Defect Engineered Few Layered MoS <sub>2</sub> for Human–Machine Interface

Ultrasensitive flexible devices have huge applications in many areas, like healthcare monitoring, human-machine interaction, and wearable technology. However, improving the sensitivity of these devices is still challenging. In the current study, a flexible non-contact sensing system is designed with a human-machine interface using defect-engineered, few-layered Molybdenum disulfide (MoS<sub>2</sub>). The fabricated sensors show high sensitivity when monitoring proximity, humidity, and in-plane applied strain. The output performance demonstrates the influence of surface defects, which greatly impact the average surface charge of the nanosheets. The experimental measurements and in-detail density functional theoretical (DFT) calculation further reveal surface charge variations on the basal planes that correlate with topographic defects and increase sensitivity. The electrical signals for different gestures of human hands are used to illustrate the identification of multidirectional bending and sliding events. These findings will contribute to understanding the effect of surface defects that play an important role in sensing applications with human-machine interface.

Authors

Institutions

Publication Details

Journal
Small Methods
Published
2025-03-27
DOI
https://doi.org/10.1002/smtd.202500068
Citations
6
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
4.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Defect Engineered Few Layered MoS 2 for Human–Machine Interface

Chinmayee Chowde Gowda, Partha Kumbhakar, Ranjan Kumar Barik, Abhishek Kumar Singh et al.
6 citations
Small Methods
Advanced Sensor and Energy Harvesting Materials
4.04
article

Defect Engineered Few Layered MoS 2 for Human–Machine Interface

Chinmayee Chowde Gowda, Partha Kumbhakar, Ranjan Kumar Barik, Abhishek Kumar Singh, Chandra Sekhar Tiwary, Subhendu Mishra, Raksha D. Salian
article en
6 citations

Abstract

Ultrasensitive flexible devices have huge applications in many areas, like healthcare monitoring, human-machine interaction, and wearable technology. However, improving the sensitivity of these devices is still challenging. In the current study, a flexible non-contact sensing system is designed with a human-machine interface using defect-engineered, few-layered Molybdenum disulfide (MoS<sub>2</sub>). The fabricated sensors show high sensitivity when monitoring proximity, humidity, and in-plane applied strain. The output performance demonstrates the influence of surface defects, which greatly impact the average surface charge of the nanosheets. The experimental measurements and in-detail density functional theoretical (DFT) calculation further reveal surface charge variations on the basal planes that correlate with topographic defects and increase sensitivity. The electrical signals for different gestures of human hands are used to illustrate the identification of multidirectional bending and sliding events. These findings will contribute to understanding the effect of surface defects that play an important role in sensing applications with human-machine interface.

Small MethodsVol. 9(8)
Indian Institute of Technology Kharagpur (IN), Christ University (IN), Indian Institute of Science Bangalore (IN)
Science and Engineering Research Board
Openalex Percentile: Top 7%
Advanced Sensor and Energy Harvesting Materials
4.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Defect Engineered Few Layered MoS <sub>2</sub> for Human–Machine Interface — Chinmayee Chowde Gowda, Partha Kumbhakar, et al. · Small Methods (2025) | TGRS Research Map | TGRS