most citedComputationally accelerated experimental materials characterization -- drawing inspiration from high-throughput simulation workflows

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mtrl-sci2022★ 4 cited

Computationally accelerated experimental materials characterization -- drawing inspiration from high-throughput simulation workflows

Markus Stricker, Lars Banko, Nik Sarazin +5

Computational materials science increasingly benefits from data management, automation, and algorithm-based decision-making for the simulation of material properties and behavior.…