diff --git a/Manifest.toml b/Manifest.toml
new file mode 100644
index 0000000000..458940d7b5
--- /dev/null
+++ b/Manifest.toml
@@ -0,0 +1,1091 @@
+# This file is machine-generated - editing it directly is not advised
+
+julia_version = "1.10.10"
+manifest_format = "2.0"
+project_hash = "81dcba448c4dbd5755aa19be449f54e505a4f012"
+
+[[deps.ADTypes]]
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+uuid = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
+version = "1.18.0"
+
+    [deps.ADTypes.extensions]
+    ADTypesChainRulesCoreExt = "ChainRulesCore"
+    ADTypesConstructionBaseExt = "ConstructionBase"
+    ADTypesEnzymeCoreExt = "EnzymeCore"
+
+    [deps.ADTypes.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+    ConstructionBase = "187b0558-2788-49d3-abe0-74a17ed4e7c9"
+    EnzymeCore = "f151be2c-9106-41f4-ab19-57ee4f262869"
+
+[[deps.AbstractFFTs]]
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+uuid = "621f4979-c628-5d54-868e-fcf4e3e8185c"
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+
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+    AbstractFFTsChainRulesCoreExt = "ChainRulesCore"
+    AbstractFFTsTestExt = "Test"
+
+[[deps.Accessors]]
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+    IntervalSetsExt = "IntervalSets"
+    LinearAlgebraExt = "LinearAlgebra"
+    StaticArraysExt = "StaticArrays"
+    StructArraysExt = "StructArrays"
+    TestExt = "Test"
+    UnitfulExt = "Unitful"
+
+    [deps.Accessors.weakdeps]
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+    IntervalSets = "8197267c-284f-5f27-9208-e0e47529a953"
+    LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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+    Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+    Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"
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+    [deps.Adapt.extensions]
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+    AdaptStaticArraysExt = "StaticArrays"
+
+[[deps.AliasTables]]
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+    ArrayInterfaceBlockBandedMatricesExt = "BlockBandedMatrices"
+    ArrayInterfaceCUDAExt = "CUDA"
+    ArrayInterfaceCUDSSExt = ["CUDSS", "CUDA"]
+    ArrayInterfaceChainRulesCoreExt = "ChainRulesCore"
+    ArrayInterfaceChainRulesExt = "ChainRules"
+    ArrayInterfaceGPUArraysCoreExt = "GPUArraysCore"
+    ArrayInterfaceMetalExt = "Metal"
+    ArrayInterfaceReverseDiffExt = "ReverseDiff"
+    ArrayInterfaceSparseArraysExt = "SparseArrays"
+    ArrayInterfaceStaticArraysCoreExt = "StaticArraysCore"
+    ArrayInterfaceTrackerExt = "Tracker"
+
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+    BrillouinPlotlyJSExt = "PlotlyJS"
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+
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+
+    [deps.Roots.extensions]
+    RootsChainRulesCoreExt = "ChainRulesCore"
+    RootsForwardDiffExt = "ForwardDiff"
+    RootsIntervalRootFindingExt = "IntervalRootFinding"
+    RootsSymPyExt = "SymPy"
+    RootsSymPyPythonCallExt = "SymPyPythonCall"
+    RootsUnitfulExt = "Unitful"
+
+    [deps.Roots.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+    ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
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+    SymPy = "24249f21-da20-56a4-8eb1-6a02cf4ae2e6"
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+[[deps.SHA]]
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+
+[[deps.Sockets]]
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+[[deps.SortingAlgorithms]]
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+
+[[deps.SpecialFunctions]]
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+weakdeps = ["ChainRulesCore"]
+
+    [deps.SpecialFunctions.extensions]
+    SpecialFunctionsChainRulesCoreExt = "ChainRulesCore"
+
+[[deps.Spglib]]
+deps = ["CrystallographyCore", "StaticArraysCore", "StructEquality", "spglib_jll"]
+git-tree-sha1 = "3260e525f1aa94d4b420b5ff845c672190c25dc5"
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+[[deps.StaticArrays]]
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+weakdeps = ["ChainRulesCore", "Statistics"]
+
+    [deps.StaticArrays.extensions]
+    StaticArraysChainRulesCoreExt = "ChainRulesCore"
+    StaticArraysStatisticsExt = "Statistics"
+
+[[deps.StaticArraysCore]]
+git-tree-sha1 = "6ab403037779dae8c514bad259f32a447262455a"
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+[[deps.Statistics]]
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+
+[[deps.StatsAPI]]
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+[[deps.StatsBase]]
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+[[deps.StructEquality]]
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+[[deps.SuiteSparse_jll]]
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+
+[[deps.TOML]]
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+
+[[deps.Tar]]
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+[[deps.Test]]
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+
+[[deps.TimerOutputs]]
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+
+    [deps.TimerOutputs.extensions]
+    FlameGraphsExt = "FlameGraphs"
+
+    [deps.TimerOutputs.weakdeps]
+    FlameGraphs = "08572546-2f56-4bcf-ba4e-bab62c3a3f89"
+
+[[deps.UUIDs]]
+deps = ["Random", "SHA"]
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+
+[[deps.UnPack]]
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+[[deps.Unicode]]
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+
+    [deps.Unitful.extensions]
+    ConstructionBaseUnitfulExt = "ConstructionBase"
+    ForwardDiffExt = "ForwardDiff"
+    InverseFunctionsUnitfulExt = "InverseFunctions"
+    LatexifyExt = ["Latexify", "LaTeXStrings"]
+    PrintfExt = "Printf"
+
+    [deps.Unitful.weakdeps]
+    ConstructionBase = "187b0558-2788-49d3-abe0-74a17ed4e7c9"
+    ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
+    InverseFunctions = "3587e190-3f89-42d0-90ee-14403ec27112"
+    LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
+    Latexify = "23fbe1c1-3f47-55db-b15f-69d7ec21a316"
+    Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
+
+[[deps.UnitfulAtomic]]
+deps = ["Unitful"]
+git-tree-sha1 = "903be579194534af1c4b4778d1ace676ca042238"
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+[[deps.VectorInterface]]
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+
+[[deps.WoodburyMatrices]]
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+
+[[deps.XML2_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Libiconv_jll", "Zlib_jll"]
+git-tree-sha1 = "5c959b708667b34cb758e8d7c6f8e69b94c32deb"
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+[[deps.Zlib_jll]]
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+version = "1.2.13+1"
+
+[[deps.libblastrampoline_jll]]
+deps = ["Artifacts", "Libdl"]
+uuid = "8e850b90-86db-534c-a0d3-1478176c7d93"
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+
+[[deps.nghttp2_jll]]
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+uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d"
+version = "1.52.0+1"
+
+[[deps.oneTBB_jll]]
+deps = ["Artifacts", "JLLWrappers", "LazyArtifacts", "Libdl"]
+git-tree-sha1 = "1350188a69a6e46f799d3945beef36435ed7262f"
+uuid = "1317d2d5-d96f-522e-a858-c73665f53c3e"
+version = "2022.0.0+1"
+
+[[deps.p7zip_jll]]
+deps = ["Artifacts", "Libdl"]
+uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0"
+version = "17.4.0+2"
+
+[[deps.spglib_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "bc328924cf4975fe49e6416f7e1622e8ceda55e8"
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diff --git a/src/DispatchFunctional.jl b/src/DispatchFunctional.jl
index 20373c191b..5fb3daf05c 100644
--- a/src/DispatchFunctional.jl
+++ b/src/DispatchFunctional.jl
@@ -21,7 +21,6 @@ function LibxcFunctional(identifier::Symbol)
     LibxcFunctional{family,kind}(identifier)
 end
 
