Simulation software Product List and Ranking from 177 Manufacturers, Suppliers and Companies

Development of Autonomous Driving and ADAS using MATLAB/Simulink

We will systematically and in detail explain the increasingly complex technology areas of autonomous driving and ADAS.

In the development of autonomous driving and ADAS (Advanced Driver Assistance Systems), there are many technologies that need to be considered and developed across a wide range of areas related to "perception, decision-making, and operation." This white paper systematically and thoroughly explains the increasingly complex technological domains of autonomous driving and ADAS. Furthermore, it highlights the following seven important applications and functions in autonomous driving development, introducing features and solutions using MATLAB/Simulink for each: - Image processing and deep learning - LiDAR signal processing - Sensor fusion - Advanced driving control (model predictive control, reinforcement learning) - Generation of driving scenarios for various algorithm verification - External collaboration (Unreal integration, ROS integration) - Code generation

Company：MathWorks Japan
Price：Other

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FIMMWAVE (Waveguide mode solver)

FIMMWAVE is software that allows for easy mode analysis of complex waveguide and fiber structures using a waveguide mode solver.

A large number of complementary solvers ・FIMMWAVE contains a variety of robust and computationally efficient solvers optimised for such structures. ・FIMMWAVE combines:methods based on semi-analytic techniques, which allow to tackle efficiently problems with strong variations in refractive index, thin layers, etc. ・numerical methods such as finite elements (FEM) or finite differences (FDM), providing robust solutions to arbitrary problems.

Company：CTflo
Price：Other

Contract Analysis
Other analyses
simulator
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Hydraulic, electrical, and pneumatic circuit design simulation software

Efficient circuit design! Significantly reduce the time and cost involved in design and development with hydraulic, electrical, and pneumatic circuit design simulation software!

"Automation Studio(TM) P7" is a hydraulic, electrical, and pneumatic circuit design and simulation software that can improve the design and development process. It allows for circuit modifications and redesigns, enabling verification through simulation, which makes it possible to create a more suitable version before producing a prototype. As a result, it significantly reduces the time and costs associated with design and development. 【Features】 ■ Easy circuit design ■ Circuit simulation capability ■ 3D visualization simulation capability ■ Troubleshooting function 【New Features! Characteristics of the Latest Version P7】 ■ Manifold block function that greatly shortens design man-hours ■ Enhanced troubleshooting function ■ Newly added and updated manufacturer catalogs

Company：伊東商会
Price：Other

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[DataMesh Director Use Case] Toda Corporation

A case study that projected the changes in shape on-site using MR technology and verified its effectiveness for practical use!

We would like to introduce a case study of the construction simulation using BIM×MR×5G for the new SAGA Arena construction project conducted in collaboration with Toda Corporation. To improve construction productivity at the site, we utilized "DataMesh Director" to reproduce the construction quality in MR. Based on the 3D model created during the front-loading phase, we used the same product to create an MR model that reflects the positions of walls and doors in the construction drawings. [Case Overview] ■ Product Used: DataMesh Director ■ Company Implementing: Toda Corporation *For more details, please download the PDF or feel free to contact us.

Company：DataMesh 本社
Price：Other

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DataMesh Designer

Reduce costs incurred from trial and error on actual machines and contribute to business optimization!

"DataMesh Designer" is a system that allows for the easy and quick construction of factories, assembly lines, and equipment layouts. In a virtual space, you can adjust the layout of production lines and the functions of various equipment, and validate the simulation results on-site for operational use. Additionally, it can also be used to build smart parks and smart cities. [Usage Examples] ■ DataMesh Designer + Smart Factory ■ DataMesh Designer + Smart City ■ DataMesh Designer + Smart Data Center *For more details, please download the PDF or feel free to contact us.

Company：DataMesh 本社
Price：Other

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Sales Support × VR: Next-Generation Sales Support Service 'Sales VR'

Sales VR allows you to understand which users viewed "when," "where," and "for how long," dramatically increasing the effectiveness of sales and marketing.

