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"Particle-PLUS" is software suitable for research and development of devices using plasma, compatible with ICP and CCP. - Excels in simulations of low-pressure gases where fluid modeling is difficult - Calculation functions for inductive heating for ICP simulations - Advanced physical model analysis such as CCP and external circuit models - Capable of simultaneously simulating ICP and CCP - Supports 2D and 3D, efficiently analyzing complex models - As a strength of our in-house developed software, customization to fit customer devices is possible ◆ Supports various cases ◆ - Magnetron sputtering - PVD, plasma CVD - Capacitively coupled plasma (CCP) - Dielectric barrier discharge (DBD), etc. ◆ Outputs various calculation results ◆ - Potential distribution - Density distribution/temperature distribution/generation distribution of electrons and ions - Particle flux and energy flux to the wall - Energy spectrum of electrons and ions at the wall - Density distribution/temperature distribution/velocity distribution of neutral gas, etc. *For more details, please feel free to contact us at sales@wavefront.co.jp.

This time, the goal was to grasp the trends of optimal experimental conditions by predicting characteristic values. <Background> From traditional to modern times, developing materials with better characteristic values is an important task across all fields and remains a significant challenge. Additionally, since the characteristic values of materials can be influenced by various factors, there is a demand for increased efficiency in material development. For instance, factors such as the materials used during development, reaction time, temperature, and hysteresis may also affect the results. While it is ideal to introduce experimental design methods for all these conditions and discover optimal conditions through actual experiments and measurements, this is not realistic from a cost and time perspective. Therefore, we conducted machine learning using a small dataset that recorded several experimental conditions (for example, explanatory variables X1, X2, X3, X4, ...) and their respective characteristic values (for example, objective variables Y1, Y2). In this case, we were able to easily perform machine learning to create a model and improve prediction accuracy. *For more details, please contact us.*

【The following fluid analyses are possible】 ■ Free surface flow ■ Flow considering the compressibility of air contained in liquids ■ Pressure pulsation, water hammer effect ■ Coupling of pump flow with the rigid body motion of valves and cam rings ■ Flow in low to medium vacuum conditions ■ Compressible flow (subsonic) ■ Cavitation ■ Flow field (velocity vectors, pressure), flow rate, fluid forces, and time variation of torque Recently, there has been an increase in projects for oil cooling analysis of eAxles for automobiles, and when solving the VOF method with other CFD software, we have received inquiries such as: - Analysis time is too long - It is difficult to create fine calculation meshes - It diverges and does not converge Additionally, even when analyzing with particle methods, we have received feedback that accurate thermal analysis cannot be performed, and it can only determine the areas where oil is present. Our company undertakes actual contract work from Tier 1 customers, gaining know-how that cannot be obtained solely from software sales. Development source's SAE presentation paper on motor oil cooling https://saemobilus.sae.org/content/2020-01-0168/

【The following fluid analyses are possible】 ■ Free surface flow ■ Flow considering the compressibility of air contained in liquids ■ Pressure pulsation, water hammer effect ■ Coupling of pump flow with the rigid body motion of valves and cam rings ■ Flow in low to medium vacuum conditions ■ Compressible flow (subsonic) ■ Cavitation ■ Time variation of flow field (velocity vectors, pressure), flow rate, fluid forces, and torque Recently, there has been an increase in projects for oil cooling analysis of E-Axles for automobiles, and when solving the VOF method with other CFD software, we have received inquiries such as: - Analysis time is too long - It is difficult to create fine computational meshes - The solution diverges and does not converge Additionally, even when analyzing with particle methods, we have received feedback that accurate thermal analysis cannot be performed, and it is only possible to determine the areas where oil is present. Our company has gained know-how that cannot be obtained solely from software sales by actually undertaking contract work from Tier 1 customers. Development source's SAE presentation paper on motor oil cooling https://saemobilus.sae.org/content/2020-01-0168/

