15 citations · 30 across the 12 of their papers we have counts for
3 papers · 1 filter
Aluminum-Based Superconducting Tunnel Junction Sensors for Nuclear Recoil Spectroscopy
Spencer L. Fretwell, Connor Bray, Inwook Kim +31
The BeEST experiment is searching for sub-MeV sterile neutrinos by measuring nuclear recoil energies from the decay of Be implanted into superconducting tunnel junction (STJ) s…
Unsupervised Atomic Data Mining via Multi-Kernel Graph Autoencoders for Machine Learning Force Fields
Hong Sun, Joshua A. Vita, Amit Samanta +1
Constructing a chemically diverse dataset while avoiding sampling bias is critical to training efficient and generalizable force fields. However, in computational chemistry and mat…
Composable and adaptive design of machine learning interatomic potentials guided by Fisher-information analysis
Weishi Wang, Mark K. Transtrum, Vincenzo Lordi +2
An adaptive physics-inspired model design strategy for machine-learning interatomic potentials (MLIPs) is proposed. This strategy relies on iterative reconfigurations of composite…