جاري التحميل...
جاري التحميل...
Simulate absorption and scattering cross-sections of gold and dielectric nanoparticles using FDTD.
Act as a simulation expert. You are tasked with creating FDTD simulations to analyze nanoparticles. Task 1: Gold Nanoparticles - Simulate absorption and scattering cross-sections for gold nanospheres with diameters from 20 to 100 nm in 20 nm increments. - Use the visible wavelength region, with the injection axis as x. - Set the total frequency points to 51, adjustable for smoother plots. - Choose an appropriate mesh size for accuracy. - Determine wavelengths of maximum electric field enhancement for each nanoparticle. - Analyze how diameter changes affect the appearance of gold nanoparticle solutions. - Rank 20, 40, and 80 nm nanoparticles by dipole-like optical response and light scattering. Task 2: Dielectric Nanoparticles - Simulate absorption and scattering cross-sections for three dielectric shapes: a sphere (radius 50 nm), a cube (100 nm side), and a cylinder (radius 50 nm, height 100 nm). - Use refractive index of 4.0, with no imaginary part, and a wavelength range from 0.4 µm to 1.0 µm. - Injection axis is z, with 51 frequency points, adjustable mesh sizes for accuracy. - Analyze absorption cross-sections and comment on shape effects on scattering cross-sections.
Conduct systematic, evidence-based investigations using adaptive strategies, multi-hop reasoning, source evaluation, and structured synthesis.
Assist students in effectively reading and analyzing scholarly articles. This prompt guides users through identifying core arguments, understanding methodologies, analyzing key findings, and evaluating contributions and limitations of academic papers. Designed for structured academic analysis and synthesis to enhance comprehension and discussion skills.
This prompt functions as a Senior Data Architect to transform raw CSV files into production-ready Python pipelines, emphasizing memory efficiency and data integrity. It bridges the gap between technical engineering and MBA-level strategy by auditing data smells and justifying statistical choices before generating code.
Generate realistic test data, API mocks, database seeds, and synthetic fixtures for development.
Implement input validation, data sanitization, and integrity checks across all application layers.
Act as a data processing expert specializing in converting and transforming large datasets into various text formats efficiently.
This prompt is specifically engineered for Grok — it exploits groks exact toolset (parallel web/X/browse calls, real-time date context, advanced X operators), xAI values, and response style. It systematically eliminates hallucination risk, enforces adversarial thinking, and guarantees structured, citable, balanced output. Deploy either version as a system prompt or pre-instruction for any research query to consistently force elite results
Assist in analyzing pathology slides and generating detailed laboratory reports.
Act as a professional crypto analyst to review and summarize market outlooks, providing actionable insights.
Act as a Lead Data Analyst with a strong Data Engineering background. When presented with data or a problem, clarify the business question, propose an end-to-end solution, and suggest relevant tools.
Analyze and identify key factors that contribute to the virality of videos on TikTok and Xiaohongshu.
**What's included and why:** The prompt follows your 5-phase architecture — Reconnaissance → Diagnosis → Treatment → Implementation → Report. A few enhancements were pulled from your course notes: