Automated Author Profile

Hegadekatte, Vishwanath

Novelis Global Research & Technology Center, Kennesaw, GA 30144

Current S-Index

2.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

88.5%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents

Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help accelerate the discovery of new alloys. We present two datasets: 1) chemical composition, and 2) mechanical properties for predominantly wrought aluminum alloys. The first dataset contains 14,884 entries on aluminum alloy compositions extracted from academic literature and US patents using text processing techniques, including 550 wrought aluminum alloys which are already registered with the Aluminum Association. The second dataset contains 1,278 entries on mechanical properties for aluminum alloys, where each entry is associated with a particular wrought series designation, extracted from tables in academic literature.

Authors

  • Pfeiffer, Olivia P. ;
  • Liu, Haihao ;
  • Montanelli, Luca ;
  • Latypov, Marat I. ;
  • Sen, Fatih G. ;
  • Hegadekatte, Vishwanath ;
  • Olivetti, Elsa A. ;
  • Homer, Eric R.
0 Citations0 Mentions88% FAIR0.5 Dataset Index
10.24435/materialscloud:ac-c22022

Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents

Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help accelerate the discovery of new alloys. We present two datasets: 1) chemical composition, and 2) mechanical properties for predominantly wrought aluminum alloys. The first dataset contains 14,884 entries on aluminum alloy compositions extracted from academic literature and US patents using text processing techniques, including 550 wrought aluminum alloys which are already registered with the Aluminum Association. The second dataset contains 1,278 entries on mechanical properties for aluminum alloys, where each entry is associated with a particular wrought series designation, extracted from tables in academic literature.

Authors

  • Pfeiffer, Olivia P. ;
  • Liu, Haihao ;
  • Montanelli, Luca ;
  • Latypov, Marat I. ;
  • Sen, Fatih G. ;
  • Hegadekatte, Vishwanath ;
  • Olivetti, Elsa A. ;
  • Homer, Eric R.
0 Citations0 Mentions88% FAIR0.5 Dataset Index
10.24435/materialscloud:sq-am2022

Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents

Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help accelerate the discovery of new alloys. We present two datasets: 1) chemical composition, and 2) mechanical properties for predominantly wrought aluminum alloys. The first dataset contains 14,884 entries on aluminum alloy compositions extracted from academic literature and US patents using text processing techniques, including 550 wrought aluminum alloys which are already registered with the Aluminum Association. The second dataset contains 1,278 entries on mechanical properties for aluminum alloys, where each entry is associated with a particular wrought series designation, extracted from tables in academic literature.

Authors

  • Pfeiffer, Olivia P. ;
  • Liu, Haihao ;
  • Montanelli, Luca ;
  • Latypov, Marat I. ;
  • Sen, Fatih G. ;
  • Hegadekatte, Vishwanath ;
  • Olivetti, Elsa A. ;
  • Homer, Eric R.
0 Citations0 Mentions88% FAIR0.5 Dataset Index
10.24435/materialscloud:tb-302021

Aluminum alloy compositions and properties extracted from a corpus of scientific manuscripts and US patents

Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help accelerate the discovery of new alloys. We present two datasets: 1) chemical composition, and 2) mechanical properties for predominantly wrought aluminum alloys. The first dataset contains 13,358 entries on aluminum alloy compositions extracted from academic literature and US patents using text processing techniques, in addition to 93 wrought aluminum alloys which are already registered with the Aluminum Association. The second dataset contains 1,268 entries on mechanical properties for aluminum alloys, where each entry is associated with a particular wrought series designation, extracted from tables in academic literature.

Authors

  • Pfeiffer, Olivia P. ;
  • Liu, Haihao ;
  • Montanelli, Luca ;
  • Latypov, Marat I. ;
  • Sen, Fatih G. ;
  • Hegadekatte, Vishwanath ;
  • Olivetti, Elsa A. ;
  • Homer, Eric R.
1 Citation0 Mentions88% FAIR1.0 Dataset Index
10.24435/materialscloud:vx-fy2021