Juliane Mueller

Principal Researcher, Computational science, The National Renewable Energy Laboratory

Joined

May 2025

Names

Juliane Mueller (Preferred)

Emails

****@nrel.gov (Confirmed)

Personal Links

Career & Education History

Principal Researcher

Computational science, The National Renewable Energy Laboratory (nrel.gov)

2022 – Present

Advisors, Relations & Conflicts

PhD Advisor

Christine Shoemaker

2010 – 2012

Expertise

Machine Learning

2018 – Present

Optimization

2003 – Present

Publications

AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems
Luka Grbcic, Juliane Mueller, Wibe Albert de Jong
- CoRR 2025
- Readers: Everyone
Artificial intelligence driven laser parameter search: Inverse design of photonic surfaces using greedy surrogate-based optimization
Luka Grbcic, Minok Park, Juliane Mueller, Vassilia Zorba, Wibe Albert de Jong
- Eng. Appl. Artif. Intell. 2025
- Readers: Everyone
Convergence of Energy and IT Sectors
Cullen E. Bash, John McDonald, Dejan S. Milojicic, Juliane Mueller, Tom Wilson, Ying Zhang
- Computer 2025
- Readers: Everyone
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography
Rey Mendoza, Minh Nguyen, Judith Weng Zhu, Vincent Dumont, Talita Perciano, Juliane Mueller, Vidya Ganapati
- CoRR 2022
- Readers: Everyone
Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations
Vincent Dumont, Xiangyang Ju, Juliane Mueller
- CoRR 2022
- Readers: Everyone
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization
Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day
- MLHPC@SC 2021
- Readers: Everyone

Co-Authors