アプライド Product Lineup

In the automotive industry's collision safety evaluation, accurate analysis of composite materials is essential. To achieve a balance between vehicle lightweighting and safety, it is necessary to predict the behavior of composite materials in detail and conduct optimal design. J-Composites Dynamic PC provides high computational power and stability to address this challenge. By using J-Composites/Form Modeler, it is possible to easily set up complex composite laminate models and export them as input files for LS-DYNA. This allows for more accurate prediction and evaluation of defects such as wrinkles during collisions, contributing to the design of safer vehicles. 【Application Scenarios】 - Automotive collision safety simulations - Component design using composite materials - Vehicle development that balances lightweighting and safety 【Benefits of Implementation】 - Improved collision safety - Streamlined design processes - Reduced product development time

In the automotive industry, weight reduction is essential for improving fuel efficiency and performance. The use of composite materials is an effective means of achieving weight reduction, but predicting material properties poses a challenge. Digimat's operation PC performs material property predictions considering the microstructure of composite materials, supporting product design. 【Application Scenarios】 * Development of automotive parts using composite materials * Optimal design based on material properties * Balancing weight reduction and performance 【Effects of Implementation】 * Optimization of material selection * Streamlining of the design process * Reduction of product development time

J-Composites/Form Modeler is a model creation tool for resin composite press molding analysis. It automatically constructs material models for press molding from various test results, allowing for easy setup of complex composite stacking models through a dedicated user interface, and can export them as input files for LS-DYNA. Additionally, by considering both in-plane and out-of-plane material properties, it more accurately predicts and evaluates defects such as wrinkles that occur during the molding of dry fiber substrates and thermoplastic/thermosetting prepregs.

Digimat is software specialized in composite material simulation. To apply composites in products, predicting the unique physical properties of composites is key. Digimat predicts the material properties of composites from the material properties and microstructural information of the matrix and inclusions. Furthermore, we provide an interface for structural analysis that takes into account the distribution of material properties resulting from the molding process using the predicted material properties. Digimat supports the research and development of new materials and product design using composite materials.

J-OCTA is a multi-scale simulation software that predicts the properties of high-performance materials, such as resins, rubber, nanocomposites, thin films, inks, and batteries, as well as research and development in the life sciences field, including drug discovery and formulation, from atomic scale to micrometer scale on a computer. It can be used as a knowledge discovery tool to understand the mechanisms of complex phenomena that cannot be fully grasped through experiments alone, as well as a data creation tool for informatics.

What is Materials Studio? "Materials Studio" is an integrated software suite for materials science that enables various modeling and simulations, including quantum chemistry, molecular dynamics, and crystal structure analysis. It is utilized in diverse fields such as pharmaceuticals, chemistry, battery materials, polymers, and semiconductors. "A high-end configuration capable of processing large-scale simulations quickly, stably, and safely" In research and development using Materials Studio, this configuration meets high standards for computational performance, reliability, and operational stability. It is particularly suitable for companies and research institutions that require resilience under the demands of long-term projects. - Researchers who frequently conduct large-scale materials simulations (such as CASTEP, DMol, etc.) - Tasks that require high memory and multi-threaded performance, such as molecular dynamics and periodic systems - Industrial applications and collaborative research projects that demand stability and reliability

<Research content using quantum chemistry calculations> - Prediction and analysis of material properties (prediction of stable structures, analysis of electronic states) - Analysis of chemical reactions (transition of energy, calculation of energy amounts) - Development of new materials and substances (design of functional materials, pharmaceutical development, development of new nanomaterials) To those in research and development departments as mentioned above, we introduce HPC for the quantum chemistry calculation software 'BIOVIA TURBOMOLE'.

Here, we introduce recommended models of CPU computing specifications that prioritize price. While "VASP" also supports GPGPU, the official website recommends using GPUs with high double-precision (fp64) performance. The H100 is a representative GPU, but its high cost as a standalone unit, the need for a dedicated GPGPU enclosure, and the requirements for cooling and noise control often lead to limitations in installation locations. Therefore, we have selected more affordable models to make it relatively easier for you to adopt.

Imaris is software for visualizing and analyzing 3D and 4D image data from microscope images. Due to the nature of image processing, a GPU is essential for this task. If the GPU itself heats up, the analysis speed will decrease, so this model equipped with a dedicated GPU fan is recommended.

Visiopharm is a pathology image analysis software equipped with deep learning capabilities. It powerfully assists in the analysis of image data obtained from large tissue samples using advanced artificial intelligence (AI). Pre-built analysis protocols are available to accommodate various applications, allowing users to select the appropriate analysis algorithm to obtain accurate results. For this analysis, the number of CPU cores, the amount of memory, and the performance of the graphics card are important. This model, selected with the above specifications in mind, is highly recommended.

Aivia is an advanced image analysis software that utilizes artificial intelligence (AI) technology. It allows for easy and efficient analysis of large volumes of data from 2D to 5D images obtained mainly through microscopy, even without knowledge of image processing, significantly improving the efficiency and accuracy of research. Since its release, it has been used for various analyses in many research institutions. We would like to introduce the hardware component, HPC, that enables Aivia to operate smoothly!

MIPAR, developed by MIPAR Software LLC, which is primarily composed of members from Ohio State University, is an innovative image processing software that excels in detection capabilities and measurement techniques. It can be used in various fields, including particle measurement (particle size distribution, particle count, particle area), cell counting and measurement, viability assessment, and specific area detection of metals and minerals. No programming is required at all. - 3D image creation and volume calculation from multiple cross-sectional images - Automatic generation feature for reflecting image processing results in MS Word or PowerPoint - Detailed detection of features that have been difficult to detect until now Options for image detection using Deep Learning and volume calculation functions from created 3D images are also available. Recommended hardware configuration for a workstation equipped with the specifications necessary for comfortable operation of MIPAR.

AI particle image analysis software "AIPAS" (AI ParticleAnalyzing Software) is an offline software that achieves high-precision detection and classification of individual particles and powders, as well as accurate measurements, for particle and powder images that are difficult to analyze with conventional image processing by utilizing deep learning. - Equipped with an AI model trained on approximately 600,000 particles of over 25 types - Excels in analyzing agglomerated particles, composites, sintered bodies, and crystalline particles, which are challenging for existing software - Capable of detecting and measuring primary particles that make up secondary aggregates - Features various specialized models tailored for SEM, TEM, and S-TEM images - Customizable to optimize for user images Recommended hardware configuration for a workstation that meets the specifications for comfortable operation of AIPAS.

■Both P-core and E-core architectures have improved performance! In the latest Core Ultra series, "Hyper-Threading," which allows a single core to execute multiple threads, has been eliminated. However, IPC (Instructions Per Cycle) has increased by approximately 9% for P-cores and about 32% for E-cores. ■The latest Core Ultra series significantly improves performance per watt! For example, the Core i9-14900K achieves a certain performance level at a power consumption of 125W, while the Core Ultra 9 285K achieves the same performance at just 65W. Additionally, the performance level that the Core i9-14900K achieves at 250W can be reached by the Core Ultra 9 285K at only 125W. As a result, power consumption during PC usage has significantly decreased, with power consumption during major benchmark tests dropping by as much as 58%.