Stefanos Papanikolaou

According to our database, Stefanos Papanikolaou authored at least 8 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Forecasting Research Trends Using Knowledge Graphs and Large Language Models.

Maciej Tomczak, Yang Jeong Park, Chia-Wei Hsu, Payden Brown, Dario Massa, Piotr Sankowski, Ju Li, Stefanos Papanikolaou

Adv. Intell. Syst., January, 2026

2025

Efficient autoencoder pipeline for discovering high entropy alloys with molecular dynamics data.

Amirhossein D. Naghdi, Grzegorz Kaszuba, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski

Mach. Learn. Sci. Technol., 2025

2024

In-Context Learning of Physical Properties: Few-Shot Adaptation to Out-of-Distribution Molecular Graphs.

Grzegorz Kaszuba, Amirhossein D. Naghdi, Dario Massa, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski

CoRR, 2024

2023

Substitutional Alloying Using Crystal Graph Neural Networks.

Dario Massa, Daniel Cieslinski, Amirhossein Naghdi, Stefanos Papanikolaou

CoRR, 2023

2021

Direct detection of plasticity onset through total-strain profile evolution.

Stefanos Papanikolaou, Mikko J. Alava

CoRR, 2021

2019

Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics.

Zijiang Yang, Reda Al-Bahrani, Andrew C. E. Reid, Stefanos Papanikolaou, Surya R. Kalidindi, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal

Proceedings of the International Joint Conference on Neural Networks, 2019

2017

Learning crystal plasticity using digital image correlation: Examples from discrete dislocation dynamics.

Stefanos Papanikolaou, Michail Tzimas, Hengxu Song, Andrew C. E. Reid, Stephen A. Langer

CoRR, 2017

2012

Is Dislocation Flow Turbulent in Deformed Crystals?

Woosong Choi, Yong Chen, Stefanos Papanikolaou, James P. Sethna

Comput. Sci. Eng., 2012