【The following fluid analyses are possible】 ■ Free surface flow ■ Flow considering the compressibility of air contained in the liquid ■ Pressure pulsation, water hammer effect ■ Coupling of pump flow with the rigid body motion of valves and cam rings ■ Flow in low to medium vacuum conditions ■ Compressible flow (subsonic) ■ Cavitation ■ Time variation of flow field (velocity vectors, pressure), flow rate, fluid forces, and torque Recently, there has been an increase in projects for oil cooling analysis of e-axles for automobiles, and when solving the VOF method with other CFD software, we have received inquiries regarding: - Excessive analysis time - Difficulty in creating fine computational meshes - Divergence and failure to converge Additionally, even when analyzing with particle methods, we have received feedback that accurate thermal analysis cannot be performed, and it is only possible to determine the areas where oil is present. Our company has gained know-how that cannot be obtained solely from software sales by actually undertaking contracted work from Tier 1 customers. SAE presentation paper on motor oil cooling from the developer: https://saemobilus.sae.org/content/2020-01-0168/

【The following fluid analyses are possible】 ■ Free surface flow ■ Flow considering the compressibility of air contained in liquids ■ Pressure pulsation, water hammer effect ■ Coupling of pump flow with the rigid body motion of valves and cam rings ■ Flow in low to medium vacuum conditions ■ Compressible flow (subsonic) ■ Cavitation ■ Time variation of flow field (velocity vectors, pressure), flow rate, fluid forces, and torque Recently, there has been an increase in projects for oil cooling analysis of e-axles for automobiles, and when solving the VOF method with other CFD software, we have received inquiries such as: - Analysis time is too long - It is difficult to create fine computational meshes - It diverges and does not converge Additionally, even when analyzed using particle methods, we have received feedback that accurate thermal analysis cannot be performed, and it only provides a rough idea of where the oil is located. Our company has gained know-how that cannot be obtained solely from software sales by actually undertaking contracted work from Tier 1 customers. Development source's SAE presentation paper on motor oil cooling https://saemobilus.sae.org/content/2020-01-0168/

【The following fluid analyses are possible】 ■ Free surface flow ■ Flow considering the compressibility of air contained in liquids ■ Pressure pulsation, water hammer effect ■ Coupling of pump flow with the rigid body motion of valves and cam rings ■ Flow in low to medium vacuum conditions ■ Compressible flow (subsonic) ■ Cavitation ■ Time variation of flow field (velocity vectors, pressure), flow rate, fluid forces, and torque Recently, there has been an increase in projects for cooling analysis of eAxles for automobiles, and when solving the VOF method with other CFD software, we have received inquiries such as: - Analysis time is too long - It is difficult to create fine computational meshes - The solution diverges and does not converge Additionally, even when analyzing with particle methods, we have received feedback that accurate thermal analysis cannot be performed, and it can only determine the areas where oil is present. Our company undertakes actual contracted work from Tier 1 customers, gaining know-how that cannot be obtained solely from software sales. Development source's SAE presentation paper on motor oil cooling https://saemobilus.sae.org/content/2020-01-0168/

【The following fluid analyses are possible】 ■ Free surface flow ■ Flow considering the compressibility of air contained in liquids ■ Pressure pulsation, water hammer effects ■ Coupling of pump flow with the rigid body motion of valves and cam rings ■ Flow in low to medium vacuum conditions ■ Compressible flow (subsonic) ■ Cavitation ■ Time variation of flow field (velocity vectors, pressure), flow rate, fluid forces, and torque Recently, there has been an increase in projects for cooling analysis of E-Axles for automobiles, and when solving the VOF method with other CFD software, we have received inquiries such as: - Analysis time is too long - It is difficult to create fine calculation meshes - The analysis diverges and does not converge Additionally, even when analyzed using particle methods, we have received feedback that accurate thermal analysis cannot be performed, and it is only possible to identify areas where oil is present. Our company undertakes actual contracted work from Tier 1 customers, gaining know-how that cannot be obtained solely from software sales. Development source's SAE presentation paper on motor oil cooling: https://saemobilus.sae.org/content/2020-01-0168/

【The following fluid analyses are possible】 ■ Free surface flow ■ Flow considering the compressibility of air contained in liquids ■ Pressure pulsations, water hammer effects ■ Coupling of pump flow with the rigid body motion of valves and cam rings ■ Flow in low to medium vacuum conditions ■ Compressible flow (subsonic) ■ Cavitation ■ Flow field (velocity vectors, pressure), flow rate, fluid forces, and time variations of torque Recently, there has been an increase in projects for cooling analysis of e-axles for automobiles, and when solving the VOF method with other CFD software, we have received inquiries such as: - Analysis time is too long - It is difficult to create fine computational meshes - The solution diverges and does not converge Additionally, even when analyzing with particle methods, we have received feedback that accurate thermal analysis cannot be performed, and it is only possible to identify areas where oil is present. Our company has gained know-how that cannot be obtained solely from software sales by undertaking actual contract work from Tier 1 customers. SAE presentation paper on motor oil cooling from the developer: https://saemobilus.sae.org/content/2020-01-0168/

