ReviewNature nanotechnology2020
Two-dimensional materials for next-generation computing technologies.
Review in Nature nanotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
139 citing papers in PubMed.
- Gate-level three-dimensional integration of two-dimensional logic cells.Nature communications · 2026Article
- Defect-Engineered Floating-Gate Synapses With Programmable Relaxation Dynamics for Multi-Timescale Neuromorphic Computing.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Twist Engineering of Photonic Crystal Cavities for Ultralow-Threshold Continuous-Wave WSAdvanced materials (Deerfield Beach, Fla.) · 2026Article
- Gate-tunable negative differential resistance in multifunctional van der Waals heterostructure.Scientific reports · 2026Article
- Analysis and Applications of Neuromorphic Memristors in Artificial Intelligence Computing.Nano-micro letters · 2026Review
- CCD Pixel Miniaturization Technologies for Spatial Resolution Enhancement.Sensors (Basel, Switzerland) · 2026Review
- Programmable radio-frequency calculations in electromagnetic-wave domain.Nature communications · 2026Article
- High-linearity all-2D heterojunction-based neuromorphic image-sensing transistor array with a sandwiched tunneling layer for dynamic vision.Nature communications · 2026Article
- CMOS-Integrated Synaptic Photoreceptor Chip Inspired by Insect Visual Processing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Rolling Up Transition Metal Chalcogenides/Oxide Heterostructures Enables Polarity-Tunable and High-Switchable Memristors.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Complementary nonlinear optics for polarimetric computing in tellurium.Nature communications · 2026Article
- Soft Probe Electrical Contact: Eliminating Electrode Deposition and Enabling Reliable Measurements of Emerging Materials.Materials (Basel, Switzerland) · 2026Article
- 2D Materials Powering Neuromorphic Intelligence.Nano-micro letters · 2026Review
- Scaling two-dimensional semiconductor nanoribbons for high-performance electronics.Nature communications · 2026Article
- Synaptic κ-GaAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Coherent quantum control of nitrogen vacancy spin with nanoscale magnets.Nature communications · 2026Article
- Plasma-Enhanced Atomic Layer Deposition Synthesis of Nanolayered Molybdenum Diselenide (MoSeACS omega · 2026Article
- Wafer-Scale Self-Limiting Epitaxy of Bernal-Stacked Single-Crystal Boron Nitride.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Oxide interface-based polymorphic electronic devices for neuromorphic computing.Nature communications · 2026Article
- Bismuth Confinement: A Strategy for Low Resistance and Good Thermal Endurance of Integrated Contacts to MoSACS nano · 2026Article
79 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid digital technology advancement has resulted in a tremendous increase in computing tasks imposing stringent energy efficiency and area efficiency requirements on next-generation computing. To meet the growing data-driven demand, in-memory computing and transistor-based computing have emerged as potent technologies for the implementation of matrix and logic computing. However, to fulfil the future computing requirements new materials are urgently needed to complement the existing Si complementary metal-oxide-semiconductor technology and new technologies must be developed to enable further diversification of electronics and their applications. The abundance and rich variety of electronic properties of two-dimensional materials have endowed them with the potential to enhance computing energy efficiency while enabling continued device downscaling to a feature size below 5 nm. In this Review, from the perspective of matrix and logic computing, we discuss the opportunities, progress and challenges of integrating two-dimensional materials with in-memory computing and transistor-based computing technologies.
Identifiers
32647168What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.