BetaCitation Atlas

RESEARCH PAPER · Applied Physics Reviews · 2025

Materials discovery in combinatorial and high-throughput synthesis and processing: A new Frontier for SPM

Read original paper ↗

See where this research leads.

9 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Materials discovery in combinatorial and high-throughput synthesis and processing: A new Frontier for SPMOriginalAtomic force microscopy for ferroelectric materials research2Quantitative and artificial intelligence-enhanced conductive atomic force microscopy0A scientist's guide to AI-driven molecular discovery3A Purpose-Built Open Source Liquid Handler for Industry-Class Automated Experiments0Machine Learning-Guided Discovery of High-Performance Perovskite Solar Cells via Cluster Analysis and Experimental Validation1Automation of nanoindentation targeting control using machine vision0High‐Resolution Corrosion Fingerprinting of Alloy Libraries via Microdroplet Spectroelectrochemistry2A Review of State-of-Charge Estimation Methods for Lithium-Ion Batteries Based on Improved Particle Filtering Algorithms0Multimodal Scanning Probe Microscopy for Advanced Surface and Interface Characterization0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Browse Matching Papers

Papers that cite this work

9 direct citing papers saved.

  1. Atomic force microscopy for ferroelectric materials research

    Journal of Materials Chemistry C · 2026-01-01

    Yeongyu Kim, Kunwoo Park, Seonggon Han, Dongyan Chen, Dong-Hun Kim, Gumin Kang, Seungbum Hong

    Read original paper ↗ ·
  2. Quantitative and artificial intelligence-enhanced conductive atomic force microscopy

    Journal of Materials Chemistry C · 2026-01-01

    Pravini S. Fernando, Jeffrey M. Mativetsky

    Read original paper ↗ ·
  3. A scientist's guide to AI-driven molecular discovery

    Artificial Intelligence Chemistry · 2026-01-24

    Jakes Udabe

    Read original paper ↗ ·
  4. A Purpose-Built Open Source Liquid Handler for Industry-Class Automated Experiments

    bioRxiv (Cold Spring Harbor Laboratory) · 2026-03-03

    Stefan M. Golas, Bryant Gill, Kyle Wardlow, Aidan Baydush, Johannes Linzbach, Emma J. Chory

    Read original paper ↗ ·
  5. Machine Learning-Guided Discovery of High-Performance Perovskite Solar Cells via Cluster Analysis and Experimental Validation

    ACS Applied Materials & Interfaces · 2026-03-31

    Wajeeha Rahman, Chengquan Zhong, Jingzi Zhang, Xu Zhu, Shahid Hameed Ullah, Riffat Jehan, Jiakai Liu, Kailong Hu, Xi Lin

    Read original paper ↗ ·
  6. Automation of nanoindentation targeting control using machine vision

    Review of Scientific Instruments · 2026-04-01

    Vivek K. Chawla, Dayakar Penumadu, Sergei V. Kalinin

    Read original paper ↗ ·
  7. High‐Resolution Corrosion Fingerprinting of Alloy Libraries via Microdroplet Spectroelectrochemistry

    Advanced Engineering Materials · 2026-07-11

    Ekaterina Kurchavova, Oumaïma Gharbi, Mireille Turmine, Vincent Vivier

    Read original paper ↗ ·
  8. A Review of State-of-Charge Estimation Methods for Lithium-Ion Batteries Based on Improved Particle Filtering Algorithms

    Journal of Energy Engineering · 2026-08-17

    Shunli Wang, Liya Zhang, Mamadou Fall, Etse Dablu Bobobee, Carlos Fernández

    Read original paper ↗ ·
  9. Multimodal Scanning Probe Microscopy for Advanced Surface and Interface Characterization

    Surface and Interface Analysis · 2026-09-02

    Behnam Esmaeilzadeh

    Read original paper ↗ ·