journal article·2025-09-10Open access

Neuromorphic Photoresponse in Ultrathin SnS2-Based Field Effect Transistor

Sebastiano De Stefano, Ofelia Durante, Andrea Sessa, Antonio Politano, Gianluca D’Olimpio, Tsotne Dadiani, Enver Faella, Adrian Dinescu, Catalin Parvulescu, Crispin Hetherington, Chia-Nung Kuo, Chin Shan Lue, Martino Aldrigo, Maurizio Passacantando, Antonio Di Bartolomeo

ACS Applied Materials & Interfaces· Volume 17· Issue 36

Abstract

High Resolution Image Download MS PowerPoint Slide As artificial intelligence continues to evolve, neuromorphic technologies, which emulate biological neural networks, are increasingly seen as a promising direction. Two-dimensional materials are considered promising for neuromorphic applications due to their tunable electrical and optoelectronic properties. In this work, a back-gated tin disulfide (SnS 2 ) field-effect transistor (FET) is electrically and optoelectronically characterized at different temperatures (80, 295, and 380 K), pressures (ambient and 10 –4 mbar), and illumination conditions (dark and laser light from 420 to 800 nm). Responsivity peaks of up to ∼100 A/W are recorded. Persistent photoconductivity is observed, with current retention after illumination ranging from 0% to ∼30% of the initial dark current, depending on temperature and gate voltage. The underlying microscopic mechanisms are analyzed, revealing a key role for trap states and ambient adsorbates, and a qualitative model is proposed to explain the observed effects. Trap states within the bandgap, often considered detrimental, are exploited to induce synaptic plasticity, with synaptic weight changes tunable from 0.001 to 3000. Temperature and gate voltage are found to be effective parameters for modulating plasticity, enabling smooth transitions between short-term and long-term behavior. These results clarify the microscopic origin of plasticity in SnS 2, demonstrate its robustness under realistic conditions, and lay the foundation for the integration of this two-dimensional material into next-generation neuromorphic architectures.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neuroscience and Neural Engineering · Phase-change materials and chalcogenides

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physics “E. R. Caianiello”

University of Salerno

University of L‘Aquila, Department of Physical and Chemical Sciences

National Institute for Research and Development in Microtechnologies

National Center for High Resolution Electron Microscopy, Centre for Analysis and Synthesis

Lund University

Department of Physics

National Cheng Kung University

Taiwan Consortium of Emergent Crystalline Materials (TCECM)

National Science and Technology Council

Funding

European Commission · European Regional Development Fund · Universit? degli Studi di Salerno

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