update rev sim paper details

Author: jgreener64

docs/src/differentiable.md

@@ -428,7 +428,7 @@ The [code is available](https://github.com/greener-group/GB99dms).
 
 ## Reversible simulation
 
-Molly.jl was also used to code [reversible simulation](https://arxiv.org/abs/2412.04374), an extension of differentiable simulation with RAD where the gradients are calculated explicitly.
+Molly.jl was also used to code [reversible simulation](https://doi.org/10.1073/pnas.2426058122), an extension of differentiable simulation with RAD where the gradients are calculated explicitly.
 This means the memory cost is constant in step number.
 
 ## Molecular loss functions

docs/src/publications.md

@@ -11,6 +11,6 @@ Other papers that use, contribute to or are compatible with Molly are listed bel
 - Martínez L. CellListMap.jl: Efficient and customizable cell list implementation for calculation of pairwise particle properties within a cutoff, [Comput Phys Commun](https://doi.org/10.1016/j.cpc.2022.108452) 279, 108452 (2022)
 - Witt WC et al. ACEpotentials.jl: A Julia implementation of the atomic cluster expansion, [J Chem Phys](https://doi.org/10.1063/5.0158783) 159, 164101 (2023)
 - Blassel N and Stoltz G. Fixing the Flux: A Dual Approach to Computing Transport Coefficients, [Journal of Statistical Physics](https://doi.org/10.1007/s10955-024-03230-x) 191, 17 (2024)
-- Greener JG. Reversible molecular simulation for training classical and machine learning force field, [arXiv](https://arxiv.org/abs/2412.04374) (2024)
 - Spacek R, Monmarché P and Stoltz G. Transient Subtraction: A Control Variate Method for Computing Transport Coefficients, [Journal of Statistical Physics](https://doi.org/10.1007/s10955-025-03424-x) 192, 53 (2025)
 - Wu X, Shang X. Stochastic Norton Dynamics: An Alternative Approach for the Computation of Transport Coefficients in Dissipative Particle Dynamics, [arXiv](https://arxiv.org/abs/2504.14479) (2025)
+- Greener JG. Reversible molecular simulation for training classical and machine learning force field, [Proceedings of the National Academy of Sciences](https://doi.org/10.1073/pnas.2426058122) 122(22), e2426058122 (2025)