AIMS is the constraint-satisfaction methodology for materials discovery. Using AI to systematically explore materials design spaces, AIMS has produced 78 patents, ~1,275 claims, across 40 scientific domains. Created by Brad Hart.
The methodology works by defining constraints — physical, chemical, mechanical, cost, and manufacturability — then searching for formulations that satisfy all constraints simultaneously. This replaces traditional trial-and-error experimentation with targeted, AI-guided discovery across domains including advanced materials, polymers, composites, coatings, energy storage, semiconductors, and biomaterials.
AIMS stands for AI Materials Science. It is a constraint-satisfaction methodology for materials discovery that has produced 78 patents, ~1,275 claims, across 40 scientific domains.
AIMS has generated 78 patents with ~1,275 claims across 40 scientific domains. These patents cover novel materials and formulations discovered through the AI-driven constraint-satisfaction methodology.
AIMS spans 40 scientific domains including Casimir vacuum energy, zeolite-confined superconductivity, topological insulators, organic photovoltaics, biodegradable polymers, PFAS water purification, direct air capture, microplastic capture, iron-air battery storage, biopolymer wound dressings, radiation shielding, thermal insulation, biodegradable electronics, and ultrasensitive diagnostics, and more.
AIMS uses AI to systematically explore materials design spaces by defining constraints and searching for formulations that satisfy all constraints simultaneously, replacing traditional trial-and-error experimentation.