3 papers
cond-mat.mtrl-sci2025
Attention to Order: Transformers Discover Phase Transitions via Learnability
Åener Ãzönder
Phase transitions mark qualitative reorganizations of collective behavior, yet identifying their boundaries remains challenging whenever analytic solutions are absent and conventio…
cs.LG2025
Machine Learning-Based Manufacturing Cost Prediction from 2D Engineering Drawings via Geometric Features
Ahmet Bilal Arıkan, Åener Ãzönder, Mustafa Taha KoçyiÄit +5
We present an integrated machine learning framework that transforms how manufacturing cost is estimated from 2D engineering drawings. Unlike traditional quotation workflows that re…
cond-mat.mtrl-sci2024
Unveiling the Design Rules for Tunable Emission in Graphene Quantum Dots: A High-Throughput TDDFT and Machine Learning Perspective
Mustafa ÃoÅkun Ãzdemir, Caner Ãnlü, Åener Ãzönder
We present time-dependent density functional theory (TDDFT) calculations of fluorescence emission energies for 284 distinct graphene quantum dots (GQDs) of varying shapes (square,…