Scholar
Can Polat
Google Scholar ID: ZtdUrpsAAAAJ
Texas A&M University
AI for Materials Science
Computational Materials
AI for Science
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Citations & Impact
All-time
Citations
74
H-index
5
i10-index
2
Publications
17
Co-authors
5
list available
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Publications
8 items
How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science
2026
Cited
0
SCALAR: Quantifying Structural Hallucination, Consistency, and Reasoning Gaps in Materials Foundation Models
2026
Cited
0
C2NP: A Benchmark for Learning Scale-Dependent Geometric Invariances in 3D Materials Generation
2026
Cited
1
QuantumCanvas: A Multimodal Benchmark for Visual Learning of Atomic Interactions
2025
Cited
0
Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning
2025
Cited
0
Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework
2025
Cited
0
xChemAgents: Agentic AI for Explainable Quantum Chemistry
2025
Cited
0
Understanding the Capabilities of Molecular Graph Neural Networks in Materials Science Through Multimodal Learning and Physical Context Encoding
2025
Cited
0
Resume (English only)
Co-authors
5 total
Mustafa Kurban
Ankara University
Hasan Kurban
Hamad Bin Khalifa University
Erchin Serpedin, PhD
Professor, Texas A&M University, Dept. of Electrical and Computer Engineering, College Station, TX
Co-author 4
Tolga Cukur
Bilkent University, Professor of Electrical Engineering
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