【The following fluid analyses are possible】 ■ Free surface flow ■ Flow considering the compressibility of air contained in liquids ■ Pressure pulsation, water hammer effect ■ Coupling of pump flow with the rigid body motion of valves and cam rings ■ Flow in low to medium vacuum conditions ■ Compressible flow (subsonic) ■ Cavitation ■ Flow field (velocity vectors, pressure), flow rate, fluid forces, and torque over time Recently, there has been an increase in projects for cooling analysis of e-axles for automobiles, and when solving the VOF method with other CFD software, we have received inquiries such as: - Analysis time is too long - It is difficult to create fine computational meshes - The analysis diverges and does not converge Additionally, even when analyzed using particle methods, we have received feedback that accurate thermal analysis cannot be performed, and it is only possible to determine the areas where oil is present. Our company has gained know-how that cannot be obtained solely from software sales by actually undertaking contracted work from Tier 1 customers. SAE presentation paper on motor oil cooling from the developer https://saemobilus.sae.org/content/2020-01-0168/

Simulation Analysis of Dust Behavior Affecting Contamination Initially compatible with various simulations 【Features】 ■ By adopting unstructured meshes, it is possible to compute the exact shape of complex actual devices. ■ High parallel efficiency allows for quick computation results even for large-scale shapes. ■ Since a particle method is used, unlike fluid models, convergence solutions can be obtained even with poor-quality computational grids. ■ With comprehensive technical support, even those new to simulations or busy with experiments can reliably achieve results. ◆ Supports various case studies ◆ - Simulation of rarefied gas flow in a vacuum chamber - Simulation of thin film generation in semiconductor manufacturing - Simulation of thin film generation in semiconductor manufacturing such as Chemical Vapor Deposition (CVD), Organic EL (OLED), and Molecular Beam Epitaxy (MBE) ◆ Outputs various computational results ◆ - Calculation of chemical reactions - Calculation of chemical reactions from Arrhenius-type reaction data - Calculation of dissociation, recombination, and molecular (atomic) exchange reactions - Multiple reaction equations can be set up on the GUI *We also offer contract analysis, so please feel free to contact us.*

**Features** - Adopts unstructured mesh, allowing for calculations that accurately reflect the complex shapes of actual devices. - High parallel efficiency enables quick computation results even for large-scale geometries. - Utilizes a particle method, ensuring convergence to a solution even with poor-quality computational grids, unlike fluid models. - Comprehensive technical support ensures that even those new to simulation or busy with experiments can reliably achieve results. **Supports Various Cases** - Simulation of rarefied gas flow in a vacuum chamber. - Simulation of thin film generation in semiconductor manufacturing. - Chemical vapor deposition (CVD), organic light-emitting diode (OLED), molecular beam epitaxy (MBE). - Film deposition simulations involving chemical reactions like CVD. **Outputs Various Computational Results** - Calculation of chemical reactions. - Calculation of chemical reactions from Arrhenius-type reaction data. - Calculation of dissociation, recombination, and molecular (atomic) exchange reactions. - Ability to set multiple reaction equations on the GUI. *For more details, please refer to the catalog or feel free to contact us.*

Simulation Analysis of Gas Flow in Shower Head Type CVD Equipment Initially compatible with various simulations 【Features】 ■ By adopting a non-structured mesh, it is possible to calculate the complex shapes of actual equipment as they are. ■ High parallel efficiency allows for quick computation results even for large-scale shapes. ■ Since a particle method is used, unlike fluid models, convergence solutions can always be obtained even with poor quality computational grids. ■ With comprehensive technical support, even those new to simulations or busy with experiments can reliably achieve results. ◆ Compatible with various cases ◆ - Simulation of rarefied gas flow in a vacuum chamber - Simulation of thin film generation in semiconductor manufacturing - Simulation of thin film generation in semiconductor manufacturing such as Chemical Vapor Deposition (CVD), Organic Light Emitting Diodes (OLED), and Molecular Beam Epitaxy (MBE) ◆ Outputs various computation results ◆ - Calculation of chemical reactions - Calculation of chemical reactions from Arrhenius-type reaction data - Calculation of dissociation, recombination, and molecular (atomic) exchange reactions - Multiple reaction equations can be set on the GUI *We also offer contract analysis, so please feel free to contact us.

