] decays as 1∕𝑛 leading to a convergent behaviour. WTmetaD convergence was demonstrated initially for infinitesimally narrow kernel functions and more recently for any 𝐺(𝐬, 𝐬 𝐧 ). By changing the parameter Δ𝑇 , a controlled enhancement of the fluctuations in 𝐬 can be achieved, leading to the asymptotic convergence of the bias in the long-time limit: 𝑉 (𝐬, 𝑡 → ∞) = -Δ𝑇 𝑇 +Δ𝑇 𝐹 (𝐬) + 𝑐(𝑡), where 𝐹 (𝐬) is the free energy in the set collective variables 𝐬, and 𝑐(𝑡) is a time-dependent constant .