Sudhin Datta: 2015 Charles Goodyear Medalist
Bibliographic record
Abstract
Dr. Sudhin Datta was born in 1951 to a family of chemists in Boston, MA. He began his education in India, earning an undergraduate degree in chemistry from the Indian Institute of Technology at Kanpur in 1974 as the valedictorian. He graduated with a Ph.D. in organometallic chemistry from Harvard University in 1978. After postdoctoral appointments at the University of Toronto and at the University of Chicago he joined the Research and Technology department of the Elastomers business of the Exxon Chemical Co. in Linden, NJ in 1981. During the intervening 33 years he has always been associated with the research and development of polyolefin elastomers at ExxonMobil Chemical Co., based since 1994 in Baytown, TX.Dr. Datta receives this recognition for his invention and development over a span of 15 years of propylene-predominant elastomers with meso propylene crystallinity. These elastomers are now among the most successful commercial polyolefins, owing to their outstanding ability to be processed via high-throughput plastics fabrication processes such as those used for nonwoven fabrics. The gains he realized in processability have enabled a much wider range of applications to benefit from the exceptional resilience and recovery exhibited by elastomeric materials.Dr. Datta has dedicated his career to developing the chemistry, physics and applications of polyolefin elastomers. He coauthored a book on “Polymeric Compatibilizers” (1996), 12 review chapters on aspects of elastomers, and he is the inventor of 108 granted US patents. His work on polyolefin elastomers has been honored in both 2011 and in 2014 by ExxonMobil Chemical Outstanding Patent recognition. In addition, he has been honored with the Century Award by ExxonMobil Chemical for having obtained more than 100 granted US patents. He has previously been awarded the Best Paper award in 2002, 2003 and 2006 by both the Rubber Division of ACS and the ANTEC of SPE. In addition he has numerous other research and technology awards from ExxonMobil Chemical. He has been a mentor to 10 young scientists around the world.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.071 | 0.045 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".