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Applied JSTAMP/NV Recommended PC

Applied JSTAMP/NV Recommended PC

Press Molding Simulation System JSTAMP/NV Recommended Workstation

JSTAMP/NV is an integrated press forming simulation system that supports the entire process from the conceptual stage of mold design to the final stage. JSTAMP is an integrated analysis system specialized for press forming. It features a triple solver equipped with LS-DYNA, JOH/NIKE, and HYSTAMP, achieving significantly higher accuracy and analysis speed compared to traditional methods (implicit method, one-step method). In particular, it is well-equipped with functions for addressing issues such as crack and wrinkle prevention, springback analysis, measurement, and accommodating anticipated shapes.

  • JSTAMP_1.JPG
  • Structural Analysis
  • Mechanism Analysis
  • Stress Analysis

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Introduction to HPC for various analysis software "Femtet"

Introduction to HPC for various analysis software "Femtet"

For those looking for HPC for Femtet that can analyze electric fields, magnetic fields, electromagnetic waves, heat conduction, stress, fluids, piezoelectricity, and sound waves!

This product is an HPC designed for those who perform analyses of electric fields, magnetic fields, electromagnetic waves, thermal conduction, stress, fluids, piezoelectricity, and sound waves using Femtet, allowing for comfortable analysis.

  • Desktop PC

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Applied AlphaFold2 recommended model

Applied AlphaFold2 recommended model

Recommended model for protein structure prediction software AlphaFold2.

AlphaFold2 is an AI-based protein structure prediction model developed by Google DeepMind that predicts high-accuracy three-dimensional structures from amino acid sequences. Its ability to significantly reduce time and costs compared to traditional X-ray crystallography and cryo-electron microscopy is innovative. It demonstrated overwhelming accuracy in CASP14 in 2020, achieving a GDT score of over 90 for about two-thirds of proteins. By utilizing deep learning and integrating evolutionary information and known structural data, it improves prediction accuracy. In 2021, the source code was made public, making it accessible to anyone. It is being increasingly used in various fields such as drug discovery, elucidation of disease mechanisms, and environmental science.

  • Stress Analysis
  • Structural Analysis
  • Thermo-fluid analysis

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