"Particle-PLUS" is a simulation software suitable for research, development, and manufacturing of devices, materials, and systems using plasma. It allows for fast results without the need to simulate the entire device by combining axisymmetric models and mirror-symmetric boundary conditions. It supports both 2D (two-dimensional) and 3D (three-dimensional) analyses, enabling efficient analysis even for complex models. 【Features】 ■ Specializes in low-pressure plasma analysis ■ Allows for fast results without the need to simulate the entire device by combining axisymmetric models and mirror-symmetric boundary conditions ■ Excels in plasma simulation for low-pressure gases, which are difficult to compute with fluid models ■ Supports both 2D (two-dimensional) and 3D (three-dimensional) analyses, enabling efficient analysis even for complex models ■ Customization to fit customer devices is possible as a strength of in-house developed software *For more details, please refer to the PDF document or feel free to contact us.

The particle method plasma analysis software "Particle-PLUS," developed by Wavefront Inc., can analyze magnetron sputtering even in cases where there are microtrench structures on the substrate. "Particle-PLUS" is capable of simulating the film deposition process by calculating both the macro scale for the entire sputtering device on a substrate that includes microtrench structures and the micro scale for the areas with microtrench. *For more details, please download the PDF or feel free to contact us.*

The particle-based plasma analysis software 'Particle-PLUS' developed by Wavefront Inc. can analyze simultaneous magnetron sputtering in devices where the substrate and target are not in equilibrium. With the cut cell creation feature, it allows for high-precision electric field calculations characteristic of orthogonal grids while considering accurate shapes and normal directions. *For more details, please download the PDF or feel free to contact us.*

Our self-developed particle method plasma analysis software 'Particle-PLUS' is suitable not only for plasma analysis applications but also for fundamental research on particle confinement using electric and magnetic fields. In this case, we newly constructed a simulation model aimed at high-precision evaluation of the magnetic mirror effect, confirming that the calculation results, such as magnetic moment and loss cone region, are consistent with the results predicted by particle kinetics. The processes that can be calculated include PVD using magnetron sputtering, CVD using capacitively coupled plasma (CCP), and spatial control of charged particles using electric and magnetic fields. 【Features】 ■ Excels in simulating low-pressure or low-temperature plasmas, which are difficult to compute with fluid models ■ Supports non-equilibrium particle systems that do not follow Maxwell distribution ■ Capable of full model analysis using 3D meshes ■ Enables fast analysis by using axisymmetric models and planar models with 2D meshes and symmetric boundary conditions *For more details, please download the PDF or feel free to contact us.

Our self-developed software for three-dimensional rarefied gas analysis, 'DSMC-Neutrals', enables simulation of gas behavior in a vacuum. ■ Rarefied fluid simulation using the particle method ■ Usable for experiments and equipment development using vacuum chambers ■ Capable of simulating film deposition rates and distributions that include chemical reactions like CVD ■ Utilizes unstructured meshes, allowing direct use of actual equipment shapes ■ High parallel efficiency enables quick computation results even for large-scale shapes ■ Since it employs the particle method, it guarantees convergence solutions even with poor-quality computational grids, unlike fluid models ■ We provide comprehensive support both during the trial period and after implementation For more details, please contact us!

BIOVIA Discovery Studio is software that enables 3D modeling and simulation of molecules for the pharmaceutical and medical device industries. It allows for in-depth investigation of mechanisms of action at the atomic level, examination of subtle differences in proteins, and encompasses everything from drug target identification to lead optimization. In addition to modeling and simulation capabilities, it is a comprehensive tool for drug discovery and medical device development that also includes screening and quality prediction functions using databases. It can be used independently, but it also has integration features with other BIOVIA lab management solutions we offer. This allows us to provide the necessary solutions for drug discovery at the lab level. *For more details, please download the PDF or feel free to contact us.

