journal article·2025-09-23

Precursor Engineering of Atomic Layer Deposition for Top-Gate Insulators on Monolayer MoS2 Transistors

Alexander B. Shearer, Jung-Soo Ko, Anh Tuan Hoang, Andreas Werbrouck, Amnon Rothman, Dea Fackovic Volcanjk, Yuan-Mau Lee, Robert K. A. Bennett, Andrew J. Mannix, Krishna C. Saraswat, Eric Pop, Stacey F. Bent

ACS Nano· Volume 19· Issue 37
Publisher page

Abstract

Integration of ultrathin, high-quality gate insulators is critical to the success of two-dimensional (2D) semiconductor transistors in next-generation nanoelectronics. Here, we investigate the impact of atomic layer deposition (ALD) precursor choice on the nucleation and growth of insulators on monolayer MoS 2 . Surveying a series of aluminum (AlO x ) precursors, we observe that increasing the length of the ligands reduces the nucleation delay of alumina on monolayer MoS 2, a phenomenon that we attribute to improved van der Waals dispersion interactions with the 2D material. Using the precursor triisobutylaluminum (TIBA), we achieve uniform coverage of ∼3 nm AlO x on MoS 2 after just 30 cycles. We also build top-gated transistors with alumina seed layers grown by different precursors, demonstrating how the nucleation behavior of the seed layer influences the device behavior. With a bilayer stack of TIBA-AlO x and HfO 2 as the top-gate insulator, we achieve n -type MoS 2 transistors with negligible hysteresis, small and positive threshold voltage, ∼80 mV/dec subthreshold swing at room temperature, and a top-gate equivalent oxide thickness of 0.95 nm. Through this work, we develop a simple, industry-compatible, all-ALD process for depositing a top-gate insulator directly on monolayer MoS 2, and we elucidate critical insights into how the ALD chemistry can be tuned to improve insulator deposition.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Semiconductor materials and devices · Ferroelectric and Negative Capacitance Devices · Advanced Memory and Neural Computing

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

Affiliations

Department of Chemical Engineering

Stanford University

Department of Electrical Engineering

Materials Science and Engineering

Department of Chemistry

Department of Energy Science & Engineering

Funding

Samsung · Defense Advanced Research Projects Agency · Basic Energy Sciences · Semiconductor Research Corporation · National Science Foundation · Taiwan Semiconductor Manufacturing Company

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