Emine Kucukbenli
Scholar

Emine Kucukbenli

Google Scholar ID: LUXL9FoAAAAJ
International School for Advanced Studies (SISSA), Trieste
molecular crystal structure predictionab initio NMRab initio van der WaalsDFT+Hubbardmachine learning with DFT
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Citations & Impact
All-time
Citations
10,599
 
H-index
16
 
i10-index
20
 
Publications
20
 
Co-authors
4
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Publications
8 items
Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
2026
Cited
0
Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow
2025
Cited
0
La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
2025
Cited
0
ToxBench: A Binding Affinity Prediction Benchmark with AB-FEP-Calculated Labels for Human Estrogen Receptor Alpha
2025
Cited
0
Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations
2025
Cited
0
Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic Potentials
2025
Cited
0
Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE
2025
Cited
0
Proteina: Scaling Flow-based Protein Structure Generative Models
2025
Cited
0
Resume (English only)
Co-authors
4 total
Co-author 1
Co-author 1
Co-author 2
Co-author 2
Co-author 3
Co-author 3
Co-author 4
Co-author 4