The dedicated analysis software for arc discharge, "VizSpark," not only considers the characteristics of arc plasma but also takes into account the thermal interactions with solids, magnetic fields, and fluid dynamics, making it applicable for a wide range of purposes. It can analyze the heat generated by arc plasma, the pressure and temperature rise associated with heating, and the energy efficiency of the arc plasma. 【Features】 ■ Developed by engineers from Esgee Technologies, a U.S. company founded by experts in plasma simulation. ■ Allows for accurate verification of arc formation in the development of circuit breakers and relays. ■ Capable of predicting issues caused by overcurrent. ■ By predicting surface temperatures due to arcs, it enables forecasting of wear on terminals and contacts, as well as terminal melting. ■ Contributes to the reliability and safety improvements of electric vehicles and home appliances. *For more details, please refer to the materials. Feel free to contact us with any inquiries.

SimericsMP+ is a fluid simulation tool for calculating the transient characteristics of various volumetric pumps, compressors, and valves. ■ High-precision reproduction of complex flows specific to planetary gears Analyzing fluid behavior that includes simultaneous rotation and revolution of multiple gears Visualizing oil agitation, splashing, and entrapment phenomena Quantifying the relationship between internal flow and torque loss ■ Anticipating "invisible challenges" related to lubrication, loss, and heat Quantitative evaluation of churning loss Oil film behavior around tooth surfaces and bearings Analysis of heat generation and cooling balance ■ Short-term evaluation with automatic meshing and dynamic analysis Automatic remeshing that follows gear rotation Significant reduction in model preparation time Rapid iteration of design changes is possible ■ Moving away from experimental dependence to optimization from the early design stage Predicting performance and losses before prototyping Analyzing the impact of design parameters (oil volume, viscosity, rotation speed) Reducing development time and costs Technical points Integrated analysis of fluid, heat, bubbles, and cavitation Handling of high-viscosity oil and multiphase flow Evaluating the effects of gear clearance and oil film thickness Stable calculations under high-speed rotation conditions

"BIOVIA Discovery Studio" is a molecular modeling/simulation software for the pharmaceutical and medical device industries. It supports the understanding of biological processes and the resolution of challenges in the life sciences field through the analysis and prediction of protein three-dimensional structures. The three-dimensional structure of proteins is closely related to their physiological functions. Elucidating this structure is essential for understanding biological processes and solving challenges in the life sciences. While experimental techniques have traditionally been used for protein structure determination, manual optimization emerged in the 1970s, computational design in the 1990s, and now AI-driven methods have made it possible to predict protein structures. For more detailed information on the specific techniques of protein structure prediction, you can view the column at the link below. Please take a look.

The three-dimensional structure of proteins is closely related to their physiological functions. "BIOVIA Discovery Studio" can elucidate this structure through homology modeling, which determines the three-dimensional structure from the amino acid sequence of the protein, and AI-assisted functions using AlphaFold and OpenFold. Additionally, molecular simulations are useful for analyzing non-covalent interactions between target proteins and drug molecules, binding stability, structural changes, and solvation. "BIOVIA Discovery Studio" also enables rapid static analysis of protein complexes using sophisticated computational methods such as molecular docking simulations. By combining molecular simulations with protein structure prediction, it is possible to accurately analyze the mechanisms of action of proteins. ◎Trial "BIOVIA Discovery Studio" offers a trial period. For more details, please feel free to contact us through the "Contact Us via Web" link below.

BIOVIA Materials Studio is a materials simulation software that can predict and analyze the structure, properties, and behavior of materials at the molecular and atomic level. It supports various analytical methods, including quantum mechanical calculations and molecular dynamics simulations, allowing users to perform everything from model creation to computation and visualization/analysis of results within a single environment. Additionally, it is compatible with the machine learning potential "MACE," which has been gaining attention in recent years. By combining Materials Studio Forcite with MACE, it is expected to enable high-precision simulations of materials on a larger scale and over longer durations. **Features** - Supports the notable machine learning potential "MACE" - Accommodates a wide range of simulations necessary for materials development - Usable across a broad spectrum of materials and research fields - Aids in the efficiency of materials development - Executes analyses within a single GUI environment *For more details, please download the PDF or feel free to contact us.*