# GOALI: Machine Learning Enabled Multiscale Modeling Platform and Virtual Sensing Digital Twin for Fatigue in Metals Additive Manufacturing (MAM)

**Budget Signal Score:** 55/100

| Field | Value |
|---|---|
| Institution | Johns Hopkins University |
| Location | BALTIMORE, MD |
| Project | GOALI: Machine Learning Enabled Multiscale Modeling Platform and Virtual Sensing Digital Twin for Fatigue in Metals Additive Manufacturing (MAM) |
| Award amount | $900,000 |
| Obligated so far | $900,000 |
| Awarded | 2026-08-18 |
| Period | 2026-09-01 to 2030-08-31 |
| Program | Mechanics of Materials and Str, AM-Advanced Manufacturing, Special Initiatives |
| Directorate / division | ENG / CMMI |
| Award ID | 2612716 |

## Why this score
- Award of $300K or more.
- Equipment- and compute-heavy field.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2612716). Last refreshed: 2026-11-03T18:10:42.804Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.