Attila Cangi

Principal Researcher, Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf

Joined

June 2024

Names

Attila Cangi (Preferred)

Emails

****@hzdr.de (Confirmed)

Personal Links

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ORCID

Career & Education History

Principal Researcher

Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf (hzdr.de)

2022 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Scalable machine learning model for energy decomposition analysis in aqueous systems
Hossein Tahmasbi, Michael Beerbaum, Bartosz Brzoza, Attila Cangi, Thomas D. Kühne
- The Journal of Chemical Physics
- Readers: Everyone
Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulations
Attila Cangi, Lenz Fiedler, Bartosz Brzoza, Karan Shah, Timothy J. Callow, Daniel Kotik, Steve Schmerler, Matthew C. Barry, James M. Goff, Andrew Rohskopf, Dayton J. Vogel, Normand Modine, Aidan P. Thompson, Sivasankaran Rajamanickam
- Computer Physics Communications
- Readers: Everyone
Bridging the gap in electronic structure calculations via machine learning
Attila Cangi
- Nature Computational Science
- Readers: Everyone
Deep dive into machine learning density functional theory for materials science and chemistry
Lenz Fiedler, Karan Shah, Michael Bussmann, Attila Cangi
- Physical Review Materials
- Readers: Everyone
Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation
Karan Shah, Patrick Stiller, Nico Hoffmann, Attila Cangi
- Machine Learning for Physical Science Workshop, NeurIPS 2022
- Readers: Everyone
Inverting the Kohn–Sham equations with physics-informed machine learning
Vincent Martinetto, Karan Shah, Aurora Pribram-Jones, Attila Cangi
- Machine Learning Science & Technology
- Readers: Everyone
Machine learning-driven structure prediction for iron hydrides
Hossein Tahmasbi, Kushal Ramakrishna, Mani Lokamani, Attila Cangi
- Physical Review Materials
- Readers: Everyone
Inverting the Kohn–Sham equations with physics-informed machine learning
Vincent Martinetto, Karan Shah, Attila Cangi, Aurora Pribram-Jones
- Machine Learning: Science and Technology
- Readers: Everyone
Machine learning the electronic structure of matter across temperatures
Lenz Fiedler, Normand A. Modine, Kyle D. Miller, Attila Cangi
- Physical Review B
- Readers: Everyone
Predicting electronic structures at any length scale with machine learning
Lenz Fiedler, Normand A. Modine, Steve Schmerler, Dayton J. Vogel, Gabriel A. Popoola, Aidan P. Thompson, Sivasankaran Rajamanickam, Attila Cangi
- npj Computational Materials
- Readers: Everyone

View all 12 publications

Co-Authors

View all 37 co-authors