{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10546243","patent":{"patent_number":"US-10546243","title":"Predicting particle size distribution and particle morphology","assignee":null,"inventors":[],"filing_date":"2018-09-10T00:00:00.000Z","publication_date":"2020-01-28T00:00:00.000Z","cpc_codes":["G06N","G01N","G06N","G06N","G06N","G06N","G01N"],"num_claims":20,"abstract":"This disclosure relates to a method for estimating a particle size distribution (PSD) and a morphology for a set of particles. A computer system receives a plurality of chord length distributions (CLDs) of different types for a set of particles. The computer system then estimates a morphology for the set of particles based on the plurality of received CLDs. The computer system also identifies a plurality of descriptors of the plurality of CLDs for the set of particles based on the plurality of received CLDs. The computer system then estimates metrics for the PSD for the set of particles based on the plurality of identified CLD descriptors. Based on the estimated PSD metrics for the set of particles, the computer system generates an estimate of the PSD for the set of particles. Finally, the computer system outputs the estimated morphology and the estimated PSD for the set of particles."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Predicting particle size distribution and particle morphology","description":"This disclosure relates to a method for estimating a particle size distribution (PSD) and a morphology for a set of particles. A computer system receives a plurality of chord length distributions (CLD","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10546243","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-10546243","citation_suggestion":"Patentable. \"Predicting particle size distribution and particle morphology\" (US-10546243). https://patentable.app/patents/US-10546243","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10546243","json":"https://patentable.app/api/llm-context/US-10546243","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T01:07:12.964Z"}