-DftFunctionals.identifier(fun::LibxcFunctional) = fun.identifier
 function DftFunctionals.has_energy(func::LibxcFunctional)
     0 in Libxc.supported_derivatives(Libxc.Functional(func.identifier))
 end
@@ -140,7 +139,6 @@ struct DispatchFunctional{Family,Kind} <: Functional{Family,Kind}
     inner::LibxcFunctional{Family,Kind}
 end
 DispatchFunctional(identifier::Symbol) = DispatchFunctional(LibxcFunctional(identifier))
-DftFunctionals.identifier(fun::DispatchFunctional) = identifier(fun.inner)
 DftFunctionals.has_energy(fun::DispatchFunctional) = has_energy(fun.inner)
 
 for fun in (:potential_terms, :kernel_terms)
@@ -150,7 +148,7 @@ for fun in (:potential_terms, :kernel_terms)
             $fun(fun.inner, ρ, args...)
         end
         function DftFunctionals.$fun(fun::DispatchFunctional, ρ::AbstractMatrix, args...)
-            $fun(DftFunctional(identifier(fun)), ρ, args...)
+            $fun(DftFunctional(fun.inner.identifier), ρ, args...)
         end
     end
 end
diff --git a/src/terms/xc.jl b/src/terms/xc.jl
index b9ead3cdd3..aa98c08b26 100644
--- a/src/terms/xc.jl
+++ b/src/terms/xc.jl
@@ -25,7 +25,14 @@ end
 