■Feature 1 Instantly grasp "when" and "what" the customer is viewing and accumulate "how" they viewed it. With Sales VR, an email is sent to the representative as soon as the customer starts browsing. From the link in the email, you can directly check which customer is viewing what in a 360-degree VR format. You can immediately know when the customer has finished viewing the content, allowing you to make timely calls and conduct efficient sales. Additionally, you can check and accumulate access dates, viewing times for each scene, and the number of pop-up displays, which helps increase the success rate of sales by understanding the customer's interests. ■Feature 2 Supports both one-on-one and mailing list distribution. Content can be distributed to customers individually or by creating a list to send the content as a mailing list via URL. Even with mailing list distribution, you can track which customer is viewing what, when, and how individually. ■Feature 3 It is also possible to conduct sales while guiding customers in real-time. After distributing content to customers, you receive a notification via email the moment they start viewing, and the content is synchronized between the customer and the business. This allows for two-way interaction, enabling sales to be conducted while guiding the customer.

Company：スペースリー本社
Price：10,000 yen-100,000 yen

Other CAD related software
3D CAD
others
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[Development Case] CAN Communication Simulation System

Building a simulation environment for simple verification! Introducing examples from the manufacturing industry.

We will introduce a development case of a system that implements a function for simulating CAN communication processing on WSL, allowing for a simplified simulation of CAN communication without using hardware. The logging display of CAN communication and the virtual indication based on changes in CAN signals can be confirmed using tools in Visual Studio. After implementation, it became possible to verify the specifications of CAN signals, which is expected to shorten the development period of subsequent processes. 【Case Overview】 ■Industry: Manufacturing ■Field: FA (Factory Automation) / Control ■Development Environment ・OS: Windows 10 (WSL) ・Development Languages: C#, Python ・Equipment Used: Windows PC *For more details, please refer to the PDF document or feel free to contact us.

Company：TCC
Price：Other

Communications
Simulation software

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Proposal for simulation software capable of producing both 2D and 3D.

Achieve overwhelming scalability and maintainability! We accept simulations of various products!

Our company conducts 2D and 3D simulations, and we accept simulations for various products. Customers can customize according to their preferences. You can check the finished image of a product close to your wishes, which can lead to an increase in conversion rates. You can also use 3D model images created from patterns as 2D, and it is also effective as a customer service tool using a tablet. 【Features】 <2D Simulation> ■ You can confirm the quality similar to the finished product using product photos. ■ Additional products can be added as long as there are photos, even if the shapes differ. <3D Simulation> ■ You can check from all directions, allowing you to view the desired angle. ■ The zoom function allows you to check fine designs. ■ Save pattern data after design changes in SVG format. *For more details, please refer to the related link page or feel free to contact us.

Company：ゼネラルソフトウェア
Price：Other

3D CAD
3D CAM
2D CAM
Simulation software

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Welding simulation software 'Jupiter-MuxWeld1'

Understanding differences in deformation in advance through welding simulation by Osaka University JWRIAN.

Jupiter-MuxWeld1 is a welding simulation software composed of Jupiter (pre-post) and Osaka University JWRIAN (solver). Since JWRIAN from Osaka University has been ported to the general-purpose pre-post Jupiter, all operations (importing, mesh creation, setting welding conditions, executing analysis, displaying results) can be easily performed on Jupiter. ############################################################################ For features and case studies, please refer to the product page in the related links. Feel free to contact us with any questions, no matter how trivial.

Company：テクノスター
Price：Other

Welding Machine
Stress Analysis
Thermo-fluid analysis
Simulation software

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hyperMILL VIRTUAL Machining

NC-based simulation! Seamless networking with machine tools.

OPEN MIND has developed 'hyperMILL VIRTUAL Machining' for more reliable evaluation, control, and optimization of machining processes. This high-efficiency simulation solution consists of three modules: "Center," "Optimizer," and "CONNECTED Machining." 【Application Areas】 ■ Checking, evaluating, and optimizing machining processes ■ Matching jobs to available machine tools ■ Easy transfer of job tasks between available machine tools ■ Supporting considerations for purchasing new machine tools ■ Accurate cost estimation for competitive projects *For more details, please refer to the PDF document or feel free to contact us.

Company：GENIO Solutions 本社
Price：Other

2D CAM
3D CAM
Other CAM related software
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T3R simulator

An immersive experience beyond imagination! Ultra-realistic VR driving simulator.

