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Record W6983361338

Mémoire optique à changement de phase pour calcul neuromorphique destiné à l'intelligence artificielle

2023· other· fr· W6983361338 on OpenAlexaboutno aff

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2023
Typeother
Languagefr
FieldAgricultural and Biological Sciences
TopicInsect Pheromone Research and Control
Canadian institutionsnot available
Fundersnot available
KeywordsPhase (matter)MicrofabricationSilicon nanowires
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ: L’objectif principal de ce projet de maîtrise est d’explorer l’usage de matériaux à changement de phase comme mémoire optique non-volatile dans le but d’effectuer des opérations matricielles rapidement et efficacement dans le domaine optique. Les multiplications sont effectuées par modulation d’amplitude grâce au contraste de pertes optiques entre la phase amorphe et cristalline du chalcogénure étudié, dont le changement de phase est rapide et réversible. L’état de ces mémoires, lorsque intégrées à un circuit photonique actif faisant également l’objet de ce mémoire, peut être individuellement altéré par l’emploi d’éléments chauffants intégrés de sorte à encoder les éléments de la matrice à multiplier. La proposition implique la caractérisation du Ge2Sb2Se5, un matériau émergent prometteur dans le domaine des mémoires non-volatiles optiques. Le contraste optique mesuré entre les états vitreux et cristallins du matériau implique un différence d’absorption approximative de 0.8 dB/µm dans la bande C et des pertes d’insertion négligeables dans l’état amorphe, justifiant son utilité potentielle comme mémoire. La méthode d’intégration proposée consiste au dépôt du matériau sur guides d’onde en silicium, de sorte à maximiser l’interaction entre le mode de propagation et le chalcogénure. Cette intégration a été effectuée par un procédé de microfabrication maison développé au Laboratoire de Microfabrication de Polytechnique Montréal. Un contraste optique de 0.5 à 1 dB/µm a été observé lorsque la mémoire est intégrée au circuit photonique suite à une cristallisation induite par recuit lent. Une nouvelle architecture de multiplication matricielle optique, mieux adaptée aux grandes matrices a été présentée et simulée, démontrant une amélioration de 3 ordres de grandeur en terme de pertes et d’imbalance de calcul pour des matrices de taile N = 100. ABSTRACT: The main objective of this Master’s project is to explore the use of phase-change materials as non-volatile optical memory to perform matrix operations rapidly and efficiently in the optical domain. Multiplications are achieved through amplitude modulation, taking advantage of the contrast in optical losses generated between the amorphous and crystalline phases of the studied chalcogenide material, which undergoes rapid and reversible phase changes. The states of these memories, when integrated into an active photonic architecture, which is also the subject of this project, can be individually altered using integrated micro-heaters, thereby encoding the elements of the matrix to be multiplied. The proposal involves the characterization of Ge2Sb2Se5, a promising and emerging material in the field of non-volatile optical memories. The measured optical contrast between the glassy and crystalline states of the material implies an approximate absorption difference of 0.8 dB/m in the C band with negligible insertion losses in the amorphous state, justifying its potential usefulness as memory. The proposed integration method involves depositing the material onto silicon waveguides to maximize the interaction between the propagation mode and the chalcogenide. This integration was carried out using a custom microfabrication process developed at the Microfabrication Laboratory of Polytechnique Montréal. An optical contrast of 0.5 to 1 dB/m was measured when the memory was integrated into the photonic circuit following crystallization induced by slow annealing. A new architecture for optical matrix multiplication, better suited for large matrices, was presented and simulated, demonstrating a three-orders-of-magnitude improvement in terms of computing losses and imbalance for matrices of size N = 100.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.619
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.030
GPT teacher head0.267
Teacher spread0.237 · 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; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreOther

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 routes1
Has abstractyes

Explore more

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