Shape-Constrained Bayesian Active Learning of Self-Limiting Saturation Curves

arXiv:2606.26577 · cond-mat.mtrl-sci, physics.chem-ph, physics.data-an, q-bio.QM · Submitted 2026-06-25 · Read on arXiv

cond-mat.mtrl-sci, physics.chem-ph, physics.data-an, q-bio.QM

Submitted: 2026-06-25

Updated: 2026-10-16

Terminology

• Accuracy — 1× in this paper · explained in 1 episode
• Active Learning — 1× in this paper · explained in 6 episodes

Related papers

• Mode-selective electron-phonon coupling drives charge density waves in the kagome metals YRu 3 Si 2 and LaRu 3 Si 2
• Restoring the Surface Magnetic Gap in MnBi 2 Te 4
• ATLAS: A Foundation Neural Sampler for Amorphous Materials
• A Generalizable Machine Learning Framework for Half-Heusler Thermoelectrics
• Nonlinear dynamics in magnonic Fabry-P' e rot resonators: Low-power neuron-like activation and transmission suppression
• AES-Debye: an Accurate, Efficient, and Scalable Engine for Debye Scattering Calculations