Evidence map›Paper›PMID 40261670›Full record

ReviewChemical reviews2025

From Mining to Manufacturing: Scientific Challenges and Opportunities behind Battery Production.

Jie Xiao, Xia Cao, Bernard Gridley, William Golden, Yuchen Ji, Stacey Johnson, Dongping Lu, Feng Lin, Jun Liu, Yijin Liu and 10 more

Abstract readReview
In one paragraph

Review in Chemical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Li Jump Diffusion and Long-Range Transport in Garnet Single Crystals: Spanning the kHz-GHz Range.Chemistry of materials : a publication of the American Chemical Society · 2026
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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

20 authors.

Jie XiaoDepartment of Mechanical Engineering, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-5520-5439
Xia CaoEnergy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0003-1610-4341
Bernard GridleyAnovion Technologies, Sanborn, New York 14132, United States.
William GoldenBorman Specialty Materials, Henderson, Nevada 89105, United States.
Yuchen JiDepartment of Mechanical Engineering, University of Washington, Seattle, Washington 98195, United States.
Stacey JohnsonDivision of Research, Binghamton University, Vestal, New York 13902, United States.
Dongping LuEnergy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Feng LinDepartment of Chemistry, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0002-3729-3148
Jun LiuEnergy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Yijin LiuWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0002-8417-2488
Zhao LiuThermo Fisher Scientific, Tewksbury, Massachusetts 01876, United States.ORCID 0000-0003-0370-2406
Hemanth Neelgund RameshDepartment of Mechanical Engineering, University of Washington, Seattle, Washington 98195, United States.
Feifei ShiJohn and Willie Leone Family Department of Energy and Mineral Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.ORCID 0000-0002-2598-1867
Jeremy SchrootenAnovion Technologies, Sanborn, New York 14132, United States.
Mary J SimsNaval Postgraduate School, Monterey, California 93943, United States.
Shijing SunDepartment of Mechanical Engineering, University of Washington, Seattle, Washington 98195, United States.
Yuyan ShaoEnergy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0001-5735-2670
Alon VaismanThermo Fisher Scientific, Tewksbury, Massachusetts 01876, United States.
Jihui YangDepartment of Materials Science and Engineering, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-5022-1771
M Stanley WhittinghamDepartment of Chemistry and Materials, State University of New York at Binghamton, Binghamton, New York 13902-6000, United States.ORCID 0000-0002-5039-9334

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This Review explores the status and progress made over the past decade in the areas of raw material mining, battery materials and components scale-up, processing, and manufacturing. While substantial advancements have been achieved in understanding battery materials, the transition to large-scale manufacturing introduces scientific challenges that must be addressed from multiple perspectives. Rather than focusing on new material discoveries or incremental performance improvements, this Review focuses on the critical issues that arise in battery manufacturing and highlights the importance of cost-oriented fundamental research to bridge the knowledge gap between fundamental research and industrial production. Challenges and opportunities in integrating machine learning (ML) and artificial intelligence (AI) to digitalize the manufacturing process and eventually realize fully autonomous production are discussed. The review also emphasizes the pressing need for workforce development to meet the growing demands of the battery industry. Potential strategies are suggested for accelerating the manufacturing of current and future battery technologies, ensuring that the workforce is equipped with the necessary skills to support research, development, and large-scale production.

Identifiers

PMID40261670
PMCPMC12257466

What OpenQuestion holds

Textmetadata
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.