Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
10Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2189306254
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Selim Dogru (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Innovation Output: 1 paper
- Output Quality: 1 paper
- Task Completion Time: 1 paper
- Error Rate: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Task Allocation: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| GPU acceleration plus AI slashes computational lithography runtimes and improves wafer outcomes: cuLitho reports a 57x speedup and IMEC silicon tests show a 35% wider process window and 19% lower edge placement error; the approach could expand feasible mask and high-NA EUV design space and reduce compute needs for chip manufacturing.arxiv | Selim Dogru provider id |
2026-01-27 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.