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Hard Coating is Because of Oppositely Worked Force-Energy Behaviors of Atoms

2018· preprint· en· W4249240336 on OpenAlexfundno aff
Mubarak Ali, Esah Hamzah, Mohd Radzi Mohd Toff

Bibliographic record

VenuePreprints.org · 2018
Typepreprint
Languageen
FieldChemistry
TopicAdvanced Physical and Chemical Molecular Interactions
Canadian institutionsnot available
FundersInstitute for Materials Research, Tohoku UniversityQuaid-i-Azam UniversityIstanbul Teknik ÜniversitesiUniversity of SheffieldNational Science CouncilUniversity of ManchesterDivision of Materials ResearchCOMSATS Institute of Information TechnologyUniversiti Teknologi MalaysiaUniversity of the PunjabBahauddin Zakariya UniversityTürkiye Bilimsel ve Teknolojik Araştırma KurumuUniversity of Ottawa
KeywordsAtom (system on chip)CoatingMaterials scienceRing (chemistry)NanotechnologyAtomic physicsChemistryPhysicsComputer science

Abstract

fetched live from OpenAlex

Coatings of suitable materials having thickness of few atoms to several microns on the viable substrates are the basic need of society and they attend the regular attention of scientific community working in various fields of science and technology. Decorative and protective coatings, transparent and insulating coatings, coatings of medical implants and surgical instruments, coatings for drug delivery and security purposes, ultra-precision machine coatings and coatings of miscellaneous uses are in the routine demand of research and commercial objectives. Different hard coatings develop under the significant composition of differently natured atoms where their force-energy behaviors as per recovering of transition states provide the provision for electron (of outer ring) belonging to gas atom to undertake another clamp of unfilled energy knot (of outer ring) belonging to solid atom. Set process conditions switch force-energy behaviors of differently natured atoms as per set process conditions where they worked differently to the original state behaviors. Different natured atoms develop structure in the form of hard coating by locating the ground point between original points where gas atoms increase potential energy under the decreasing levitational force at electron-level while the solid atoms decrease potential energy under the decreasing gravitational force at electron-level. Ti-atom to Ti-atom binding is through the difference of expansion of their lattices when one atom is just landing on the already appropriately landed atom where the adhered nitrogen atoms come nearly at their interstitial sites. Under suitable set parameters, different natured atoms deposit in the form of coating at substrate surface under the given conditions depending on the source-behavior of their ejecting or dissociating associated to employed technique. In random arc-based vapor deposition system, depositing different natured atoms at substrate surface depends on the input power where involved non-conserved energies engaged the non-conservative forces to keep their structure adhered. Different properties and characteristics of hard coatings emerged as per engaged forces under the set conditions of involved energy. The present study sets new trends not only in the field of coatings but also in the diversified class of materials and their counterparts, wherever, atoms recall their roles.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.345
Teacher spread0.265 · 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.

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
Published2018
Admission routes1
Has abstractyes

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