A VR driving simulator born from the synergy of the experience of professional racing drivers and 3D floating full-motion technology that accurately and realistically reproduces vehicle behavior. 【Features】 ■ Feedback from active professional drivers enhances the realism and speed sensation of racing in development. ■ To accurately reproduce vehicle behavior, it incorporates both analog and digital data, as well as recreating digital data in an analog format. ■ By utilizing the "VR system," it further enhances the realism of the "fear" aspect of driving. Additionally, applications have diversified, including virtual showrooms. ■ Customization is possible to suit various applications, such as incorporating actual car steering wheels, pedals, and seats. ■ Software development is also possible, allowing for the reproduction of different vehicle types and courses.

Company：アイロック本社
Price：1 million yen-5 million yen

Virtual Reality Related
Simulation software

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T3R 4-axis machine

Professional model

It is a high-performance model that can perform realistic driving under all conditions, from racing cars to regular commercial vehicles.

Company：アイロック本社
Price：5 million yen-10 million yen

Vocational Training/Technical School
Analytical Equipment and Devices
Public Testing/Laboratory
Simulation software

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[Presentation of Materials] Machine Learning and Material Property Prediction

Quickly transform data into knowledge based on informatics! Contributing to the field of advanced materials development.

This document introduces the machine learning and material property prediction capabilities of the 'Materials Science Suite' handled by Schrodinger. This product features a powerful and user-friendly integrated informatics environment. With simple GUI operations, it allows for the analysis of experimental and simulation data using molecular structure fingerprints, visualizing the relationship between molecular structures and physical properties, and building machine learning models to predict the physical properties of new molecular structures. [Contents] ■ Background ■ Glass Transition Temperature ■ Prediction of Polymer Properties ■ KPLS Regression Using Fingerprints ■ Further Developments *For more details, please refer to the PDF document or feel free to contact us.

Company：シュレーディンガー
Price：Other

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Case Studies: Machine Learning for Materials Research

Case studies on inorganic solids and polymers! Designing new compounds in a cost-effective and time-efficient manner.

High-quality physics-based simulations and machine learning approaches accelerate the research of new materials and shorten the time to market. Through the workflow, it is possible to automatically create hundreds of predictive models using representative machine learning techniques (Partial Least Squares Regression (PLS), Multiple Linear Regression (MLR), Principal Component Regression (PCR), Kernel PLS) combined with descriptors and fingerprints, and select models with high predictive performance (AutoQSAR). For datasets with thousands of data points, similar to AutoQSAR, the workflow allows for the automatic creation of predictive models using deep learning (DeepAutoQSAR, DeepChem/AutoQSAR). To represent the properties of a wide range of materials (polymers, molecules, solids), effective descriptors customized for each system can be utilized.

Company：シュレーディンガー
Price：Other

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[Presentation of Japanese Materials] Supporting high-speed and high-precision prediction of physical properties of polymers and resins.

A GPU-assisted high-speed molecular dynamics engine that supports the rapid and high-precision prediction of physical property values of polymers and resins.

We would like to introduce Schrödinger's software that supports the prediction of physical properties of polymers and resins. 【Product Features】 ■ Accelerates MD calculations with high-efficiency GPU code Tens of thousands of atoms x hundreds of nanoseconds/day = lGPU ■ Unique high-precision force field parameter OPLS4 ■ Diverse polymer structure builder including cross-linked resins ■ Physical property prediction and analysis tools *For more details, please feel free to contact us.

Company：シュレーディンガー
Price：Other

Embedded OS
simulator
Composite Materials
Simulation software

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[Data] Materials Science Reaction Workflow

It can cover often overlooked conformers, streamline workflows, and enhance reproducibility and predictability.

In the Schrödinger materials science reaction workflow, automatic exploration of the conformational space allows for the coverage of often-overlooked conformers. Furthermore, the automation of quantum chemical calculations eliminates the challenging processes that require meticulous maintenance of hundreds of files and properties, as well as specialized training. This simplifies the workflow and enhances reproducibility and predictability. [Case Study] ■ Diels-Alder Reaction *For more details, please refer to the PDF document or feel free to contact us.

Company：シュレーディンガー
Price：Other

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[Case Presentation] Panasonic New Design of Materials for Organic Electronics

Panasonic and Schrödinger have designed over 50 new molecules that improve hole mobility.

