To access this element change to forms mode OFF
Grant Award View - GA142263-V3
Interface-aware numerical methods for stochastic inverse problems
GA ID:
GA142263-V3
Agency:
Australian Research Council
Approval Date:
11-Dec-2020
Variation Publish Date:
31-May-2022
Variation Date:
31-May-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
23-Oct-2021 to 22-Oct-2024
Value (AUD):
$475,000.00
(GST inclusive where applicable)
Varies:
GA142263
- Interface-aware numerical methods for stochastic inverse problems
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 20/21 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Interface-aware numerical methods for stochastic inverse problems
Purpose:
This project aims to design novel high-performance numerical tools for solving large-scale forward and inverse problems dominated by stochastic interfaces and quantifying associated uncertainties. In real-world applications such as groundwater, these tools are instrumental for assimilating big datasets into mathematical models for providing reliable predictions. By advancing and integrating high-order polytopal schemes, multilevel methods, transport maps, and dimension reduction, this project's anticipated outcomes are highly accurate and cost-efficient numerical schemes, certified by rigorous mathematical analysis. This should provide data-centric simulation tools with enhanced reliability, for engineering and scientific applications.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2021
InternalReferenceId:
DP21 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Monash University
Recipient ABN:
12 377 614 012
Grant Recipient Location
Suburb:
CLAYTON
Town/City:
CLAYTON
Postcode:
3168
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3168
Country:
AUSTRALIA