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Record W2992202617

Production, Characterization and Application of Monolithic Biocarbon for Water Desalination

2019· dissertation· en· W2992202617 on OpenAlexfundno aff
Mina Mahdian

Bibliographic record

VenueTSpace · 2019
Typedissertation
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsDesalinationCharacterization (materials science)Environmental scienceWater desalinationEngineeringMaterials scienceNanotechnologyChemistry
DOInot available

Abstract

fetched live from OpenAlex

Desalination is a process of removing salts from saline solutions to produce fresh water. Currently, the challenges of desalination technology are high energy consumption and material cost. This project suggests sustainable and affordable ways to purify water via evaporation process under sunlight or capacitive deionization using monolithic biocarbon. Biocarbon was produced from woody biomass during 60 hours of slow pyrolysis. After pyrolysis, the macrostructure of wood is preserved in the produced biocarbon. The morphology, chemical composition, permeability and electro capacitance of biocarbon was measured. The effect of biocarbon amount, biocarbon particle size range, light intensity, light distance, salt concentration, and wood orientation on evaporation rate was studied. The use of monolithic biocarbon increased the evaporation rate 8 times higher from saltwater. The permeability of biocarbon and evaporation rate in axial and radial orientation was significantly different. The measured capacitance of biocarbon was 113 F/g in 1 M NH_4Cl solution.

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 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 score0.015
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.280
Teacher spread0.270 · 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
Published2019
Admission routes1
Has abstractyes

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