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P. Manganaris

3 papers hereh-index 9253 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci3

identity via Semantic Scholar / OpenAlex

most citedAccelerating Defect Predictions in Semiconductors Using Graph Neural Networks

2 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

cond-mat.mtrl-sci2025

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy

Utkarsh Pratiush, Austin Houston, Kamyar Barakati +70

Microscopy is a primary source of information on materials structure and functionality at nanometer and atomic scales. The data generated is often well-structured, enriched with me…

cond-mat.mtrl-sci2023★ 1 cited

Discovering Novel Halide Perovskite Alloys using Multi-Fidelity Machine Learning and Genetic Algorithm

Jiaqi Yang, Panayotis Manganaris, Arun Mannodi-Kanakkithodi

Expanding the pool of stable halide perovskites with attractive optoelectronic properties is crucial to addressing current limitations in their performance as photovoltaic (PV) abs…

cond-mat.mtrl-sci2023★ 2 cited

Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks

Md Habibur Rahman, Prince Gollapalli, Panayotis Manganaris +5

Here, we develop a framework for the prediction and screening of native defects and functional impurities in a chemical space of Group IV, III-V, and II-VI zinc blende (ZB) semicon…

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