5 papers
Nuclear Reaction Data for Fission Products Off Stability
Gustavo Nobre, Emanuel Chimanski, Aman Sharma +4
Neutron cross sections on fission products are relevant to a wide range of applications, including nuclear nonproliferation and forensics, spent-fuel assay, reactor burnup and desi…
Learning noisy phase transition dynamics from stochastic partial differential equations
Luning Sun, Van Hai Nguyen, Shusen Liu +2
The non-equilibrium dynamics of mesoscale phase transitions are fundamentally shaped by thermal fluctuations, which not only seed instabilities but actively control kinetic pathway…
Self-supervised and Multi-fidelity Learning for Extended Predictive Soil Spectroscopy
Luning Sun, José L. Safanelli, Jonathan Sanderman +6
We propose a self-supervised machine learning (SSML) framework for multi-fidelity learning and extended predictive soil spectroscopy based on latent space embeddings. A self-superv…
Scalable Autoregressive Deep Surrogates for Dendritic Microstructure Dynamics
Kaihua Ji, Luning Sun, Shusen Liu +2
Microstructural pattern formation, such as dendrite growth, occurs widely in materials and energy systems, significantly influencing material properties and functional performance.…
Interpreting CFD Surrogates through Sparse Autoencoders
Yeping Hu, Shusen Liu
Learning-based surrogate models have become a practical alternative to high-fidelity CFD solvers, but their latent representations remain opaque and hinder adoption in safety-criti…