One of Alchemy’s latest features, Scan and Score, is a powerful tool that can help R&D companies in material sciences accelerate their research and development process. By searching and force-ranking historical experiments based on target performance characteristics and formulating rules, Scan and Score can identify the best matches for new experiments, saving researchers time and resources.

Here are some of the benefits of Scan and Score for R&D companies in material sciences:

  • Reduced development time: Scan and Score can help companies to reduce the time it takes to develop new materials by identifying the best starting point for new experiments. This is because Scan and Score can quickly and easily search through large datasets of historical experiments to identify experiments that have achieved similar results.
  • Improved success rates: Scan and Score can help companies to improve the success rates of their R&D projects by identifying experiments that are most likely to be successful. This is because Scan and Score can take into account a wide range of factors, such as the target performance characteristics of the new material, the type of experiment, and the raw materials used.
  • Reduced costs: Scan and Score can help companies to reduce the costs of their R&D projects by reducing the number of failed experiments. This is because Scan and Score can help companies to avoid repeating experiments that have already been done or that are unlikely to be successful.

How Scan and Score Works

Scan and Score works by first searching through a database of historical experiments. The database can be created by the company itself or by a third-party provider. Once the database has been created, Scan and Score uses a variety of algorithms to force-rank the experiments based on their target performance characteristics and the rules that have been formulated.

The target performance characteristics are the desired properties of the new material, such as its strength, stiffness, weight, and conductivity. The rules are used to further narrow down the search results. For example, a company might have a rule that states that only experiments that have used a certain type of raw material should be considered.

Once the experiments have been ranked, Scan and Score presents the results to the user in a clear and concise format. The user can then select the experiments that they believe are the best matches for their new experiment.

Example of Scan and Score in Action

A company is developing a new type of lightweight and durable metal alloy. The company has a database of historical experiments that contains information on the composition, processing parameters, and performance characteristics of a variety of metal alloys.

The company uses Scan and Score to search the database of historical experiments for experiments that have resulted in metal alloys with similar properties to the new alloy that they are developing. The company also uses Scan and Score to identify experiments that have used raw materials that are readily available and affordable.

Scan and Score quickly identifies a number of experiments that are likely to be successful. The company selects the best matches and uses them as a starting point for their new experiments. As a result, the company is able to develop the new metal alloy in a much shorter period of time than would have been possible without Scan and Score.

Conclusion

Scan and Score is a powerful tool that can help R&D companies in material sciences to accelerate their research and development process, improve their success rates, and reduce their costs. By searching and force-ranking historical experiments based on target performance characteristics and formulating rules, Scan and Score can identify the best matches for new experiments, saving researchers time and resources.

For more information on Alchemy's platform and how it helps accelerate innovation at material science companies, check out our product overview or request a demo today.

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