(Limited Time offer, exp. Dec 31st)
(USA and Canada Only)

Abaqus Bioengineering Research Program: (Limited Time offer, exp Dec 31st, USA and Canada Only)
Abaqus FEA software from SIMULIA is the industry-leading simulation software for bioengineering applications. For a limited time, SIMULIA is offering a unique Abaqus FEA Bioengineering Program with attractive benefits to new licensees of Abaqus Research Edition.

• Discounts for selected Abaqus add-on products!
• Access to additional free Abaqus analysis tokens for cluster computing up to 128 CPUs!
• Access to free licenses of Abaqus Teaching edition
• 80% discount on training courses
• Potential for collaborative discussions, technical guidance, and other opportunities with SIMULIA!

Get program and application details today.

Abaqus Student Edition
You may also be interested in learning more about the Abaqus Student Edition. This FEA software package is a ideal for students who want to use Abaqus as part of their coursework or for those that simply wish to begin using or improve their skills with the software. we are currently offering a free download for academic users in North America at http://campus.3ds.com/simulia/freese. The software is regularly priced at $99.00. This is a great opportunity for you explore Abaqus FEA software for free!

Why Abaqus FEA:
The Abaqus Unified FEA product suite has an unsurpassed reputation for technology, quality and reliability. It has been adopted by major corporations across all engineering disciplines as an integral part of their design process. It is the software of choice for solving complex problems. Abaqus Research Edition has the same functionality as our commercial versions and is a powerful tool for conducting state of the art research. Students in master and doctoral level programs are able to analyze and solve realistic engineering problems. Powerful user-defined subroutines allow flexibility in modeling advanced research materials, complex surface and contact behaviors and other user-specific features. With no nodal limitations, researchers can work on large, complex models.