:root {
--quantum-blue: #0ea5e9;
--dna-green: #10b981;
--photon-purple: #8b5cf6;
--hydrogel-teal: #06b6d4;
--glass-cyan: #22d3ee;
--bg-dark: #0f172a;
--card-bg: #1e293b;
--text-light: #f8fafc;
--text-dim: #cbd5e1;
--border-color: #334155;
}
body {
background: linear-gradient(135deg, var(--bg-dark) 0%, #1e1b4b 100%);
color: var(--text-light);
min-height: 100vh;
overflow-x: hidden;
}
.container {
max-width: 1400px;
margin: 0 auto;
padding: 20px;
}
header {
text-align: center;
padding: 40px 20px;
position: relative;
overflow: hidden;
}
.header-title {
font-size: 3.5rem;
font-weight: 800;
background: linear-gradient(90deg, var(--quantum-blue), var(--photon-purple), var(--dna-green));
-webkit-background-clip: text;
background-clip: text;
color: transparent;
margin-bottom: 10px;
letter-spacing: -0.5px;
}
.header-subtitle {
font-size: 1.2rem;
color: var(--text-dim);
max-width: 800px;
margin: 0 auto 30px;
line-height: 1.6;
}
.tech-badges {
display: flex;
justify-content: center;
flex-wrap: wrap;
gap: 15px;
margin-top: 30px;
}
.badge {
padding: 8px 20px;
border-radius: 50px;
font-weight: 600;
font-size: 0.9rem;
display: flex;
align-items: center;
gap: 8px;
backdrop-filter: blur(10px);
border: 1px solid rgba(255, 255, 255, 0.1);
}
.badge.photonics { background: rgba(139, 92, 246, 0.2); color: #c4b5fd; }
.badge.biotech { background: rgba(16, 185, 129, 0.2); color: #a7f3d0; }
.badge.materials { background: rgba(34, 211, 238, 0.2); color: #a5f3fc; }
.badge.quantum { background: rgba(14, 165, 233, 0.2); color: #bae6fd; }
.main-content {
display: grid;
grid-template-columns: 1fr 350px;
gap: 30px;
margin-top: 30px;
}
@media (max-width: 1100px) {
.main-content {
grid-template-columns: 1fr;
}
}
.simulation-area {
background: rgba(30, 41, 59, 0.7);
border-radius: 20px;
padding: 25px;
border: 1px solid var(--border-color);
box-shadow: 0 10px 30px rgba(0, 0, 0, 0.3);
backdrop-filter: blur(10px);
}
.simulation-title {
font-size: 1.8rem;
margin-bottom: 25px;
color: var(--glass-cyan);
display: flex;
align-items: center;
gap: 10px;
}
.simulation-canvas-container {
position: relative;
height: 500px;
background: rgba(15, 23, 42, 0.8);
border-radius: 15px;
overflow: hidden;
border: 1px solid rgba(34, 211, 238, 0.2);
}
#simulationCanvas {
width: 100%;
height: 100%;
}
.simulation-controls {
display: flex;
justify-content: space-between;
margin-top: 25px;
flex-wrap: wrap;
gap: 15px;
}
.control-group {
display: flex;
gap: 15px;
flex-wrap: wrap;
}
.control-btn {
padding: 10px 20px;
background: rgba(30, 41, 59, 0.8);
border: 1px solid var(--border-color);
color: var(--text-light);
border-radius: 8px;
cursor: pointer;
transition: all 0.3s;
display: flex;
align-items: center;
gap: 8px;
font-weight: 600;
}
.control-btn:hover {
background: rgba(51, 65, 85, 0.8);
transform: translateY(-2px);
}
.control-btn.active {
background: rgba(14, 165, 233, 0.3);
border-color: var(--quantum-blue);
}
.slider-container {
display: flex;
align-items: center;
gap: 15px;
margin-top: 15px;
}
.slider-container label {
min-width: 180px;
color: var(--text-dim);
}
.slider {
flex-grow: 1;
-webkit-appearance: none;
height: 8px;
background: rgba(51, 65, 85, 0.8);
border-radius: 4px;
outline: none;
}
.slider::-webkit-slider-thumb {
-webkit-appearance: none;
width: 22px;
height: 22px;
border-radius: 50%;
