted separately.
Supervised Learning in Physical Networks: From Machine Learning to Learning Machinesgrant DE-FG02-05ER46199 · 2021-05-28Supervised Learning in Physical Networks: From Machine Learning to Learning Machinesgrant DE-SC0020963 · 2021-05-28Study of Overfitting by Machine Learning Methods Using Generalization Equationsgrant DE-AC05-00OR22725 · 2023-06-282311.00170grant DE-SC0020963Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials sciencegrant DE-AC02-05CH11231 · 2022-04-01Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials sciencegrant KCD2S2 · 2022-04-01
6 of 25 funding edges