56 citations · 67 across the 3 of their papers we have counts for
3 papers
On-the-fly Autonomous Control of Neutron Diffraction via Physics-Informed Bayesian Active Learning
Austin McDannald, Matthias Frontzek, Andrei T. Savici +8
Neutron scattering is a unique and versatile characterization technique for probing the magnetic structure and dynamics of materials. However, instruments at neutron scattering fac…
Designing over uncertain outcomes with stochastic sampling Bayesian optimization
Peter D. Tonner, Daniel V. Samarov, A. Gilad Kusne
Optimization is becoming increasingly common in scientific and engineering domains. Oftentimes, these problems involve various levels of stochasticity or uncertainty in generating…
Local kernel canonical correlation analysis with application to virtual drug screening
Daniel Samarov, J. S. Marron, Yufeng Liu +2
Drug discovery is the process of identifying compounds which have potentially meaningful biological activity. A major challenge that arises is that the number of compounds to searc…