Add AWH references

[alexxy/gromacs.git] / docs / reference-manual / special / awh.rst

diff --git a/docs/reference-manual/special/awh.rst b/docs/reference-manual/special/awh.rst
index f5b2fbf225608561a66d6e6aecbf94d2b4a20315..f9e30ea273aa056c9762b5d53fed21eb996c8937 100644 (file)
--- a/docs/reference-manual/special/awh.rst
+++ b/docs/reference-manual/special/awh.rst
@@ -3,7 +3,7 @@
 Adaptive biasing with AWH
 -------------------------
 
-The accelerated weight histogram method
+The accelerated weight histogram method :ref:`185 <refLidmar2012>`
 :ref:`137 <reflindahl2014accelerated>` calculates the PMF along a reaction coordinate by adding
 an adaptively determined biasing potential. AWH flattens free energy
 barriers along the reaction coordinate by applying a history-dependent
@@ -64,7 +64,7 @@ determined accurately. Thus, AWH adaptively calculates
 toward :math:`\rho(\lambda)`.
 
 It is also possible to directly control the :math:`\lambda` state
-of, e.g., alchemical free energy perturbations. In that case there is no harmonic
+of, e.g., alchemical free energy perturbations :ref:`187 <reflundborg2021>`. In that case there is no harmonic
 potential and :math:`\lambda` changes in discrete steps along the reaction coordinate
 depending on the biased free energy difference between the :math:`\lambda` states.
 N.b., it is not yet possible to use AWH in combination with perturbed masses or
@@ -566,7 +566,7 @@ centered at :math:`\lambda` and
 is the deviation of the force. The factors :math:`\omega(\lambda|x(t))`,
 see :eq:`Eq %s <eqawhomega>`, reweight the samples.
 :math:`\eta_{\mu\nu}(\lambda)` is a friction
-tensor \ :ref:`144 <refsivak2012thermodynamic>`. Its matrix elements are inversely proportional to local
+tensor :ref:`186 <reflindahl2018>` and :ref:`144 <refsivak2012thermodynamic>`. Its matrix elements are inversely proportional to local
 diffusion coefficients. A measure of sampling (in)efficiency at each
 :math:`\lambda` is given by