activity
20172021
most citedFast data sorting with modified principal component analysis to distinguish unique single molecular break junction trajectories

50 citations · 94 across the 5 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2021★ 2 cited

Bayesian Optimization of High-Entropy Alloy Compositions for Electrocatalytic Oxygen Reduction

Jack K. Pedersen, Christian M. Clausen, Olga A. Krysiak +10

Active, selective and stable catalysts are imperative for sustainable energy conversion, and engineering materials with such properties are highly desired. High-entropy alloys (HEA…

physics.ins-det2019★ 38 cited

First operation of the KATRIN experiment with tritium

M. Aker, K. Altenmüller, M. Arenz +168

The determination of the neutrino mass is one of the major challenges in astroparticle physics today. Direct neutrino mass experiments, based solely on the kinematics of beta-decay…

physics.ins-det2018★ 4 cited

Reduction of stored-particle background by a magnetic pulse method at the KATRIN experiment

KATRIN Collaboration, M. Arenz, W. -J. Baek +127

The KATRIN experiment aims to determine the effective electron neutrino mass with a sensitivity of (90\% C.L.) by precision measurement of the shape of the t…

cond-mat.mes-hall2017

Vector-based categorization analysis with improved principal component generated reference

Joseph M. Hamill, Matthias Arenz

With automated measurements, large data sets can be assembled with relative ease. Often these data sets have a large degree of variance. Nonetheless, we hope to find groups within…

cond-mat.mes-hall2017★ 50 cited

Fast data sorting with modified principal component analysis to distinguish unique single molecular break junction trajectories

J. M. Hamill, X. T. Zhao, G. Mészáros +2

A simple and fast analysis method to sort large data sets into groups with shared distinguishing characteristics is described, and applied to single molecular break junction conduc…