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Record W7044105995

Vibrational spectroscopy and the structure of solids: The example
\nof carbonate minerals

2023· dissertation· en· W7044105995 on OpenAlexafffund

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicScientific Research and Discoveries
Canadian institutionsMemorial University of Newfoundland
FundersUniversité Bordeaux MontaigneWeizmann Institute of ScienceCanadian Light Source
KeywordsMode (computer interface)Field (mathematics)Filter (signal processing)Phase (matter)Work (physics)Frame (networking)
DOInot available

Abstract

fetched live from OpenAlex

Studying material structure on the atomic scale in solids can give clues as to how that material was
\nformed, aged, or used. Atoms in solids are constantly in motion. A material’s specific composition
\nand crystal arrangement results in a unique profile of atomic vibrations. These vibrations, or modes,
\ncan be grouped into two main types; internal modes are higher energy vibrations related to atomic
\nmotion of single atoms or moieties within the unit cell, whereas external modes are lower in energy
\nand correspond to the collective movement of multiple coordinated atoms or moieties. Past investigations
\nfocused on the vibrations of solids have explored the effect of crystalline ordering on internal
\nmodes both experimentally and computationally. In this thesis, I explore the viability of established
\nexperimental and computational methods to examine the influence of structural differences on the
\nthe external mode vibrations using calcium carbonate as a case study material. The experimental
\nprojects focus on infrared spectroscopy. This tool is sensitive enough to observe subtle differences in
\nthe internal modes that are linked to structural differences but has yet to be explored for the external
\nmodes.
\nWe study calcium carbonate systems using infrared spectroscopic methods to understand the impact
\nof structure on vibrational properties. Our initial goal was to correlate novel external mode vibration
\ndata trends with the established understanding of internal mode changes and atomic structure
\ndata. We found that the broadness of the external modes makes extracting structural information using
\nthe previous analysis protocols impractical. The results highlight potential pitfalls for researchers
\nwho are new to these spectroscopic techniques. We preach caution when attempting to interpret
\nenergy shifts of external modes as structural differences amongst samples without correlating with
\nadditional experimental methods.
\nFurther experiments focused on photoacoustic infrared spectroscopy, a specialized version of the
\ntechnique. Previous works have highlighted but failed to explain how this specialized setup can
\nenhance the detection of weak internal modes. We sought to determine the mechanism for this documented
\nphenomenon. While we could not identify the cause of the enhancement, our experiments
\nand analysis showed that it is intrinsic to the photoacoustic method and eliminated detector saturation,
\noften thought to be the cause, as the root mechanism.
\nii
\nFinally, I used computational molecular dynamics methods to simulate calcium carbonate vibrations.
\nUsing previously published parameters, I was able to generate a vibrational density of states
\n(VDOS) for the calcium carbonate polymorph aragonite. This work is valuable as alternative computational
\nmethods to simulate the external vibrations of calcium carbonates are computationally
\nexpensive. The computed VDOS of aragonite shows a reasonable level of qualitative agreement with
\nexperimental measurements. This work serves as a proof-of-concept and starting point to observe
\ndisorder’s effects on the calculated vibrational density of states.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.380
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.020
GPT teacher head0.267
Teacher spread0.246 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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