Lenz Fiedler

According to our database, Lenz Fiedler authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

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 A. Modine, Aidan P. Thompson, Sivasankaran Rajamanickam

Comput. Phys. Commun., 2025

2024

Development and Application of Scalable Density Functional Theory Machine Learning Models

Lenz Fiedler

PhD thesis, 2024

2022

Training-free hyperparameter optimization of neural networks for electronic structures in matter.

Lenz Fiedler, Nils Hoffmann, Parvez Mohammed, Gabriel A. Popoola, Tamar Yovell, Vladyslav Oles, J. Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi

Mach. Learn. Sci. Technol., December, 2022

Scripts and Models for "Predicting electronic structures at any length scale with machine learning".

Lenz Fiedler, Steve Schmerler, Normand A. Modine, Dayton J. Vogel, Gabriel A. Popoola, Aidan P. Thompson, Sivasankaran Rajamanickam, Attila Cangi

Dataset, September, 2022

2021

Dataset and scripts for A Deep Dive into Machine Learning Density Functional Theory for Materials Science and Chemistry.

Lenz Fiedler, Karan Shah, Attila Cangi, Michael Bussmann

Dataset, October, 2021

Dataset and scripts for A Deep Dive into Machine Learning Density Functional Theory for Materials Science and Chemistry.

Lenz Fiedler, Karan Shah, Attila Cangi, Michael Bussmann

Dataset, October, 2021

2019

Interpretation and Automatic Generation of Fermi-Orbital Descriptors.

Sebastian Schwalbe, Kai Trepte, Lenz Fiedler, Alex I. Johnson, Jakob Kraus, Torsten Hahn, Juan E. Peralta, Koblar A. Jackson, Jens Kortus

J. Comput. Chem., 2019