Researchers at Panasonic are working on the novel development of organic semiconductor materials with high-efficiency characteristics. Panasonic is conducting joint research with Schrödinger, utilizing the high processing capabilities for DFT calculations, building machine learning/deep learning models, and enumerating chemical substances, leveraging the computational power and expertise provided by Schrödinger to achieve new designs of molecular materials. This catalog is a collection of case studies on "Novel Design of Hole-Conducting Molecular Materials for Organic Electronics," which Schrödinger has collaborated on with Panasonic. We invite you to read it. *For more details, please refer to the PDF document or feel free to contact us.*

Company：シュレーディンガー
Price：Other

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simulator
Organic EL
Simulation software

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[User Case Presentation] Development of Next-Generation Lithium-Ion Batteries

We will introduce a case of innovative material search implemented in the development of next-generation lithium-ion batteries by the CEO of Eonix.

Eonix is a startup focused on the rapid design of next-generation materials for energy storage technologies targeting home appliances, grid storage, and electric vehicles. CEO Don DeRosa, Ph.D., explains how combining high-throughput screening and physics-based modeling can transform the material discovery process for building better batteries.

Company：シュレーディンガー
Price：Other

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[Case Study] Accelerating the Design of Organic EL Materials through Active Learning

High efficiency and cost performance! An active learning workflow that utilizes the synergy of physics-based simulations and machine learning for predicting optoelectronic properties.

Molecular modeling and simulation tools have been proven effective for materials discovery and are increasingly being adopted in industrial research and development. Digital simulation significantly reduces the time required in research and development workflows compared to traditional experimental approaches, but challenges remain. Schrödinger has made it easier to address these challenges. Recently, Schrödinger developed an active learning workflow that leverages the synergy between physics-based simulations and machine learning for predicting optoelectronic properties. Recent research by Schrödinger, published in Frontiers in Chemistry and presented at SID-Display Week 2022, demonstrates an active learning paradigm for the discovery of OLED materials. *For more details, please refer to the PDF document or feel free to contact us.*

Company：シュレーディンガー
Price：Other

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simulator
Organic EL
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Presentation of Case Studies: Machine Learning Force Fields for Material Modeling

Introduction of use cases for machine-learned force fields.

Machine-learned force fields (MLFF) are designed to improve traditional force fields by incorporating machine learning models to accurately model interactions between atoms and molecules. This technology is based on neural network potential energy surface (NN-PES) architecture, and the model is trained to reproduce the total electronic energy of the system with chemical accuracy. With the combination of OPLS4 for initial structure generation, fast DFT and MD engines, and key MLFF methods, Schrödinger has become a leading partner in MLFF generation. This application note introduces the application of QRNN technology in modeling across three different areas of materials science: liquid electrolytes, polymers, and ionic liquids.

Company：シュレーディンガー
Price：Other

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plastic
Other polymer materials
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High-Efficiency Compound Exploration Realized by FEP+

Widely utilized in the field of chemistry, enabling cost reduction, efficient improvement of molecular profiles, and the exploration of highly accurate new compounds.

FEP+ is a technology based on the free energy perturbation method uniquely developed by Schrödinger. It enables the prediction of binding free energies between proteins and ligand molecules with reliability comparable to experiments across a wide chemical space. *For more details, please feel free to contact us.*

Company：シュレーディンガー
Price：Other

Embedded OS
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[Japanese Example] Calculation and Analysis Tool for Environmentally Friendly Cosmetic Formulation Design

[L'Oréal Case] Molecular Dynamics and Coarse-Grained Simulations to Facilitate the Formulation Design of Eco-Friendly Cosmetics

L'Oréal, the world's number one cosmetics company, has gained a deeper understanding of the differences in shear behavior between synthetic polymers and polysaccharide polymers on biomimetic surfaces by utilizing Schrödinger's software. • New insights into the aggregation behavior of shampoo formulations were obtained using simulated hair surfaces. • The influence of polymer topology was demonstrated, linking observed polymer interactions to experimentally observable phenomena. • A framework was established for studying complex formulations in contact with biomimetic surfaces using molecular dynamics simulations. • The design of eco-friendly cosmetic formulations was rationally accelerated.

Company：シュレーディンガー
Price：Other

Embedded OS
Other polymer materials
Computational Chemistry
Simulation software

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Free Webinar: Cosmetics Development Utilizing Digital Chemistry, February 19

Physics-based simulation and machine learning software for a wide range of users, from beginners to experts in computational chemistry.

