Sign up for this webinar to learn how to connect your analytical models to your system model using Ansys ModelCenter, to make better-informed decisions very early in the design process of your new system.
Time:
June 1, 2023
9:30 AM ET / 2:30 PM BST
Venue:
Online
The energy sector is central to efforts to combat climate… Read More
One of the lessons learned from how COVID-19 impacted people around the world and caused many industries to come to a halt was the vital need to ensure proper cleaning and disinfection of frequently visited areas, which requires an ultraviolet (UV) light disinfection system as well as personal protective equipment (PPE).
This… Read More
Learn what computational modeling and simulation means for the healthcare industry. We’ll calculate the benefits and expected return on investment in this upcoming webinar.
TIME:
MAY 24, 2023
3 PM BST
Venue:
Virtual
Knowing that by 2025, 25% of all new pharmaceuticals will use in silico technology and conscious
This webinar is the next installment of “Laser Application Webinar, Part 1: Laser Range Finding and STOP Analysis,” where we showed how to model laser beam propagation and simulate the structural deformation caused by mechanical stress and thermo-elastic effects using Ansys Zemax OpticStudio.
In this session, we will integrate… Read More
Don’t miss this webinar; we’ll show significant advancements in PyFluent. Improve your productivity with automated processes and customized solutions.
TIME:
MAY 17, 2023
11:00 AM IST
Venue:
Virtual
We’ll highlight the significant advancements in PyFluent, which include:
The fifth/sixth generation (5G/6G) mobile networks support the growth of many applications. From delivering a new entertainment experience, they serve as the backbone of intelligent autonomous mobility, revolutionizing healthcare and propelling manufacturing into a new era of smart connected factories and products.
The industry is moving to multi-die systems to benefit from the greater compute performance, increased functionality, and new levels of flexibility. Challenges for multi-die systems are exacerbated and require greater focus on a number of requirements such as early partitioning and thermal planning, die/package co-design,… Read More
Jeff Chowaniec
Data Scientist for Aerospace, Altair
Aerospace companies collect endless amounts of time series data from sensors, systems, and simulations. Engineers can find practical insights in this data with machine learning and AI projects when they know where to look and what to do with that data.
Bulk and granular materials such as iron ore, coal, pellets and sinter are at the core of
Part 2,3 is coming! Book your seats now!
With the onset of uncertain times, lenders need to be extra cautious as delinquencies and default rates tend to increase in a recession. Safeguarding your portfolio from such economic … Read More
