Can I register for an opportunity?

No. The opportunity catalogue is fictional and has no registration service.

Does a followed topic use AI recommendations?

No. It shows related local records from the sample catalogue.

What mathematical model and units does MySemiconductorBD use?

MySemiconductorBD applies Reading Queue Priority = Relevance_Score × Prerequisite_Readiness (evaluated on curated educational topics and local reading notes). Units: Topic difficulty tiers (Foundational / Intermediate / Advanced); reading list progress in %; local notes in browser JSON.

What are the operational boundaries and limitations of MySemiconductorBD?

Fictional semiconductor institutions, research topics and opportunities with reading lists. Not a die-yield calculator, process-node model or verified opportunities feed. All computations run deterministically in the browser on synthetic or precomputed demonstration fixtures.

TECHNICAL METHODOLOGY & VERIFICATION SPECIFICATION

MySemiconductorBD: Mathematical Model, Units & Reproducible Benchmarks

Q: How can I reproduce the benchmark results in MySemiconductorBD?

Open the interactive browser workspace at ./run/, select Case 1 to inspect the worked result (Research Topic Exploration (CMOS Scaling, Wide-Bandgap Power Devices & Packaging): Learners filter foundational vs. advanced semiconductor topics, inspect dated educational summaries with explicit fictional/illustrative labels on sample institutional directories, and export a structured reading plan without any fabricated fab yield or process-node claims.), and export the JSON or CSV evidence ledger.

Role & Domain Intent: Semiconductor research-discovery demo (Fictional topics, institutions and opportunities; no fab or die-yield calculator.)

1. GOVERNING FORMULATION

Equations, Variables & Dimensional Rules

Fictional semiconductor institutions, research topics and opportunities with reading lists.

Reading Queue Priority = Relevance_Score × Prerequisite_Readiness (evaluated on curated educational topics and local reading notes)

Declared Units: Topic difficulty tiers (Foundational / Intermediate / Advanced); reading list progress in %; local notes in browser JSON.

2. REPRODUCIBLE WORKED EXAMPLE

Step-by-Step Numerical Verification

Research Topic Exploration (CMOS Scaling, Wide-Bandgap Power Devices & Packaging): Learners filter foundational vs. advanced semiconductor topics, inspect dated educational summaries with explicit fictional/illustrative labels on sample institutional directories, and export a structured reading plan without any fabricated fab yield or process-node claims.

Verified benchmark cases from the MySemiconductorBD browser edition
Workspace Module	Content Type	Verification Status	Scope Exclusion
Topic Explorer	VLSI, Power Devices, Packaging primers	Educational overview	Not a fab yield or SPICE solver
Reading List & Notes	Structured study queue + JSON backup	Client-side local storage	No live academic feed
Sample Directory	Fictional institution/opportunity cards	Explicitly labeled fictional	No recruitment or grant service

3. DATA PROVENANCE & OPERATIONAL BOUNDARIES

Validation Status, Scope Exclusions & Disclaimers

Data Status: Synthetic / precomputed browser demonstration fixtures generated deterministically from the project engine.
Operational Limitation: Not a die-yield calculator, process-node model or verified opportunities feed.
Client-Side Execution: All interactive views, filters, and JSON/CSV exports execute locally in the user's browser with zero external API calls, zero telemetry, and no server-side persistence.
Author & Principal Investigator: Mohammad Rezwan Khan, PhD (Aalborg University · BESS QA/QC & Power Systems Specialist).