Evidence map›Paper›PMID 39895700›Full record

ReviewACS omega2025

Diamond Color Center Based Quantum Metrology in Industries for Energy Applications.

Tanmoy Basu, Anupam Patra, Midhun Murali, Mahesh Saini, Amit Banerjee, Tapobrata Som

Abstract readReview
In one paragraph

Review in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Tanmoy BasuCentre for Quantum Engineering, Research and Education, TCG CREST, Salt Lake, Kolkata 700091, India.ORCID https://orcid.org/0000-0002-2249-5775
Anupam PatraCentre for Quantum Engineering, Research and Education, TCG CREST, Salt Lake, Kolkata 700091, India.
Midhun MuraliCentre for Quantum Engineering, Research and Education, TCG CREST, Salt Lake, Kolkata 700091, India.
Mahesh SainiSUNAG Laboratory, Institute of Physics, Bhubaneswar 751005, Odisha, India.
Amit BanerjeeMicrosystem Design-Integration Lab, Physics Department, Bidhan Chandra College, Asansol, West Bengal 713303, India.
Tapobrata SomSUNAG Laboratory, Institute of Physics, Bhubaneswar 751005, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atomic scale defects in diamond are emerging as next-generation quantum sensors. One such defect is the nitrogen vacancy (NV) center which possesses artificial atom-like properties making it a strong contender for a room temperature solid state qubit. These spin defects are optically addressable by studying their optically detected magnetic resonance spectra (ODMR). The spin states can be initialized, controlled, and read out by a shining laser. The photoluminescence spectra contain information on the external magnetic field, electric field, temperature, etc. Thus, this type of multimodal sensor is exigent in various fields of research viz. chemistry, materials science, biology, and fundamental physics. In today's world where energy-related products are booming, deployment of quantum sensors can expedite the development. Based on existing works, this paper makes an attempt to identify the applications of color centers in diamond for energy sectors. We have highlighted the efficacy of quantum diamond sensors in the oil and gas industry, battery research, and photovoltaics. In addition, a summary of the structural and quantum properties of defects in diamond, synthesis of diamond, protocols for optical detection of spin states, different types of color centers, etc., is presented.

Identifiers

PMID39895700
PMCPMC11780468

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.