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Record W4376505787 · doi:10.1002/pssb.202300139

Advances in Physics of Semiconductors

2023· article· en· W4376505787 on OpenAlexaboutno aff
Igor Aharonovich

Bibliographic record

Venuephysica status solidi (b) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsnot available
Fundersnot available
KeywordsEngineering physicsSurpriseNanotechnologyPhysicsSociologyMaterials science

Abstract

fetched live from OpenAlex

It is my pleasure to write this preface to the Special Section in the May 2023 issue of pss(b), dedicated to the collection of selected works presented during the 35th International Conference on Physics of Semiconductors (ICPS) held in Sydney, Australia in 2022. It was one of the first meetings post the pandemic and it was wonderful to see the community gathering physically together. The ICPS series traditionally encompasses a variety of topics spanning device physics, quantum technologies, spin physics, wide bandgap materials, light–matter interactions, and other branches of materials science, physics and engineering. The collection to follow offers a glimpse into what has been presented, and showcases the excellent science undertaken around the globe. A growing interest in the scientific community is currently evolving around van der Waals crystals, and other two-dimensional systems. It is therefore no surprise, several works focus on these topics – discussing various excitonic, photonic, magnetic, and terahertz properties. Various spin phenomena effects are also discussed in traditional semiconductors such as GaAs/GaN and SiGe. Works on plasmonic gap cavities and electroluminescence as well as theoretical calculations of electronic structures are also included. The ICPS series has been continuously going now for over 70 years, one of the longest running conference series in the world. As we are preparing for the next meeting in Ottawa, Canada, the collection of papers should inspire our junior colleagues, that not only semiconductor physics is here to stay, but in fact, it is a multi-disciplinary and burgeoning field of research.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.293
Teacher spread0.275 · 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 designTheoretical or conceptual
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 routes1
Has abstractyes

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