Academic licenses for MatLAB, CAE / CAD, Ansys may be requested by opening a ticket to the CloudUT Ticketing Office.
We are currently inventorying the academic licences procured and available within the university. Then, we will promote their availability to the academic community through services like the CloudUT Ticketing Office.
Cadence Design Systems is a leading provider of Electronic Design Automation (EDA) software and intellectual property (IP) for designing chips, SoCs, and systems. They have heavily invested in embedding AI and machine learning (ML) across their entire portfolio, aiming for "Intelligent System Design”. It benefits from an overarching strategy and collection of AI-driven platforms that leverage the Cadence Joint Enterprise Data and AI (JedAI) framework. It aims for a "generational shift" in EDA by moving from single-run, single-engine algorithms to
AI-driven approaches that optimize across multiple runs and engines allowing Cadence to define five progressive levels of AI in chip design.
Ansys Suite (e.g., Ansys Discovery, Ansys SimAI, Ansys TwinAI) provides real-time simulation feedback during the design process, using GPU acceleration and AI-enhanced solvers for faster computation and setup. The AI platform is designed to predict performance of new designs within minutes by leveraging existing simulation results to train AI models. It accelerates simulation across various physics and allows creating digital twins by integrating physics models with real-world data, powered by AI techniques for fast, accurate, and evolving twins, including reduced order modelling.
MATLAB offers toolboxes for machine learning, deep learning, and various numerical methods, facilitating the integration of AI into simulation tasks.
Altair HyperWorks (with Altair DesignAI) allows device topology optimization. It utilizes AI-driven design exploration reducing order modeling (ROM) for faster system-level studies. Combines physics-based simulation-driven design and machine learning-based AI-driven design to generate high-potential designs earlier in the development cycle.
PTC Creo Generative Design offers AI-driven generative design to explore and deliver optimized designs quickly. It incorporates topology optimization where AI driven tools help reduce weight and material cost by optimizing the material distribution within a given design space.
Siemens NX personalization leverages AI and machine learning to adapt to
individual user needs, suggesting commands and actions based on past workflows.
Dassault Systèmes SolidWorks (with 3D Creator and 3D Sculptor roles on the 3DEXPERIENCE platform) is based on a Design Assistant, an AI-powered tool within 3D Creator and 3D Sculptor to reduce repetitive tasks. The Sketch Helper: Predicts what you will sketch next based on previous sketches. Text-to-CAD generates precise B-rep CAD models from simple text prompts, leveraging machine learning for manufacturing-ready outputs.
Overleaf is an online collaborative LaTeX editor used by the academic community at TUCN for writing, editing, and publishing scientific documents, theses, and articles with professional typesetting, in fields that require complex formatting like mathematics, computer science, and engineering.
Adobe Acrobat Pro is a tool used to create, edit, sign, and manage PDF documents securely. At TUCN, it supports digital workflows by enabling the preparation, editing, and official signing of academic and administrative documents.
ETAP (Electrical Transient Analyzer Program) is a specialized software used for the analysis, design, simulation, monitoring, and optimization of electric power systems. It is widely used in industry, engineering, and utilities to model low, medium, and high-voltage electrical networks. Its main functionalities include power flow analysis, short circuit studies, stability analysis, protection coordination, harmonics analysis, and reliability studies. ETAP is valued for the accuracy of its simulations and its intuitive graphical interface, making it an essential tool in the design and operation of safe and efficient electrical networks.