 function Base.show(io::IO, xc::Xc)
     fac = isone(xc.scaling_factor) ? "" : ", scaling_factor=$(xc.scaling_factor)"
-    fun = join(xc.functionals, ", ")
+    functional_identifiers = map(xc.functionals) do f
+        if f isa DispatchFunctional
+            string(f.inner.identifier)
+        else
+            string(f)
+        end
+    end
+    fun = join(functional_identifiers, ", ")
     print(io, "Xc($fun$fac)")
 end
 
@@ -38,17 +45,8 @@ function (xc::Xc)(basis::PlaneWaveBasis{T}) where {T}
         ρcore = ρ_from_total(basis, atomic_total_density(basis, CoreDensity()))
         minimum(ρcore) < -sqrt(eps(T)) && @warn("Negative ρcore detected: $(minimum(ρcore))")
     end
-    functionals = map(xc.functionals) do fun
-        # Strip duals from functional parameters if needed
-        params = parameters(fun)
-        if !isempty(params)
-            newparams = convert_dual.(T, params)
-            fun = change_parameters(fun, newparams; keep_identifier=true)
-        end
-        fun
-    end
-    TermXc(convert(Vector{Functional}, functionals),
-           convert_dual(T, xc.scaling_factor),
+    TermXc(xc.functionals,
+           T(xc.scaling_factor),
            T(xc.potential_threshold), ρcore)
 end
 
diff --git a/src/workarounds/forwarddiff_rules.jl b/src/workarounds/forwarddiff_rules.jl
index c9295085f9..c7cbed6412 100644
--- a/src/workarounds/forwarddiff_rules.jl
+++ b/src/workarounds/forwarddiff_rules.jl
@@ -172,7 +172,7 @@ function construct_value(model::Model{T}) where {T <: Dual}
           model.model_name,
           model.n_electrons,
           magnetic_moments=value_type(T)[],  # Symmetries given explicitly
-          terms=model.term_types,
+          terms=map(construct_term_value, model.term_types),
           temperature=ForwardDiff.value(model.temperature),
           model.smearing,
           εF=ForwardDiff.value(model.εF),
@@ -203,6 +203,28 @@ function construct_value(psp::PspUpf{T,I}) where {T <: AbstractFloat, I <: Abstr
     psp
 end
 
+# term types don't have a supertype, so we use a different function name
+# by default, don't convert
+construct_term_value(x::Any) = x
+function construct_term_value(x::Xc)
+    functionals = map(x.functionals) do f
+        if f isa DispatchFunctional
+            f
+        else
+            construct_value(f)
+        end
+    end
+    Xc(functionals, ForwardDiff.value(x.scaling_factor), x.potential_threshold, x.use_nlcc)
+end
+# get the value of each field of the functional
+@generated function construct_value(x::F) where {F <: DftFunctionals.Functional}
+    new_arguments = map(fieldnames(F)) do fn
+        :(ForwardDiff.value(x.$fn))
+    end
+    # Use typename(...).wrapper to reconstruct the correct parametrized type (without Duals)
+    :($(Base.typename(F).wrapper)($(new_arguments...)))
+end
+
 function construct_value(basis::PlaneWaveBasis{T}) where {T <: Dual}
     # NOTE: This is a pretty slow function as it *recomputes* basically
     #       everything instead of just extracting the primal data contained
diff --git a/test/forwarddiff.jl b/test/forwarddiff.jl
index 6b0293f678..4c4ecebae4 100644
--- a/test/forwarddiff.jl
+++ b/test/forwarddiff.jl
@@ -214,7 +214,7 @@ end
         pos = [[1.01, 1.02, 1.03] / 8, -ones(3) / 8]
         pbec = DftFunctional(:gga_c_pbe)
         pbex = DftFunctional(:gga_x_pbe)
-        pbex = change_parameters(pbex, parameters(pbex) + ComponentArray(κ=0, μ=ε1))
+        pbex = DftFunctionals.PbeExchange(; κ=pbex.κ, μ=pbex.μ+ε1)
 
         model = model_DFT(Matrix{T}(silicon.lattice), silicon.atoms, pos;
                           functionals=[pbex, pbec])