Highly Stable Silicon Anodes Enabled by Sub-10 nm Pores and Particles.

Pankaj Ghildiyal, Brandon Wagner, Jianjun Chen, Tu Nguyen, Aishwarya Belamkar, Juchen Guo, Lorenzo Mangolini

Abstract read

In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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.

Highly Stable Silicon Anodes Enabled by Sub-10 nm Pores and Particles.Small (Weinheim an der Bergstrasse, Germany) · 2025
Article

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

7 authors.

Pankaj GhildiyalSiLi-ion Inc., Multidisciplinary Research Building, 3401 Watkins Dr, Riverside, CA, 92507, USA.

Brandon WagnerMaterials Science and Engineering Program, University of California Riverside, Riverside, CA, 92521, USA.

Jianjun ChenDepartment of Chemical and Environmental Engineering, University of California Riverside, Riverside, CA, 92521, USA.

Tu NguyenDepartment of Chemical and Environmental Engineering, University of California Riverside, Riverside, CA, 92521, USA.

Aishwarya BelamkarDepartment of Mechanical Engineering, University of California Riverside, Riverside, CA, 92521, USA.

Juchen GuoMaterials Science and Engineering Program, University of California Riverside, Riverside, CA, 92521, USA.

Lorenzo MangoliniMaterials Science and Engineering Program, University of California Riverside, Riverside, CA, 92521, USA.ORCID https://orcid.org/0000-0002-0057-2450

Funding

National Science Foundation 2053567National Science Foundation Major Research Instrumentation Program CHE-1338173UC Irvine Materials Research Science and Engineering Center DMR-2011967U.S. Department of Energy DE-SC0024816

6 · The paper itself

Abstract

Silicon anodes offer high energy densities for next-generation lithium-ion batteries; however, their application is limited by severe volume expansion during cycling. Making silicon porous or nanostructured mitigates this expansion but often increases lithium inventory losses due to the inherent high surface area of nanomaterials. This study introduces a simple bottom-up process that overcomes this limitation. The approach relies on small silicon particles (<10 nm) produced using an efficient low-temperature plasma approach. These small building blocks are assembled into micron-scale superstructures characterized by uniformly dispersed sub-10 nm pores. This structure addresses both volume expansion and lithium-inventory issues while achieving tap densities exceeding those of commercial graphite (≈1.2 g cm

Indexed as

assemblylithium‐ion batteriesplasma synthesispore engineeringsilicon anode

Identifiers

PMID40964931

DOI10.1002/smll.202505792

PMCPMC12548012

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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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.