J. Brandstetter

Johannes Kepler University of Linz — Austria

Physics and Astronomy · Physical Sciences

82h-index28.8kcitations607works7.22yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Particle physics theoretical and experimental studies(506), High-Energy Particle Collisions Research(450), Quantum Chromodynamics and Particle Interactions(285), Particle Detector Development and Performance(80), Dark Matter and Cosmic Phenomena(68)

Publications564 total

VN-EGNN: E(3)- and SE(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Journal of Cheminformatics·2025· 4 citedOpen Access
NeuralDEM for real time simulations of industrial particular flows
Communications Physics·2025· 2 citedOpen Access
Towards Multi-Fidelity Scaling Laws of Neural Surrogates in CFD
arXiv (Cornell University)·2025Open Access
AB-UPT for Automotive and Aerospace Applications
arXiv (Cornell University)·2025Open Access
PAINT: Parallel-in-time Neural Twins for Dynamical System Reconstruction
arXiv (Cornell University)·2025Open Access
GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
arXiv (Cornell University)·2025Open Access
Neural operator surrogate models of plasma edge simulations: feasibility and data efficiency
Nuclear Fusion·2025Open Access
Towards Scientific Machine Learning for Granular Material Simulations: Challenges and Opportunities
Archives of Computational Methods in Engineering·2025· 2 citedOpen Access
Einstein Fields: A Neural Perspective To Computational General Relativity
arXiv (Cornell University)·2025Open Access
Understanding the Career Transition of Refugees: Career Dynamics of Highly Skilled Ukrainians
Academy of Management Proceedings·2025
SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts
arXiv (Cornell University)·2025Open Access
A foundation model for the Earth system
Nature·2025· 75 citedOpen Access
Towards scientific machine learning for granular material simulations -- challenges and opportunities
arXiv (Cornell University)·2025Open Access
Shape Generation via Weight Space Learning
arXiv (Cornell University)·2025Open Access
Diverse Topology Optimization using Modulated Neural Fields
arXiv (Cornell University)·2025· 1 citedOpen Access
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
arXiv (Cornell University)·2025Open Access
AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers
arXiv (Cornell University)·2025· 1 citedOpen Access
5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence
arXiv (Cornell University)·2025· 1 citedOpen Access
A multidimensional holistic sustainability model for production systems
Production & Manufacturing Research·2024· 3 citedOpen Access
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows
arXiv (Cornell University)·2024Open Access
page 1 of 29Next →

Frequent Co-authors

E. Asilar(47), T. Bergauer(47), M. Dragicevic(47), I. Krätschmer(47), J. Schieck(47), W. Waltenberger(47), C.-E. Wulz(47), X. Janssen(47), F. Blekman(47), J. D’Hondt(47), S. Tavernier(47), S. Abu Zeid(46), M. Gul(46), L. Moreels(45), J. Erö(43), I. Mikulec(42), P. Van Mechelen(42), W. Van Doninck(42), M. Flechl(41), J. Suarez Gonzalez(41)