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Predictive tools - List of Manufacturers, Suppliers, Companies and Products

Predictive tools Product List

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Processing Hardening Prediction Tool 'HYCRASH'

Fully automated generation of collision model data considering processing analysis!

HYCRASH is a tool that allows for the incorporation of strain hardening through the use of a collision model, without the need to create data for processing analysis by using a one-step method. By utilizing the collision model itself, it calculates the thickness and plastic strain of the pressed material and automatically generates initial conditions for Ansys LS-DYNA. ■ Input is only the model for collision analysis ■ Configuration is limited to specifying the part of the pressed material ■ Automatically executes forming analysis on the specified part ■ Automatically sets the effects of pressing as initial conditions ■ Collision data considering strain hardening is completed

  • Structural Analysis

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Failure Rate Calculation and Reliability Prediction Tool "Prediction"

Support from failure rate calculation to report creation in a seamless manner.

The Reliability Workbench is a tool based on reliability engineering used for evaluating and analyzing reliability and safety in accordance with functional safety. The Prediction module assists in calculating electronic component failure rates based on various handbooks.

  • simulator
  • Other analyses
  • ISO-related consultant

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hERG Inhibition Prediction Tool 'hERG Predictor'

A highly reliable hERG inhibition prediction tool that eliminates cardiotoxicity risks early in drug development!

Optimization of pharmacokinetic and toxicity parameters is an important goal throughout the drug discovery project. The "ADMET Group" applies machine learning techniques to curated datasets to create reliable predictive models. By predicting hERG inhibition using trained models, we can assess the cardiotoxicity risk of candidate compounds. 【Features】 ■ Application of machine learning techniques to curated datasets ■ Creation of reliable predictive models ■ Prediction of hERG inhibition using trained models ■ Ability to assess cardiotoxicity risk of candidate compounds *For more details, please refer to the PDF materials or feel free to contact us.

  • Software (middle, driver, security, etc.)

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