background: var(--quantum-blue);
cursor: pointer;
}
.info-panel {
background: rgba(30, 41, 59, 0.7);
border-radius: 20px;
padding: 25px;
border: 1px solid var(--border-color);
box-shadow: 0 10px 30px rgba(0, 0, 0, 0.3);
backdrop-filter: blur(10px);
overflow-y: auto;
max-height: 800px;
}
.info-section {
margin-bottom: 30px;
padding-bottom: 20px;
border-bottom: 1px solid rgba(51, 65, 85, 0.5);
}
.info-section-title {
font-size: 1.3rem;
margin-bottom: 15px;
color: var(--photon-purple);
display: flex;
align-items: center;
gap: 10px;
}
.tech-item {
background: rgba(15, 23, 42, 0.5);
border-radius: 10px;
padding: 15px;
margin-bottom: 15px;
border-left: 4px solid;
transition: transform 0.3s;
}
.tech-item:hover {
transform: translateX(5px);
}
.tech-item.dna { border-left-color: var(--dna-green); }
.tech-item.glass { border-left-color: var(--glass-cyan); }
.tech-item.photonics { border-left-color: var(--photon-purple); }
.tech-item.hydrogel { border-left-color: var(--hydrogel-teal); }
.tech-name {
font-weight: 700;
font-size: 1.1rem;
margin-bottom: 8px;
display: flex;
justify-content: space-between;
}
.tech-desc {
color: var(--text-dim);
font-size: 0.95rem;
line-height: 1.5;
}
.status-indicator {
display: inline-block;
width: 10px;
height: 10px;
border-radius: 50%;
margin-right: 8px;
}
.status-active { background: #10b981; animation: pulse 2s infinite; }
.status-research { background: #f59e0b; }
.status-theoretical { background: #8b5cf6; }
@keyframes pulse {
0%, 100% { opacity: 1; }
50% { opacity: 0.5; }
}
.data-display {
background: rgba(15, 23, 42, 0.5);
border-radius: 10px;
padding: 15px;
margin-top: 20px;
}
.data-row {
display: flex;
justify-content: space-between;
padding: 8px 0;
border-bottom: 1px solid rgba(51, 65, 85, 0.3);
}
.data-row:last-child {
border-bottom: none;
}
.data-label {
color: var(--text-dim);
}
.data-value {
font-weight: 600;
color: var(--glass-cyan);
}
.convergence-timeline {
margin-top: 40px;
}
.timeline-item {
display: flex;
margin-bottom: 25px;
position: relative;
}
.timeline-item:before {
content: '';
position: absolute;
left: 20px;
top: 0;
bottom: -25px;
width: 2px;
background: rgba(51, 65, 85, 0.5);
}
.timeline-item:last-child:before {
display: none;
}
.timeline-year {
background: var(--card-bg);
border-radius: 50%;
width: 42px;
height: 42px;
display: flex;
align-items: center;
justify-content: center;
font-weight: 700;
color: var(--quantum-blue);
border: 2px solid var(--quantum-blue);
margin-right: 20px;
z-index: 1;
}
.timeline-content {
flex: 1;
padding-top: 5px;
}
.timeline-title {
font-weight: 600;
margin-bottom: 5px;
}
.timeline-desc {
color: var(--text-dim);
font-size: 0.9rem;
}
footer {
text-align: center;
padding: 40px 20px;
margin-top: 50px;
color: var(--text-dim);
border-top: 1px solid rgba(51, 65, 85, 0.5);
font-size: 0.9rem;
}
.ai-note {
background: rgba(139, 92, 246, 0.1);
border-radius: 10px;
padding: 15px;
margin-top: 20px;
border-left: 4px solid var(--photon-purple);
}
.ai-note-title {
color: var(--photon-purple);
font-weight: 600;
margin-bottom: 8px;
display: flex;
align-items: center;
gap: 8px;
}
</style>
Simulating the convergence of photonics, biotechnology, and materials science to create an organic-photonic hybrid computing paradigm for next-generation medical implants and data storage.
