Machine learning models for quantum chemistry struggle with the "electron correlation problem." Sinanoglu’s non-empirical methods for correlation energy are being rediscovered as training data for neural networks. Several preprints on arXiv (2023-2024) explicitly cite Sinanoglu’s cluster expansion theory as a benchmark.
Today, Google Scholar serves as a living archive for his brilliance. By filtering searches for his name with the "new" or "since [Year]" parameters, academics uncover a steady stream of newly published papers, dissertations, and textbook chapters that cite his foundational formulas. Sinanoğlu's profile is not merely a historical record; it is a highly active node in the global scientific citation network. oktay sinanoglu google scholar new
How to find “new” items quickly
Are you tracking a different Turkish scientist on Google Scholar? Let us know in the comments below which historical figure deserves a "new" look. Machine learning models for quantum chemistry struggle with
Go to scholar.google.com and type: Oktay Sinanoglu (use the Turkish character 'ğ' or just 'g'). By filtering searches for his name with the
If you are looking for "new" data on Google Scholar , you won't find new papers authored by Sinanoğlu himself, but rather a surge in and posthumous legacy analysis .