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Quantum Manipulation of Valleys in Bilayer Graphene: Theory and Applications

Mesoscale and Nanoscale Physics · Submitted 6 Feb 2013

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We establish an effective Schrodinger model, and identify two key mechanisms for valley manipulation - band structure warping and generalized valley-orbit interaction.

how it is stated · asserted 1.00 read the record →

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arXiv ID1302.1318 (version 1)
Pith IDMRW7KWZJ, Pith's permanent record of this paper and its review
CitationG. Y. Wu, N.-Y. Lue, Y.-C. Chen. "Quantum Manipulation of Valleys in Bilayer Graphene: Theory and Applications." arXiv:1302.1318 (2013). https://pith.science/paper/MRW7KWZJ
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 2,888 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.06 · human participants 0.02 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.05 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Quantum manipulation of valleys in bilayer graphene is investigated. We establish an effective Schrodinger model, and identify two key mechanisms for valley manipulation - band structure warping and generalized valley-orbit interaction. Specifically, we implement valley qubits / FETs in bilayer graphene, as prospective quantum devices to build valley-based quantum / classical information processing.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Quantum manipulation of valleys in bilayer graphene is investigated. background 0.56 0.58 0.05 asserted 0.83
s1 We establish an effective Schrodinger model, and identify two key mechanisms for valley manipulation - band structure warping and generalized valley-orbit interaction. contribution 0.71 0.93 0.47 asserted 1.00
s2 Specifically, we implement valley qubits / FETs in bilayer graphene, as prospective quantum devices to build valley-based quantum / classical information processing. contribution 0.68 0.68 0.26 hedged possibility 0.61

What kind of paper the classifier reports this is: theoretical result 0.97 · evidence from proof or derivation 0.89.

What was examined, and what was not

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Quantum manipulation of valleys in bilayer graphene is investigated. We establish an effective Schrodinger model, and identify two key mechanisms for valley manipulation - band structure warping and generalized valley-orbit interaction. Specifically, we implement valley qubits / FETs in bilayer graphene, as prospective quantum devices to build valley-based quantum / classical information processing.

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