An Atomistic Study of Reactivity in Solid-State Electrolyte Interphase Formation for Li/Li

Bryant Y Li, Vir Karan, Aaron D Kaplan, Mingjian Wen, Kristin A Persson

Abstract read

In one paragraph

Article in The journal of physical chemistry. C, Nanomaterials and interfaces, 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.

Green and Low-Carbon Synthesis of Lithium Sulfide (LiAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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

5 authors.

Bryant Y LiDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0001-5482-509X

Vir KaranDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley, California 94720, United States.

Aaron D KaplanMaterials Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0003-3439-4856

Mingjian WenMaterials Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States.

Kristin A PerssonDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0003-2495-5509

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lithium metal batteries offer superior volumetric and gravimetric specific capacities compared to those based on traditional graphite anodes. Although advancements in solid-state electrolytes address safety concerns, challenges remain, particularly regarding interphase formation in lithium metal anodes. This work presents a computational framework based on high-throughput first-principles density functional theory and machine-learning interatomic potentials (MLIPs) including automated iterative, active learning to enable robust computational exploration of interphase formation between lithium metal anodes and an inorganic solid-state electrolyte. As a demonstration, we apply the framework to a Li/Li

Identifiers

PMID40959778

DOI10.1021/acs.jpcc.5c03589

PMCPMC12434724

What OpenQuestion holds

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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.