⚡ AUTONOMOUS SYMBOLIC-NUMERICAL ENGINE · UNIVERSITY EDITION

Transform Natural Language Prompts into Interactive Physics Laboratories

Engineered for university physics, engineering faculties, and STEM researchers. Describe any classical, electrodynamic, orbital, or wave-mechanics experiment—our multi-agent solver compiles real-time RK4 differential equations and 60 FPS vector visualizations instantly.

RK4 + Symplectic Numerical Integrators
60 FPS Real-Time Vector Telemetry
120+ Labs University Curriculum Presets
CSV / LaTeX Instant Lab Report Export
agenticyt-kernel://solver-rk4/interactive-workbench
>_
Laboratory Modules:
KERNEL: RK4-ADAPTIVE · Δt = 16.6ms
v = (0.0, 0.0) m/s

Governing Differential Equations

m·d²r/dt² = m·g - ½·ρ·Cd·A·|v|·v

Boundary & Field Parameters

t_sim: 0.00s
E_mech: 184.2 J
Solver: STABLE
Samples: 0 pts
SYSTEM ARCHITECTURE

How the Agentic Physics Pipeline Works

Unlike generic video generators that hallucinate motion, AgenticYT compiles mathematically exact physical laws.

01

Symbolic Prompt Parser

Extracts degrees of freedom, mass matrices, forces, and initial boundary conditions from Turkish or English prompts.

02

Hamiltonian & Lagrangian Builder

Formulates the coupled ordinary or partial differential equations governing the system without numerical drift.

03

4th-Order Runge-Kutta Solver

Executes adaptive time-stepping directly in the browser client with zero server latency and guaranteed energy conservation.

04

Interactive Vector Canvas

Renders live force vectors, phase-space trajectories, and interactive parameter sliders for classroom demonstrations.

🔬 UNIVERSITY CURRICULUM REPOSITORY

Interactive Physics Experiment Catalog

Explore peer-reviewed simulation templates mapped to standard undergraduate physics and engineering courses. Click any experiment to launch its live numerical kernel.

PHYS 101 · CLASSICAL MECHANICS

Ballistics & Quadratic Air Drag

Analyze projectile trajectories under quadratic Reynolds drag, terminal velocity limits, and variable gravity fields.

m·dv/dt = m·g - ½·ρ·Cd·A·|v|·v
Launch in Studio→
PHYS 201 · ANALYTICAL MECHANICS

Chaotic Double Pendulum

Solve non-linear Euler-Lagrange equations and observe Lyapunov divergence in phase space.

d/dt(∂L/∂θ̇ᵢ) - ∂L/∂θᵢ = 0
Launch in Studio→
MECH 204 · MECHANICAL VIBRATIONS

Coupled Normal Mode Oscillators

Visualize symmetric and antisymmetric eigenmodes and energy beating between coupled spring-mass systems.

M·ẍ + C·ẋ + K·x = 0
Launch in Studio→
PHYS 202 · WAVE OPTICS

Young's Double-Slit Interference

Compute 2D wavefront superposition, fringe spacing, and phase difference across coherent point sources.

I(θ) = 4·I₀·cos²(π·d·sinθ / λ)
Launch in Studio→
PHYS 310 · ASTROPHYSICS

Binary Star & Three-Body Slingshot

Simulate gravitational assist maneuvers, Keplerian orbits, and restricted three-body trajectories.

r̈ᵢ = G · Σ mⱼ(rⱼ - rᵢ) / |rⱼ - rᵢ|³
Launch in Studio→
PHYS 304 · ELECTRODYNAMICS

Damped Driven Resonance & Q-Factor

Investigate energy dissipation, RLC / mechanical equivalence, and logarithmic decrement under variable damping.

ẍ + 2γ·ẋ + ω₀²·x = F₀·cos(ωt)/m
Launch in Studio→
📘 TECHNICAL DOCUMENTATION & PROMPT GUIDE

Prompt Engineering for Physical Systems

Learn how to structure natural language prompts with initial conditions, conservation constraints, and numerical solver directives.

SYNTAX GUIDE

Anatomy of an Effective Physics Prompt

Specify (1) the physical system, (2) dissipative or external forces, and (3) desired telemetry vectors.

✓ GOOD PROMPT (EN): "Simulate a chaotic double pendulum with L1=1.1m, L2=1.0m, g=9.8m/s² and plot the phase-space trail." ✓ İYİ PROMPT (TR): "Hava dirençli eğik atış hareketini v0=68 m/s ve g=9.8 m/s² ile hız vektörlerini göstererek simüle et."
PYTHON / MATLAB EXPORT

Analyzing Exported CSV Telemetry in Python

Every simulation exports a standard time-series CSV file ready for university lab reports:

import pandas as pd import matplotlib.pyplot as plt df = pd.read_csv("agenticyt-projectile-telemetry.csv") plt.plot(df["metric_x"], df["metric_y"], label="RK4 Trajectory") plt.xlabel("x (m)"); plt.ylabel("y (m)") plt.legend(); plt.show()

Numerical Integrator Specifications

Solver Kernel Order Energy Drift Best For
RK4-Adaptive O(Δt⁴) < 10⁻⁶ / cycle Ballistics, Damped Oscillators, Non-Linear Drag
Symplectic Verlet O(Δt²) Bounded (Hamiltonian) Long-term N-Body Orbital Mechanics & Pendulums
FDTD Wave Grid O(Δx², Δt²) Exact Phase 2D Double-Slit Interference & Acoustic Diffraction
🎓 HIGHER EDUCATION & VIRTUAL LABS

Built for Students, Instructors & Faculties

Deploy interactive physics assignments across your department with zero client software installation.

Student & Open Access
Free

For undergraduate physics & engineering coursework.

  • Unlimited Prompt-to-Physics generations
  • Real-time RK4 interactive parameter tuning
  • CSV telemetry export for lab reports
Research & Custom Kernels
Enterprise

For research groups requiring custom PDE & FEM solvers.

  • WebGPU multi-grid field & fluid solvers
  • Dedicated API & Python/Jupyter notebook SDK
  • 24/7 academic engineering support
🏢 AGENTIC YAZILIM TEKNOLOJİLERİ

Deterministic Physics Meets Agentic Intelligence

AgenticYT develops autonomous scientific computing and educational simulation systems that bridge natural language reasoning with exact numerical solvers.

OUR SCIENTIFIC MANIFESTO

Why Differential Equations Beat Video AI

Pixel-based generative video models hallucinate trajectories and violate conservation of energy and momentum. AgenticYT instead uses AI agents to translate prompts into symbolic Hamiltonians and solves them with verified numerical integrators—guaranteeing 100% physical accuracy for university education.

CORPORATE & ACADEMIC CONTACT

Partner with AgenticYT

For university department pilots, custom curriculum development, or research collaborations, reach out directly to our engineering team.

Organization : AgenticYT (Agentic Yazılım Teknolojileri) Official Web : https://agenticyt.com.tr Academic Desk: admin@agenticyt.com.tr Infrastructure: Cloudflare Global Edge Network