3 papers
cond-mat.mtrl-sci2024
3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures
Jiwei Yu, Zhangwei Wang, Aparna Saksena +8
Quantitative analysis of microstructural features on the nanoscale, including precipitates, local chemical orderings (LCOs) or structural defects (e.g. stacking faults) plays a piv…
cs.LG2024
Derivative-free tree optimization for complex systems
Ye Wei, Bo Peng, Ruiwen Xie +5
A tremendous range of design tasks in materials, physics, and biology can be formulated as finding the optimum of an objective function depending on many parameters without knowing…
cond-mat.mtrl-sci2024
Roadmap on Data-Centric Materials Science
Stefan Bauer, Peter Benner, Tristan Bereau +58
Science is and always has been based on data, but the terms "data-centric" and the "4th paradigm of" materials research indicate a radical change in how information is retrieved, h…