Evidence map›Paper›PMID 39658825›Full record

ArticleNano letters2024

Energy-Efficient Integrated Electro-Optic Memristors.

Yuhan He, Nikolaos Farmakidis, Samarth Aggarwal, Bowei Dong, June Sang Lee, Mengyun Wang, Yi Zhang, Francesca Parmigiani, Harish Bhaskaran

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yuhan HeDepartment of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K.ORCID 0009-0000-0777-6029
Nikolaos FarmakidisDepartment of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K.ORCID 0000-0001-9974-1607
Samarth AggarwalDepartment of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K.ORCID 0000-0002-5442-6096
Bowei DongDepartment of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K.
June Sang LeeDepartment of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K.
Mengyun WangDepartment of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K.ORCID 0000-0002-1978-7195
Yi ZhangDepartment of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K.
Francesca ParmigianiMicrosoft Research, 198 Cambridge Science Park, Cambridge CB4 0AB, U.K.
Harish BhaskaranDepartment of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K.ORCID 0000-0003-0774-8110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuromorphic photonic processors are redefining the boundaries of classical computing by enabling high-speed multidimensional information processing within the memory. Memristors, the backbone of neuromorphic processors, retain their state after programming without static power consumption. Among them, electro-optic memristors are of great interest, as they enable dual electrical-optical functionality that bridges the efficiency of electronics and the bandwidth of photonics. However, efficient, scalable, and CMOS-compatible implementations of electro-optic memristors are still lacking. Here, we devise electro-optic memristors by structuring the phase-change material as a nanoscale constriction, geometrically confining the electrically generated heat profile to overlap with the optical field, thus achieving programmability and readability in both the electrical and optical domains. We demonstrate sub-10 pJ electrical switching energy and a high electro-optical modulation efficiency of 0.15 nJ/dB. Our work opens up opportunities for high-performance and energy-efficient integrated electro-optic neuromorphic computing.

Indexed as

dual electrical−optical functionalityelectro-optic memristorsintegrated photonicslow energy in-memory computing

Identifiers

PMID39658825
PMCPMC11674150

What OpenQuestion holds

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Registered trials

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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.