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Emine Kucukbenli — most-cited papers & profile · AI for Science
← authors
·
overview
Emine Kucukbenli
9
papers ·
16
citations ·
16
h-index
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Most-cited papers
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery
2024 · 11 citations
Proteina: Scaling Flow-based Protein Structure Generative Models
2025 · 3 citations
La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
2025 · 2 citations
Fold-CP: A Context Parallelism Framework for Biomolecular Modeling
2026
Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
2026
Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations
2025
Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow
2025
Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE
2025
EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants
2024
Top co-authors
Karsten Kreis
· 5
Mario Geiger
· 5
Christian Dallago
· 4
Danny Reidenbach
· 4
Kieran Didi
· 4
Tomas Geffner
· 4
Allan dos Santos Costa
· 3
Arash Vahdat
· 3
Franco Pellegrini
· 3
Zhonglin Cao
· 3
Dejun Lin
· 2
Guoqing Zhou
· 2
Topics
Protein Science
Chemistry
Drug Discovery
Physics ML
Materials
Genomics
Medical AI