Chips in the Flatland : 2D Semiconductors for Future Computing Electronic
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866913162585964544 |
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| author | Trakarnvanich, Narin Sanchali, Mitra Su, Tong Meng, Haiyu Lu, Jing Ang, Kah-Wee Li, Lain-Jong Lau, Chit Siong Ang, Yee Sin |
| author_facet | Trakarnvanich, Narin Sanchali, Mitra Su, Tong Meng, Haiyu Lu, Jing Ang, Kah-Wee Li, Lain-Jong Lau, Chit Siong Ang, Yee Sin |
| contents | As transistor scaling approaches its fundamental physical limits in the Angstrom era, two-dimensional (2D) semiconductors have emerged as the promising channel material candidates for future computing. While the device physics of 2D semiconductors have been rigorously explored, translating these nanodevices into fully functional integrated circuits remains a largely uncharted frontier. This review bridges the gap between material- and device-centric breakthroughs and circuit-level chip design in 2D semiconductors, a valley of death that has so far prevented translation of high-performance individual transistors into functional chips. We track the evolution of 2D semi-conductor field-effect transistors from basic Boolean logic families and standard cells to complex chip architectures, including recent milestones in RISC-V and monolithic CMOS microprocessors. Critically, we highlight the indispensable role of multiscale compact modeling, spanning semiclassical, quantum-hybrid and data-driven approaches, as the necessary link between device physics and the electronic design automation workflows for scalable chip development. By summarizing recent breakthroughs and identifying the bottlenecks in both fab and fabless trajectories of 2D semiconductors, this review shall provide insights that motivates the translation of proof-of-concept 2D transistors into fully functional computing chips, paving a way towards future Angstrom era computing technology empowered by 2D semiconductors. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_26555 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Chips in the Flatland : 2D Semiconductors for Future Computing Electronic Trakarnvanich, Narin Sanchali, Mitra Su, Tong Meng, Haiyu Lu, Jing Ang, Kah-Wee Li, Lain-Jong Lau, Chit Siong Ang, Yee Sin Applied Physics As transistor scaling approaches its fundamental physical limits in the Angstrom era, two-dimensional (2D) semiconductors have emerged as the promising channel material candidates for future computing. While the device physics of 2D semiconductors have been rigorously explored, translating these nanodevices into fully functional integrated circuits remains a largely uncharted frontier. This review bridges the gap between material- and device-centric breakthroughs and circuit-level chip design in 2D semiconductors, a valley of death that has so far prevented translation of high-performance individual transistors into functional chips. We track the evolution of 2D semi-conductor field-effect transistors from basic Boolean logic families and standard cells to complex chip architectures, including recent milestones in RISC-V and monolithic CMOS microprocessors. Critically, we highlight the indispensable role of multiscale compact modeling, spanning semiclassical, quantum-hybrid and data-driven approaches, as the necessary link between device physics and the electronic design automation workflows for scalable chip development. By summarizing recent breakthroughs and identifying the bottlenecks in both fab and fabless trajectories of 2D semiconductors, this review shall provide insights that motivates the translation of proof-of-concept 2D transistors into fully functional computing chips, paving a way towards future Angstrom era computing technology empowered by 2D semiconductors. |
| title | Chips in the Flatland : 2D Semiconductors for Future Computing Electronic |
| topic | Applied Physics |
| url | https://arxiv.org/abs/2605.26555 |