activity
20202026
most citedMachine-learning Based Extraction of the Short-Range Part of the Interaction in Non-contact Atomic Force Microscopy

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

The Breakthrough of Sleep: A Contactless Approach for Accurate Sleep Stage Detection Using the Sleepal AI Lamp

Zhuo Diao, Yueting Li, Jianpeng Wang +9

Sleep staging is essential for the assessment of sleep quality and the diagnosis of sleep-related disorders. Conventional polysomnography (PSG), while considered the gold standard,…

physics.app-ph2026

Integrating Domain-Specialized Language Models with AI Measurement Tools for Deterministic Atomic-Resolution Experimentation

Zhuo Diao, Kouma Matsumoto, Linfeng Hou +3

Self-driving laboratories based on large language models promise to transform scientific discovery through general experimental automation. However, realizing this vision on precis…

physics.app-ph2024★ 2 cited

Leveraging Large Language Models and Social Media for Automation in Scanning Probe Microscopy

Zhuo Diao, Hayato Yamashita, Masayuki Abe

We present the development of an automated scanning probe microscopy (SPM) measurement system using an advanced large-scale language model (LLM). This SPM system can receive instru…

physics.comp-ph2024★ 1 cited

AI-equipped scanning probe microscopy for autonomous site-specific atomic-level characterization at room temperature

Zhuo Diao, Keiichi Ueda, Linfeng Hou +3

We present an advanced scanning probe microscopy system enhanced with artificial intelligence (AI-SPM) designed for self-driving atomic-scale measurements. This system expertly ide…

cond-mat.mes-hall2020★ 4 cited

Machine-learning Based Extraction of the Short-Range Part of the Interaction in Non-contact Atomic Force Microscopy

Zhuo Diao, Daiki Katsube, Hayato Yamashita +3

A machine-learning method for extracting the short-range part of the probe-surface interaction from force spectroscopy curves is presented. Our machine-learning algorithm consists…