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ChemStor: Using Formal Methods To Guarantee Safe Storage and Disposal of Chemicals.

Jason Ott1, Daniel Tan1, Tyson Loveless1

  • 1Department of Computer Science and Engineering, University of California, Riverside, Winston Chung Hall, Room 351, Riverside, California 92521, United States.

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Summary
This summary is machine-generated.

ChemStor, an automated system, mathematically verifies safe chemical storage and disposal. It prevents dangerous chemical combinations by analyzing reactivity and space constraints, ensuring laboratory and industrial safety.

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Area of Science:

  • Computational chemistry and formal methods
  • Chemical safety and risk management
  • Environmental science and regulatory compliance

Background:

  • Improper chemical storage and disposal remain significant safety concerns, leading to incidents despite established guidelines.
  • Existing safety protocols rely on manual adherence, which is prone to human error and oversight.
  • High-profile accidents underscore the need for automated, verifiable solutions in chemical management.

Purpose of the Study:

  • To introduce ChemStor, an open-source computational system for mathematically verifying safe chemical storage and disposal.
  • To develop a system that guarantees safety with respect to prescribed constraints for academic, industrial, and domestic settings.
  • To leverage formal methods for robust chemical management and accident prevention.

Main Methods:

  • ChemStor builds a chemical interaction graph based on EPA reactivity groups to identify potential hazardous combinations.
  • It computes the graph's chromatic number to assign chemicals to containers, ensuring no reactive chemicals share a space.
  • The system encodes these constraints into satisfiability modulo theory (SMT) equations, solved by an industry-standard tool.

Main Results:

  • ChemStor successfully identified safe storage and disposal configurations for ten real-world incidents that previously caused harm.
  • The system demonstrated rapid and accurate analysis, providing verifiable solutions to prevent accidents.
  • For each analyzed incident, ChemStor proposed a safe configuration that would have averted the negative outcome.

Conclusions:

  • ChemStor offers a computationally guaranteed approach to safe chemical storage and disposal, significantly enhancing safety.
  • The system's feasibility is proven through successful analysis of past incidents, highlighting its potential to prevent future accidents.
  • Future integration with emerging technologies like electronic lab notebooks and voice assistants can further expand its protective reach.