Schrödinger, Inc. will hold a webinar for materials science on February 19 (Wednesday) titled "Virtual testing of personal care and cosmetics formulations using digital chemistry methods." The development of sustainable products faces many challenges, requiring time, resources, and new raw materials. Predictive modeling is gaining attention to streamline this process. It allows for the identification of promising ingredients and formulations that meet standards, as well as new packaging materials, providing molecular-level understanding through virtual testing using computational methods. Specifically, it enables the analysis of the behavior of individual components, the form of formulations, stability, and interactions with biological surfaces. Additionally, it allows for the exploration of interactions between products and packaging materials, helping to identify factors that significantly affect shelf life. In this seminar, we will demonstrate through case studies how computational chemistry can assist in product development, container design, and analysis during product use. We invite you to join us without hesitation.

Company：シュレーディンガー
Price：Other

Embedded OS
Cosmetic materials and raw materials
Cosmetic synthesis and fermentation
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Collection of Japanese Examples: Moisture Absorption Prediction and Its Effects on Amorphous Amylose Starch

Molecular dynamics simulations that promote the optimization of quality and processing in food and beverages, packaging, and pharmaceuticals.

Schrödinger provides a powerful and user-friendly integrated software solution for the research and development of consumer goods. Schrödinger's platform is designed for a wide range of users, from beginners to experts in computational chemistry, offering a simple workflow to build, simulate, and analyze real systems using advanced physics-based modeling and machine learning technologies. ■ Accurately predicts key physical properties such as the glass transition temperature (Tg) of amorphous amylose polymers in both wet and dry states. ■ Effectively models water absorption and transport by investigating the impact of moisture content on Tg and the diffusion of water within starch polymers. ■ The OPLS3e force field provides high accuracy for amorphous starch models. ■ Detailed studies of the interactions between water and amylose, along with further research on the effects of components on complex starch formulations.

Company：シュレーディンガー
Price：Other

Embedded OS
plastic
Organic Natural Materials
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Promotion of Organic Electronics Materials Development

Efficient development of organic electronics materials using the integrated platform Materials Science Suite.

Organic electronics materials are required to have good optoelectronic properties and chemical stability as individual molecules, as well as desirable morphology and thermodynamic properties in the aggregated phase. The Materials Science Suite provides atomic-scale simulations applicable to these systems based on quantum chemistry, molecular dynamics, and machine learning, supporting efficient material development through the insights and theoretical interpretations obtained. *For more details, please refer to the PDF document or feel free to contact us.*

Company：シュレーディンガー
Price：Other

Other electronic parts
simulator
Organic EL
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[Presentation of Data] Improvement of Formulation Design Optimization through Coarse-Grained Molecular Simulation

Understanding the mechanisms behind the dissolution reactions of amorphous solid dispersions (ASD) by the collaborative research team of AbbVie and Schrodinger.

Executive Summary - Evaluation of dissolution profiles for various combinations of drugs and polymers under specific conditions - Identification of interactions causing release delays in specific formulations - Cohesive complementary experimental data through molecular-level visual and numerical insights - Insights gained regarding new excipients for formulation compositions to achieve target solubility *For more details, please feel free to contact us.*

Company：シュレーディンガー
Price：Other

Embedded OS
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Contract research services adopted by leading companies in the world [Materials available]

Fully utilizing advanced technology and expertise! Contract services to accelerate materials research and development.

- Maximize the use of Schrödinger technology: The service includes all necessary computational resources, licenses, and working hours to conduct comprehensive simulations tailored to research and development needs. - Provide flexible and customizable solutions for project success: Your software, hardware, and computational resources are not required. During and after the project, you will receive knowledge transfer and training from our experts. We design and provide tools and solutions according to your objectives. - Complement your expertise with Schrödinger's specialized capabilities: After jointly defining the scope of deliverables, experts in materials applications and digital simulations will carry out the project.

Company：シュレーディンガー
Price：Other

Embedded OS
Contract Analysis
Other polymer materials
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Simulation software Product List and Ranking from 177 Manufacturers, Suppliers and Companies | IPROS GMS

Simulation software Manufacturer, Suppliers and Company Rankings

Simulation software Product ranking