MétaCan
Menu
Back to cohort

Applicability Analysis of Molecular Statics simulation for Nano-materials

2013· article· en· W2081271466 on OpenAlexaff
Enming Miao, Zhishang Xu, Yang Ni, Jichao Miao, Guannua Li

Bibliographic record

VenueTELKOMNIKA Indonesian Journal of Electrical Engineering · 2013
Typearticle
Languageen
FieldMaterials Science
TopicBoron and Carbon Nanomaterials Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsStaticsMolecular dynamicsStatistical physicsModulusMaterials scienceMolecular modelNanotechnologyPhysicsComputer scienceChemistryClassical mechanicsComputational chemistryComposite material

Abstract

fetched live from OpenAlex

Molecular statics can simulate the process without time limitation, while molecular dynamics can only study the motion of system in small time range. Therefore, it’s necessary to give attention and research on the application of molecular statics in engineering materials field. In order to investigate the applicability analysis of molecular statics simulation in nanomaterials scientific research, taking 3D copper monocrystal as the research object,the corresponding molecular statics model was established, the stress-strain data and Young's modulus at the absolute-zero temperature is got.Comparing the result of molecular static simulation with molecular dynamics simulation and the known experimental data, the results show that the model established by molecular statics can explain the mechanical properties of copper monocrystal subjected to tensile loading. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4666 Full Text: PDF

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)0.001
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 score0.171
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.264
Teacher spread0.254 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueTELKOMNIKA Indonesian Journal of Electrical EngineeringSame topicBoron and Carbon Nanomaterials ResearchFrench-language works237,207