Update README.md

README.md

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 ## Dataset Description
 
 - **Homepage:** [matpes.ai](http://matpes.ai)
-- **Paper:** [Preprint](https://doi.org/10.48550/arXiv.2503.04070)
+- **Paper:** [A Foundational Potential Energy Surface Dataset for Materials](https://doi.org/10.48550/arXiv.2503.04070)
 - **Leaderboard:** [MatCalc-Benchmark](http://matpes.ai/benchmarks)
 - **Point of Contact:** [Materials Virtual Lab]
 
@@ -40,7 +40,7 @@ table.  MatPES is an initiative by the [Materials Virtual Lab] and the [Material
 1. **Accuracy.** MatPES is computed using static DFT calculations with stringent converegence criteria.
    Please refer to the `MatPESStaticSet` in [pymatgen] for details.
 2. **Comprehensiveness.** MatPES structures are sampled using a 2-stage version of DImensionality-Reduced
-   Encoded Clusters with sTratified ([DIRECT](https//doi.org/10.1038/s41524-024-01227-4)) sampling from a greatly expanded configuration of MD structures.
+   Encoded Clusters with sTratified [DIRECT](https//doi.org/10.1038/s41524-024-01227-4) sampling from a greatly expanded configuration of MD structures.
 3. **Quality.** MatPES includes computed data from the PBE functional, as well as the high fidelity r2SCAN meta-GGA
    functional with improved description across diverse bonding and chemistries.