9 citations · 16 across the 10 of their papers we have counts for
10 papers
Benchmarking bandgap prediction in semiconductors under experimental and realistic evaluation settings
Haolin Wang, Xianyuan Liu, Anna Jungbluth +3
Accurate bandgap prediction is crucial for semiconductor applications, yet machine learning models trained on computational data often struggle to generalize to experimental bandga…
HiSAXy: A fast methodology for solar wind structure identification in millions of time series
Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth +8
We present a hybridized unsupervised clustering algorithm Hisaxy as a novel way to identify frequently occurring magnetic structures embedded in the interplanetary magnetic field (…
CIPHER: Scalable Time Series Analysis for Physical Sciences with Application to Solar Wind Phenomena
Jasmine R. Kobayashi, Daniela Martin, Valmir P Moraes Filho +12
Labeling or classifying time series is a persistent challenge in the physical sciences, where expert annotations are scarce, costly, and often inconsistent. Yet robust labeling is…
Image calibration between the Extreme Ultraviolet Imagers on Solar Orbiter and the Solar Dynamics Observatory
Christoph Schirninger, Robert Jarolim, Astrid M. Veronig +6
To study and monitor the Sun and its atmosphere, various space missions have been launched in the past decades. With the rapid improvement in technology and different mission requi…
SuNeRF: 3D reconstruction of the solar EUV corona using Neural Radiance Fields
Robert Jarolim, Benoit Tremblay, Andrés Muñoz-Jaramillo +8
To understand its evolution and the effects of its eruptive events, the Sun is permanently monitored by multiple satellite missions. The optically-thin emission of the solar plasma…
SuNeRF: Validation of a 3D Global Reconstruction of the Solar Corona Using Simulated EUV Images
Kyriaki-Margarita Bintsi, Robert Jarolim, Benoit Tremblay +8
Extreme Ultraviolet (EUV) light emitted by the Sun impacts satellite operations and communications and affects the habitability of planets. Currently, EUV-observing instruments are…
Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures
Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth +9
The solar wind consists of charged particles ejected from the Sun into interplanetary space and towards Earth. Understanding the magnetic field of the solar wind is crucial for pre…
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks
J. Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan +6
Magnetic activity in stars manifests as dark spots on their surfaces that modulate the brightness observed by telescopes. These light curves contain important information on stella…
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses
Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney +7
Breakthroughs in our understanding of physical phenomena have traditionally followed improvements in instrumentation. Studies of the magnetic field of the Sun, and its influence on…
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties
Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth +7
Machine learning techniques have been successfully applied to super-resolution tasks on natural images where visually pleasing results are sufficient. However in many scientific do…