<div class="tech-badges">
<div class="badge photonics">
<i class="fas fa-lightbulb"></i> Photonic Computing
</div>
<div class="badge biotech">
<i class="fas fa-dna"></i> DNA Data Storage
</div>
<div class="badge materials">
<i class="fas fa-glass-whiskey"></i> Quartz Glass Storage
</div>
<div class="badge quantum">
<i class="fas fa-atom"></i> Optical Neural Networks
</div>
<div class="badge biotech">
<i class="fas fa-hand-holding-medical"></i> Hydrogel Bioelectronics
</div>
</div>
</header>
<div class="main-content">
<div class="simulation-area">
<h2 class="simulation-title">
<i class="fas fa-microchip"></i> Hybrid System Simulation
</h2>
<div class="simulation-canvas-container">
<canvas id="simulationCanvas"></canvas>
</div>
<div class="simulation-controls">
<div class="control-group">
<button class="control-btn active" id="viewSystem">
<i class="fas fa-sitemap"></i> Full System
</button>
<button class="control-btn" id="viewStorage">
<i class="fas fa-database"></i> Storage Layer
</button>
<button class="control-btn" id="viewProcessing">
<i class="fas fa-brain"></i> Processing Layer
</button>
<button class="control-btn" id="viewInterface">
<i class="fas fa-hand-holding-medical"></i> Bio-Interface
</button>
</div>
<div class="control-group">
<button class="control-btn" id="btnStart">
<i class="fas fa-play"></i> Start Simulation
</button>
<button class="control-btn" id="btnPause">
<i class="fas fa-pause"></i> Pause
</button>
<button class="control-btn" id="btnReset">
<i class="fas fa-redo"></i> Reset
</button>
</div>
</div>
<div class="slider-container">
<label for="simulationSpeed">Simulation Speed:</label>
<input type="range" min="1" max="10" value="5" class="slider" id="simulationSpeed">
<span id="speedValue">5x</span>
</div>
<div class="slider-container">
<label for="dataDensity">Data Density:</label>
<input type="range" min="1" max="100" value="50" class="slider" id="dataDensity">
<span id="densityValue">50 TB/mm³</span>
</div>
<div class="data-display">
<div class="data-row">
<span class="data-label">Neural Signal Processing:</span>
<span class="data-value" id="neuralRate">0 spikes/sec</span>
</div>
<div class="data-row">
<span class="data-label">Photonic Computation:</span>
<span class="data-value" id="computationRate">0 TOPS</span>
</div>
<div class="data-row">
<span class="data-label">DNA Write Speed:</span>
<span class="data-value" id="dnaWrite">0 MB/sec</span>
</div>
<div class="data-row">
<span class="data-label">Glass Read Speed:</span>
<span class="data-value" id="glassRead">0 GB/sec</span>
</div>
<div class="data-row">
<span class="data-label">System Efficiency:</span>
<span class="data-value" id="efficiency">0 pJ/op</span>
</div>
</div>
</div>
<div class="info-panel">
<div class="info-section">
<h3 class="info-section-title">
<i class="fas fa-cogs"></i> System Components
</h3>
<div class="tech-item dna">
<div class="tech-name">
DNA Data Storage
<span><i class="status-indicator status-research"></i> Research</span>
</div>
<p class="tech-desc">Encodes digital data into synthetic DNA strands. Theoretical density: 1 exabyte/mm³. Current challenge: Slow write/read speeds.</p>
</div>
<div class="tech-item glass">
<div class="tech-name">
5D Quartz Glass Storage
<span><i class="status-indicator status-active"></i> Active</span>
</div>
<p class="tech-desc">Femtosecond laser etching in silica glass. Durability: 13.8 billion years. Archival storage with moderate read speeds.</p>
</div>
<div class="tech-item photonics">
<div class="tech-name">
Optical Neural Networks
<span><i class="status-indicator status-research"></i> Research</span>
</div>
