Toward the end-to-end optimization of particle physics instruments with differentiable programming

T Dorigo, A Giammanco, P Vischia, M Aehle, M Bawaj… - Reviews in Physics, 2023 - Elsevier
The full optimization of the design and operation of instruments whose functioning relies on
the interaction of radiation with matter is a super-human task, due to the large dimensionality …

In vitro continuous protein evolution empowered by machine learning and automation

T Yu, AG Boob, N Singh, Y Su, H Zhao - Cell Systems, 2023 - cell.com
Directed evolution has become one of the most successful and powerful tools for protein
engineering. However, the efforts required for designing, constructing, and screening a large …

Fierz Interference Term in Neutron Beta Decay and New Approaches for Systematic Uncertainty Quantification

M Lamparth - 2023 - mediatum.ub.tum.de
Experiments of free neutron beta decays can probe the weak interaction structure for tensor
and scalar contributions. We can measure such contributions as a shift in the electron …

Non-smooth Bayesian optimization in tuning scientific applications

H Luo, Y Cho, JW Demmel… - … Journal of High …, 2024 - journals.sagepub.com
Tuning algorithmic parameters to optimize the performance of large, complicated
computational codes is an important problem involving finding the optima and identifying …