Topological Surface States 3D-Printed Porous Scaffolds for Selective Ion Sensors

PROBLEM: A printed sensor scaffold can locate biosorbent and a topological conductor in precise pore positions, yet the signal may depend on whether a target ion actually reaches a pore where both are present. Pore geometry, wetting, and functionalisation coverage all shape that meeting point, and a cloud model that ignores placement will treat every printed scaffold as equivalent. Sensor teams need a model that keeps placement explicit.

SOLUTION: IBM Cloud Ideas would provide a cloud model for topological printed sensors that stores pore geometry, functionalisation placement, and surface-state assumptions as separate model inputs. The capability would let designers test how a change in pore placement changes the modelled signal path, while attaching regeneration and reuse accounting to each design. It models placement, not selectivity.

EVIDENCE BASIS: DOCUMENTED as physics — Conducting surface/edge states protected by band topology (Nobel Prize in Physics 2016); catalytic application is REPORTED/emerging; DFT (Kohn–Sham) predicts which surface groups bind which ions; biosorption validation uses batch isotherms (qe = (C0 − Ce)V/m). Source: Nobel Prize in Physics 2016; Hohenberg–Kohn 1964; Kohn–Sham 1965.