Yuan Yan

ORCID: 0000-0002-8987-813X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Planarian Biology and Electrostimulation
  • Cephalopods and Marine Biology
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Memory and Neural Computing
  • 2D Materials and Applications
  • Analytical Chemistry and Sensors
  • Neuroscience and Neural Engineering
  • Plant and Biological Electrophysiology Studies
  • Marine Ecology and Invasive Species
  • Gas Sensing Nanomaterials and Sensors
  • Graphene research and applications

The University of Melbourne
2023-2025

China Agricultural University
2022-2023

Jingdong (China)
2022

Two-dimensional-material-based memristor arrays hold promise for data-centric applications such as artificial intelligence and big data. However, accessing individual cells effectively controlling sneak current paths remain challenging. Here, we propose a van der Waals engineering approach to create one-transistor-one-memristor (1T1M) by assembling the emerging two-dimensional ferroelectric CuCrP2S6 with MoS2 h-BN. The memory cell exhibits high resistance tunability (106), low (120 fA),...

10.1021/acs.nanolett.4c06118 article EN cc-by Nano Letters 2025-02-03

Layered thio- and seleno-phosphate ferroelectrics, such as CuInP2S6, are promising building blocks for next-generation nonvolatile memory devices. However, because of the low Curie point, CuInP2S6-based devices suffer from poor thermal stability (<42 °C). Here, exploiting electric field-driven phase transition in rarely studied antiferroelectric CuCrP2S6 crystals, we develop a memristor showing sizable resistive-switching ratio ~ 1000, high switching endurance up to 20,000 cycles,...

10.1038/s41467-023-43628-x article EN cc-by Nature Communications 2023-11-30

Radioactive molecular iodine (I2) is a critical volatile pollutant generated in nuclear energy applications, necessitating sensors that rapidly and selectively detect low concentrations of I2 vapor to protect human health the environment. In this study, we design prepare three-component sensing material comprising reduced graphene oxide (rGO) as substrate, silver iodide (AgI) particles active sites, polystyrene sulfonate an additive. The AgI enable reversible adsorption conversion molecules...

10.1038/s41467-025-56621-3 article EN cc-by-nc-nd Nature Communications 2025-01-30

Spatial localization ability is crucial for free-living animals to fit the environment. As shown by previous studies, planarians can be conditioned discriminate directions. However, due their simplicity and primitiveness, they had never been considered have true spatial retrieve locations of objects places in Here, we introduce a light maze training paradigm demonstrate that planarian worm navigate former recognized place from start point, even if transferred into newly produced maze. This...

10.1371/journal.pone.0288118 article EN cc-by PLoS ONE 2023-07-19

Abstract Humidity sensing ability is crucial to terrestrial animals for fitting the environment. Researchers made great progress in recent study about humidity mechanisms of animals. However, it poorly understood whether exists aquatic Here, we demonstrate that planarians, one primitive forerunners later animals, has and capable using perceive water beneath itself from a drought place seek survival. The behavior discovered described as diving because worms twist its body break away mucus...

10.1101/2022.10.12.511880 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-10-16

Abstract Spatial localization ability is crucial for free-living animals to fit the environment. As shown by previous studies, planarians can be conditioned discriminate directions. However, due their simplicity and primitiveness, they had never been considered have true spatial retrieve locations of objects places in Here, we introduce a light maze training paradigm demonstrate that planarian worm navigate former recognized place from start point, even if transferred into newly produced...

10.1101/2022.11.17.516918 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-11-17
Coming Soon ...