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This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
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In structural engineering, the analysis of beams subjected to varying loads is a critical aspect of understanding the behavior and performance of these structural elements. A common scenario involves a beam subjected to a combination of different load distributions.
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Updated: Oct 4, 2025

Finite Element Modelling of a Cellular Electric Microenvironment
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Routescore: Punching the Ticket to More Efficient Materials Development.

Martin Seifrid1,2, Riley J Hickman1,2, Andrés Aguilar-Granda1,2

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Self-driving laboratories accelerate science by integrating automated and manual synthesis. A new protocol, RouteScore, quantifies synthetic costs, optimizing chemical exploration for pharmaceuticals and materials.

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Area of Science:

  • Chemistry
  • Computer Science
  • Materials Science

Background:

  • Automated experimentation platforms, or self-driving laboratories, are crucial for accelerating scientific discovery.
  • Automated synthesis is a significant bottleneck, limiting the chemical space accessible to these platforms.
  • Integrating manual synthesis expands accessible chemical diversity.

Purpose of the Study:

  • To introduce a protocol, RouteScore, for quantifying the cost of combined synthetic routes.
  • To optimize the use of both automated and manual synthesis capabilities.
  • To demonstrate the protocol's utility in structure-oriented and property-oriented optimization problems.

Main Methods:

  • Developed the RouteScore protocol to estimate synthetic costs.
  • Applied RouteScore to determine the most efficient synthetic route for a pharmaceutical.
  • Simulated a self-driving laboratory using RouteScore to identify synthesizable organic laser molecules.

Main Results:

  • RouteScore effectively quantifies the cost of combined synthetic routes.
  • The protocol successfully optimized synthetic routes for a pharmaceutical.
  • Identified easily synthesizable organic laser molecules from a large chemical space using RouteScore.

Conclusions:

  • RouteScore provides a powerful and flexible approach for mixed synthetic planning and optimization.
  • The protocol enables efficient downselection of promising candidates from vast chemical spaces.
  • This method significantly enhances the capabilities of self-driving laboratories.