English

Materials Discovery in Combinatorial and High-throughput Synthesis and Processing: A New Frontier for SPM

Materials Science 2025-04-14 v2 Applied Physics

Abstract

For over three decades, scanning probe microscopy (SPM) has been a key method for exploring material structures and functionalities at nanometer and often atomic scales in ambient, liquid, and vacuum environments. Historically, SPM applications have predominantly been downstream, with images and spectra serving as a qualitative source of data on the microstructure and properties of materials, and in rare cases of fundamental physical knowledge. However, the fast-growing developments in accelerated material synthesis via self-driving labs and established applications such as combinatorial spread libraries are poised to change this paradigm. Rapid synthesis demands matching capabilities to probe structure and functionalities of materials on small scales and with high throughput. SPM inherently meets these criteria, offering a rich and diverse array of data from a single measurement. Here, we overview SPM methods applicable to these emerging applications and emphasize their quantitativeness, focusing on piezoresponse force microscopy, electrochemical strain microscopy, conductive, and surface photovoltage measurements. We discuss the challenges and opportunities ahead, asserting that SPM will play a crucial role in closing the loop from material prediction and synthesis to characterization.

Keywords

Cite

@article{arxiv.2501.02503,
  title  = {Materials Discovery in Combinatorial and High-throughput Synthesis and Processing: A New Frontier for SPM},
  author = {Boris N. Slautin and Yongtao Liu and Kamyar Barakati and Yu Liu and Reece Emery and Seungbum Hong and Astita Dubey and Vladimir V. Shvartsman and Doru C. Lupascu and Sheryl L. Sanchez and Mahshid Ahmadi and Yunseok Kim and Evgheni Strelcov and Keith A. Brown and Philip D. Rack and Sergei V. Kalinin},
  journal= {arXiv preprint arXiv:2501.02503},
  year   = {2025}
}

Comments

63 pages, 15 figures

R2 v1 2026-06-28T20:56:41.465Z