<p class="tech-desc">Photonic circuits performing neural computations with light. Potential: 1000x energy efficiency over electronic counterparts.</p>
</div>
<div class="tech-item hydrogel">
<div class="tech-name">
Hydrogel Bioelectronics
<span><i class="status-indicator status-active"></i> Active</span>
</div>
<p class="tech-desc">Soft, tissue-mimicking interfaces for neural recording/stimulation. Reduces immune response by >70% compared to rigid implants.</p>
</div>
</div>
<div class="info-section">
<h3 class="info-section-title">
<i class="fas fa-chart-line"></i> Performance Metrics
</h3>
<div class="data-display">
<div class="data-row">
<span class="data-label">Storage Density:</span>
<span class="data-value">Up to 215 PB/gram (DNA)</span>
</div>
<div class="data-row">
<span class="data-label">Data Longevity:</span>
<span class="data-value">>10,000 years (Glass)</span>
</div>
<div class="data-row">
<span class="data-label">Processing Latency:</span>
<span class="data-value">< 1 ns (Photonic)</span>
</div>
<div class="data-row">
<span class="data-label">Biocompatibility:</span>
<span class="data-value">>90% cell viability</span>
</div>
<div class="data-row">
<span class="data-label">Energy Consumption:</span>
<span class="data-value">~1% of electronic equivalent</span>
</div>
</div>
</div>
<div class="convergence-timeline">
<h3 class="info-section-title">
<i class="fas fa-road"></i> Convergence Timeline
</h3>
<div class="timeline-item">
<div class="timeline-year">2025</div>
<div class="timeline-content">
<div class="timeline-title">Component Specialization</div>
<div class="timeline-desc">Independent advancement of photonic chips, DNA synthesis, and hydrogel interfaces.</div>
</div>
</div>
<div class="timeline-item">
<div class="timeline-year">2035</div>
<div class="timeline-content">
<div class="timeline-title">Binary Integration</div>
<div class="timeline-desc">Photonic + Bio interfaces, DNA medical archives, photonic-assisted storage readout.</div>
</div>
</div>
<div class="timeline-item">
<div class="timeline-year">2045</div>
<div class="timeline-content">
<div class="timeline-title">Hybrid System Prototype</div>
<div class="timeline-desc">First implantable units with integrated sensing, processing, and micro-archival capabilities.</div>
</div>
</div>
<div class="timeline-item">
<div class="timeline-year">2050+</div>
<div class="timeline-content">
<div class="timeline-title">Full Convergence</div>
<div class="timeline-desc">Organic-photonic hybrid systems enabling real-time neural recording, processing, and chronic health monitoring.</div>
</div>
</div>
</div>
<div class="ai-note">
<div class="ai-note-title">
<i class="fas fa-robot"></i> AI Analysis Note
</div>
<p>The simulation represents a conceptual integration of technologies that are currently at different maturity levels. While AI models can synthesize these concepts, actual implementation requires decades of interdisciplinary research and validation against physical constraints.</p>
</div>
</div>
</div>
<footer>
<p>Project North Star Simulation | Organic-Photonic Hybrid Computing Paradigm</p>
<p>This simulation visualizes the convergence of biotechnology, photonics, and materials science for next-generation medical implants and data storage systems.</p>
<p>© 2024 | Convergence Research Simulation</p>
</footer>
</div>
<script>
// Simulation variables
let simulationRunning = false;
let simulationSpeed = 5;
let dataDensity = 50;
let currentView = 'system';
let lastTimestamp = 0;
let neuralSignalRate = 0;
let computationRate = 0;
let dnaWriteRate = 0;
let glassReadRate = 0;
let efficiency = 0;
