Evidence map›Paper›PMID 41861000›Full record

ArticleScience advances2026

HfO

Babak Bakhit, Xiao Xie, Simon M Fairclough, Atif Jan, Ingemar Persson, Giuliana Di Martino, Bonan Zhu, Caterina Ducati, Quanxi Jia, Bilge Yildiz and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2026. 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

12 authors.

Babak BakhitDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge CB3 0FS, UK.ORCID 0000-0002-3083-7536
Xiao XieSchool of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China.
Simon M FaircloughDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge CB3 0FS, UK.ORCID 0000-0003-3781-8212
Atif JanDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge CB3 0FS, UK.
Ingemar PerssonCentre for Analysis and Synthesis, Lund University, Lund 22100, Sweden.ORCID 0000-0002-2676-4856
Giuliana Di MartinoDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge CB3 0FS, UK.ORCID 0000-0001-5766-8384
Bonan ZhuSchool of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0001-5601-6130
Caterina DucatiDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge CB3 0FS, UK.ORCID 0000-0003-3366-6442
Quanxi JiaDepartment of Materials Design and Innovation, University at Buffalo, 136 Bell Hall, Buffalo, NY 14260, USA.ORCID 0000-0002-7683-5202
Bilge YildizDepartment of Nuclear Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.ORCID 0000-0002-2688-5666
Andrew J FlewittElectrical Engineering, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0FA, UK.ORCID 0000-0003-4204-4960
Judith L MacManus-DriscollDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge CB3 0FS, UK.ORCID 0000-0003-4987-6620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The escalating energy consumption of existing artificial intelligence hardware has become a serious global issue that demands immediate action. Neuromorphic computing offers promises to drastically reduce this footprint. Here, we introduce multicomponent p-type Hf(Sr,Ti)O

Identifiers

PMID41861000
PMCPMC13004029

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.