Grounding AI's learning rate in physical, slow-moving oxygen gradient dynamics for faster, more stable/ energy efficient learning

https://techxplore.com/news/2026-04-memristor-built-oxygen-gradient-stability.html

"memristor abrupt/ unstable state changes difficult for complex AI tasks like reinforcement learning... overcome with 2nd-order memristor using stable, built-in oxygen gradient using molecularly coordinated layer... creates dynamic barrier evolving very slowly (taking >100 seconds to shift) allowing information to process/ integrate longer... reduced required training iterations 68.75% (static environments)/ 35.65% (dynamic environments), -98.1% conductance modulation for highly granular synaptic weights' control"