10 citations · 12 across the 3 of their papers we have counts for
4 papers
Electronic specific heat capacities and entropies from density matrix quantum Monte Carlo using Gaussian process regression to find gradients of noisy data
William Z. Van Benschoten, Laura Weiler, Gabriel J. Smith +3
We present a machine learning approach to calculating electronic specific heat capacities for a variety of benchmark molecular systems. Our models are based on data from density ma…
How the exchange energy can affect the power laws used to extrapolate the coupled cluster correlation energy to the thermodynamic limit
Tina N. Mihm, Laura Weiler, James J. Shepherd
Finite size error is commonly removed from coupled cluster theory calculations by extrapolations over correlation energy calculations of different system sizes (), wher…
Machine learning for a finite size correction in periodic coupled cluster theory calculations
Laura Weiler, Tina N. Mihm, James J. Shepherd
We introduce a straightforward Gaussian process regression (GPR) model for the transition structure factor of metal periodic coupled cluster singles and doubles (CCSD) calculations…
Effective Hamiltonians for the study of real metals using quantum chemical theories
Tina N. Mihm, Tobias Schäfer, Sai Kumar Ramadugu +2
Computationally efficient and accurate quantum mechanical approximations to solve the many-electron Schrödinger equation are at the heart of computational materials science. In tha…