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Record W4414999833 · doi:10.1016/j.mattod.2025.10.004

Hole mobility in compressively strained germanium on silicon exceeds 7 × 106 cm2V-1s−1

2025· article· en· W4414999833 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMaterials Today · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Semiconductor Devices and Circuit Design
Canadian institutionsNational Research Council Canada
FundersNational Research Council CanadaEngineering and Physical Sciences Research CouncilNational Research Council
KeywordsGermaniumSiliconEpitaxySemiconductorElectronicsElectron mobilityQuantumSilicon-germanium

Abstract

fetched live from OpenAlex

The concurrent achievement of the record-low resistance charge transport and compatibility with spin qubit technology in solid-state materials is a critical milestone for advancing high-speed, energy-efficient classical and quantum electronics technologies. Here, we demonstrate that holes, the positively charged counterparts of electrons, can propagate with exceptional ease in a nanometres-thin compressively strained germanium layer epitaxially grown on a silicon substrate. Through precise material engineering, we achieve a record-breaking hole mobility of 7.15 × 10 6 cm 2 V -1 s −1 at a density of 1.7 × 10 11 cm −2 , establishing a new benchmark for hole transport in group-IV semiconductor materials, importantly, epitaxially grown on a silicon substrate. Our work outlines a design strategy for realising an ultra-clean, low-dimensional system that confines highly mobile holes within a quantum well, while maintaining excellent electrostatic tunability. Crucially, the observed high hole mobility is achieved in gated Hall-bar devices, demonstrating their practical viability for scalable cryogenic classical and quantum electronics applications. These findings unlock new opportunities for a high-performance semiconductor platform capable of underpinning the next generation of quantum information processing, cloud data centres, AI-driven technologies and energy-efficient electronics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.250
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it