Azore CFD
Azore is software for computational fluid dynamics. It analyzes fluid flow and heat transfers. CFD allows engineers and scientists to analyze a wide range of fluid mechanics problems, thermal and chemical problems numerically using a computer. Azore can simulate a wide range of fluid dynamics situations, including air, liquids, gases, and particulate-laden flow. Azore is commonly used to model the flow of liquids through a piping or evaluate water velocity profiles around submerged items. Azore can also analyze the flow of gases or air, such as simulating ambient air velocity profiles as they pass around buildings, or investigating the flow, heat transfer, and mechanical equipment inside a room. Azore CFD is able to simulate virtually any incompressible fluid flow model. This includes problems involving conjugate heat transfer, species transport, and steady-state or transient fluid flows.
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Declarative Webhooks
Declarative Webhooks provides Salesforce users with an intuitive, declarative way to create bi-directional integrations between Salesforce and other external applications without writing any code. Similar to having Postman embedded within Salesforce, it offers a point-and-click interface that accelerates the integration process and improves efficiency. Fully integrated as a native Salesforce app, Declarative Webhooks leverages core platform tools like Flow, Process Builder, and Apex to enhance automation workflows. Users can easily set up webhook-based triggers and responses to synchronize data and events in real time. Additionally, the AI Integration Agent feature can automatically generate integration templates by analyzing provided API documentation URLs, reducing manual setup time. This capability simplifies complex API connections and helps users quickly deploy integrations. Declarative Webhooks is designed to empower admins and business users by removing technical barriers and boosting productivity. Its seamless fit within Salesforce ensures consistent and reliable integration experiences.
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Tidy3D
Tidy3D, developed by Flexcompute, is an incredibly swift electromagnetic (EM) solver that utilizes the finite-difference time-domain (FDTD) technique. Its remarkable speed stems from the efficient co-design of both its software and hardware, allowing it to perform simulations significantly quicker than competing EM solvers. This unparalleled speed enables users to tackle problems that span hundreds of wavelengths, a task that traditional methods often struggle to handle effectively. Consequently, Tidy3D opens up new possibilities for researchers and engineers dealing with complex electromagnetic challenges.
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Solver SDK
Incorporate optimization and simulation models into your desktop, web, or mobile applications effortlessly by utilizing consistent high-level objects such as Problem, Solver, Variable, and Function, along with their respective collections, properties, and methods across various programming languages. This uniformity extends to a standardized object-oriented API that is accessible remotely via Web Services WS-* standards for clients using languages like PHP, JavaScript, and C#. Additionally, procedural languages are able to invoke traditional calls that align intuitively with the properties and methods of the object-oriented API. The suite of optimization techniques available encompasses linear and quadratic programming, mixed-integer programming, smooth nonlinear optimization, as well as global optimization and non-smooth evolutionary and tabu search methodologies. Furthermore, premier optimization tools from Gurobi™, XPRESS™, and MOSEK™ for handling linear, quadratic, and conic models, along with KNITRO™, SQP, and GRG methods for nonlinear challenges, can be seamlessly integrated into the Solver SDK. You can also effortlessly generate a sparse DoubleMatrix object containing an impressive 1 million rows and columns, making it easier to handle large datasets. This flexibility in creating and managing complex optimization problems allows developers to tailor solutions that meet specific application needs efficiently.
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