journal article·2025-08-19

More-than-Moore Approaches Implemented Using van der Waals Heterostructures

Sangmin Lee, Yeong Kwon Kim, Jongmin Noh, Byung Chul Jang, Sungjoo Lee

ACS Nano· Volume 19· Issue 32
Publisher page

Abstract

Two-dimensional (2D) materials and van der Waals (vdW) heterostructures have emerged as key enablers in addressing the fundamental limitations of silicon-based technologies, driving advancements in next-generation electronic systems. Their high carrier mobility, tunable electronic characteristics, and absence of dangling bonds, combined with their compatibility with thin-film fabrication and wafer-scale integration, allow for the seamless integration of memory, logic, and sensing into compact, energy-efficient architectures. This review highlights the transformative role of 2D materials and vdW heterostructures in reshaping computing paradigms, focusing on emerging computing (in-memory, in-sensor, bioinspired, probabilistic, and quantum) and digital security (true random number generator (TRNG) and physical unclonable functions (PUFs)). By overcoming memory-wall challenges and enabling ultralow latency and parallel processing, these advancements provide tailored solutions for artificial intelligence, edge computing, and the Internet of Things. Furthermore, the physical properties of 2D materials─including scalability, high carrier mobility, spin-orbit coupling, and quantum fluctuations─expand possibilities across computing domains. These properties not only enhance emerging computing technologies but also strengthen entropy-based random number generation and variability-driven security mechanisms in digital security applications. To fully realize these advancements and the transition from fundamental research to large-scale implementation, continued progress in materials engineering and device fabrication is essential for achieving scalable, energy-efficient, and multifunctional computing systems.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · MXene and MAX Phase Materials

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

Affiliations

SKKU Advanced Institute of Nanotechnology (SAINT)

Sungkyunkwan University

Department of Nano Science and Technology

School of Electronic and Electrical Engineering

Kyungpook National University

Department of Nano Engineering

Funding

Samsung · Ministry of Education · National Research Foundation of Korea

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