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Record W4399163942 · doi:10.21203/rs.3.rs-4438273/v1

The DFT study of the structural, hydrogen, electronic, mechanical, thermal, and optical properties of KXH3 (X = Ca, Sc, Ti, & Ni) perovskites for H2 storage applications

2024· preprint· en· W4399163942 on OpenAlexaff
Muhammad Awais Rehman, Zia Ur Rehman, Muhammad Usman, Abu Hamad

Bibliographic record

VenueResearch Square · 2024
Typepreprint
Languageen
FieldMaterials Science
TopicThermal Expansion and Ionic Conductivity
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsHydrogen storageThermal stabilityHydrogenHydrideMetalCrystallographyDensity functional theoryMaterials scienceAnalytical Chemistry (journal)PhysicsChemistryComputational chemistryMetallurgy

Abstract

fetched live from OpenAlex

<title>Abstract</title> In this study, we employ density functional theory calculations to comprehensively investigate the structural, electronic, hydrogen storage capacity, mechanical, thermal, and optical properties of KXH<sub>3</sub> (X = Ca, Sc, Ti, &amp; Ni) hydride perovskites, unveiling their potential for H<sub>2</sub> storage applications. The lattice parameters, calculated using the GGA-PBE functional, are found to be 4.482 Å, 4.154 Å, 3.974 Å, and 3.686 Å for KCaH<sub>3</sub>, KScH<sub>3</sub>, KTiH<sub>3</sub>, and KNiH<sub>3</sub>, respectively. Interestingly, the electronic structure analysis reveals that while KScH<sub>3</sub>, KTiH<sub>3</sub>, and KNiH<sub>3</sub> exhibit metallic behavior, KCaH<sub>3</sub> stands out as a semiconductor. Population analysis indicates that these compounds possess a strong potential for hydrogen storage due to their strong bonding and long bond lengths. Furthermore, the investigation of dynamic and mechanical stability suggests that the studied materials are promising candidates for experimental synthesis, as they exhibit both thermodynamic and mechanical stability. Gravimetric analysis reveals promising hydrogen storage capacities of 3.646 wt%, 3.452 wt%, 3.346 wt%, and 3.005 wt% for KCaH<sub>3</sub>, KScH<sub>3</sub>, KTiH<sub>3</sub>, and KNiH<sub>3</sub>, respectively. The calculated hydrogen desorption temperatures are 442.40 K for KCaH<sub>3</sub>, 518.68 K for KScH<sub>3</sub>, 592.47 K for KTiH<sub>3</sub>, and 614.82 K for KNiH<sub>3</sub>, indicating the suitability of these materials for hydrogen storage applications within practical operating temperature ranges. <bold>Novelty Statement:</bold> In this study, we present a comprehensive theoretical investigation of the novel perovskite materials KXH<sub>3</sub>(X = Ca, Sc, Ti, Ni), encompassing their structural, electronic, hydrogen storage, mechanical, thermal, and optical properties. To the best of our knowledge, this is the first report providing insights into these unexplored compounds, as no previous theoretical or experimental studies have been conducted on them.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.080
GPT teacher head0.375
Teacher spread0.296 · 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 teacher head, 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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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