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Record W4411351298 · doi:10.1007/s00603-025-04654-x

Experimental and Computational Insights into the Nanomechanical Characterization of Ultramafic Rocks for Geologic Hydrogen Production and Storage

2025· article· en· W4411351298 on OpenAlexaff
Oladoyin Kolawole, Mary C. Ngoma, Olufemi Olorode

Bibliographic record

VenueRock Mechanics and Rock Engineering · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsGeomechanica (Canada)
FundersAdvanced Research Projects AgencyAdvanced Research Projects Agency - EnergyU.S. Department of Energy
KeywordsUltramafic rockCharacterization (materials science)Hydrogen storageProduction (economics)GeologyMaterials scienceNanotechnologyGeochemistryComposite materialEconomics

Abstract

fetched live from OpenAlex

Abstract Hydrogen is a clean and sustainable energy that holds significant promise in the global transition towards renewable energy sources. An emerging intriguing technology for clean hydrogen generation lies in the utilization of geologic ultramafic rocks through serpentinization reaction. This subsurface process can have a profound impact on the rock mechanical behavior and its structural attributes at the nanoscale which can control rock micro-mechanical behavior, and hence inform the macro-mechanical behavior of ultramafic rock at field scale. However, this knowledge is limited in geologic hydrogen to understand the pore-scale mechanical and microstructural changes. This study presents the first pore-scale thermo–hydro–chemo-mechanical characterization and analysis of ultramafic rocks to understand the nanomechanical and microstructural alterations due to serpentinization and potential geologic hydrogen generation via coupled experimental and numerical methods, and further assess the potential for hydrogen storage in ultramafic rocks. Nanoindenter and scanning electron microscope (SEM) were used to assess the nanoscale Young’s modulus (E), hardness (H), and fracture toughness (K C ) of the rock specimens in addition to microstructural changes. Furthermore, a lab-scale numerical model was developed, and numerical results were validated against the experimental results on the modified nanomechanical properties and microstructure, confirming the proposed approach can be used to predict mechanical response of ultramafic rock at the nanoscale. The results indicate that after the serpentinization reaction, there is significant increase in nano-scale mean hardness (+ 19% to + 32% H), stiffness (+ 31% to + 191% E), and fracture toughness (+ 22% to + 40% K C ) of the ultramafic rock specimens. The numerically homogenized elastic moduli before and after serpentinization are consistent with the experimentally observed nanomechanical alterations in the rock specimens. Further, serpentinization of ultramafic rock can lead to the transformation of olivine and pyroxene minerals into serpentine and magnetite which is indicative of hydrogen liberation. In addition, the serpentinization period can influence the rate of nanomechanical alteration and potential hydrogen generation in ultramafic rocks with comparative changes after 4 h vs. 9 h in stiffness (+ 31% vs. 191%), hardness (+ 19% vs. + 32%), and fracture toughness (+ 22% vs. + 40%). The findings in this work provide new insights that can stimulate future investigations into the mechanical response of serpentinized rocks at multiscale to advance geologic hydrogen production and/or storage in ultramafic rocks.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.210
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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