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‪Doğuhan Sarıtürk

Observed names: D. Sarıtürk, Doğuhan Sarıtürk, Sariturk, Doguhan, Sarıtürk, Doguhan, Sarıtürk, Doğuhan
ORCID: 0000-0003-0008-1165
Observed ORCID: 0000-0003-0008-1165
OpenAlex ID: A5114987515
Accelerating CALPHAD-based phase diagram predictions in complex alloys using universal machine learning potentials: Opportunities and challenges
2025 · Siya Zhu, Doğuhan Sarıtürk, et al. · Acta Materialia · 76
Machine learning potentials for alloys: a detailed workflow to predict phase diagrams and benchmark accuracy
2025 · Siya Zhu, Doğuhan Sarıtürk, et al. · npj Computational Materials · 16
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Construction and Tuning of CALPHAD Models Using Machine-Learned Interatomic Potentials and Experimental Data: A Case Study of the Pt–W System
2025 · Courtney Kunselman, Siya Zhu, et al. · Journal of Phase Equilibria and Diffusion · 3
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PhaseForge
2025 · Sarıtürk, Doğuhan, Zhu, Siya, et al. · Zenodo (CERN European Organization for Nuclear Research) · 2
A Molecular Dynamics Study on the Local Structure of Al90Sm10 Marginal Metallic Glass and Liquid
2023 · D. Sarıtürk, Y. E. Kalay · Metallurgical and Materials Transactions A · 2
HEACalculator: An Open-Source Python Tool for Thermodynamic Property Calculation and Solid Solution Prediction in High-Entropy Alloys
2026 · Sarıtürk, Doğuhan, Kalay, Yunus Eren, et al. · arXiv (Cornell University) · 1
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PhaseForgePlus
2025 · Sarıtürk, Doğuhan, Kunselman, Courtney, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
RHEA-MOBO: v0.1.0
2026 · Islam, Md Shafiqul, Sarıtürk, Doğuhan · Zenodo (CERN European Organization for Nuclear Research)
From MLIPs to Microstructure: A High-Throughput Computational Framework to Design Spinodal Alloys in High-Dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions
2026 · Kunselman, Courtney, Sariturk, Doguhan, et al. · arXiv (Cornell University)
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akaitools: A Python package for parsing and analyzing AkaiKKR electronic structure calculations
2026 · Sarıtürk, Doğuhan, Arróyave, Raymundo · arXiv (Cornell University)
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datascribe_api: Enabling Data-Driven Materials Discovery with DataScribe
2026 · Sarıtürk, Doğuhan, Arróyave, Raymundo, et al. · arXiv (Cornell University)
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akaitools
2026 · Sarıtürk, Doğuhan · Zenodo (CERN European Organization for Nuclear Research)
eagar-tsai
2026 · Sarıtürk, Doğuhan, Vela, Brent · Zenodo (CERN European Organization for Nuclear Research)
DataScribe: An AI-Native, Policy-Aligned Web Platform for Multi-Objective Materials Design and Discovery
2026 · Singh, Divyanshu, Sarıtürk, Doguhan, et al. · arXiv (Cornell University)
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From MLIPs to Microstructure: A High-throughput Computational Framework to Design Spinodal Alloys in High-dimensional Composition Spaces via Analytic Derivatives of CALPHAD Model Predictions
2026 · Courtney Kunselman, Doğuhan Sarıtürk, et al. · SSRN Electronic Journal
Bayesian Multi-Objective Co-Optimization of Performance and Manufacturability in BCC–B2 Refractory High Entropy Alloys
2026 · Md Shafiqul Islam, Doğuhan Sarıtürk, et al. · SSRN Electronic Journal
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Publisher Correction: Machine learning potentials for alloys: a detailed workflow to predict phase diagrams and benchmark accuracy
2025 · Siya Zhu, Doğuhan Sarıtürk, et al. · npj Computational Materials
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Accelerating CALPHAD-Based Phase Diagram Predictions in Complex Alloys Using Universal Machine Learning Potentials: Opportunities and Challenges
2024 · Siya Zhu, Doğuhan Sarıtürk, et al. · SSRN Electronic Journal
Local Structure of the Al-RE Marginal Metallic Glasses Studied by Molecular Dynamics Simulation
2021 · Sarıtürk, Doğuhan, Ulucan, Tolga Han, et al. · OpenMETU (Middle East Technical University)
Works count: 23
Citation count: 110
H-index: 3
I10-index: 2
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