// Canvas setup
const canvas = document.getElementById('simulationCanvas');
const ctx = canvas.getContext('2d');
canvas.width = canvas.parentElement.clientWidth;
canvas.height = canvas.parentElement.clientHeight;
// Resize canvas when window resizes
window.addEventListener('resize', () => {
canvas.width = canvas.parentElement.clientWidth;
canvas.height = canvas.parentElement.clientHeight;
});
// Initialize UI elements
document.getElementById('simulationSpeed').addEventListener('input', function() {
simulationSpeed = parseInt(this.value);
document.getElementById('speedValue').textContent = simulationSpeed + 'x';
});
document.getElementById('dataDensity').addEventListener('input', function() {
dataDensity = parseInt(this.value);
document.getElementById('densityValue').textContent = dataDensity + ' TB/mm³';
});
// View controls
const viewButtons = document.querySelectorAll('.control-btn[id^="view"]');
viewButtons.forEach(btn => {
btn.addEventListener('click', function() {
viewButtons.forEach(b => b.classList.remove('active'));
this.classList.add('active');
currentView = this.id.replace('view', '').toLowerCase();
});
});
// Simulation controls
document.getElementById('btnStart').addEventListener('click', () => {
simulationRunning = true;
lastTimestamp = performance.now();
animate();
});
document.getElementById('btnPause').addEventListener('click', () => {
simulationRunning = false;
});
document.getElementById('btnReset').addEventListener('click', () => {
simulationRunning = false;
neuralSignalRate = 0;
computationRate = 0;
dnaWriteRate = 0;
glassReadRate = 0;
efficiency = 0;
updateDataDisplay();
draw();
});
// Animation loop
function animate(timestamp) {
if (!simulationRunning) return;
const deltaTime = timestamp - lastTimestamp;
lastTimestamp = timestamp;
// Update simulation values
const timeFactor = deltaTime * 0.01 * simulationSpeed;
neuralSignalRate = 50 + Math.sin(timestamp * 0.002) * 20 + dataDensity * 0.3;
computationRate = 100 + Math.sin(timestamp * 0.0015) * 40 + dataDensity * 0.5;
dnaWriteRate = 0.5 + Math.sin(timestamp * 0.0005) * 0.2 + dataDensity * 0.01;
glassReadRate = 10 + Math.sin(timestamp * 0.001) * 5 + dataDensity * 0.2;
efficiency = 50 - Math.sin(timestamp * 0.003) * 10 - dataDensity * 0.1;
updateDataDisplay();
draw();
requestAnimationFrame(animate);
}
function updateDataDisplay() {
document.getElementById('neuralRate').textContent = Math.round(neuralSignalRate) + ' spikes/sec';
document.getElementById('computationRate').textContent = Math.round(computationRate) + ' TOPS';
document.getElementById('dnaWrite').textContent = dnaWriteRate.toFixed(2) + ' MB/sec';
document.getElementById('glassRead').textContent = Math.round(glassReadRate) + ' GB/sec';
document.getElementById('efficiency').textContent = efficiency.toFixed(1) + ' pJ/op';
}
// Drawing functions
function draw() {
ctx.clearRect(0, 0, canvas.width, canvas.height);
// Draw different views based on current selection
switch(currentView) {
case 'system':
drawFullSystem();
break;
case 'storage':
drawStorageLayer();
break;
case 'processing':
drawProcessingLayer();
break;
case 'interface':
drawInterfaceLayer();
break;
}
}
function drawFullSystem() {
const centerX = canvas.width / 2;
const centerY = canvas.height / 2;
const time = performance.now() * 0.001;
// Draw central neural interface (hydrogel)
drawHydrogelInterface(centerX, centerY, 80);
// Draw photonic processing ring
drawPhotonicRing(centerX, centerY, 120, time);
// Draw DNA storage nodes
const dnaCount = 6;
for (let i = 0; i < dnaCount; i++) {
const angle = (i / dnaCount) * Math.PI * 2 + time * 0.5;
const radius = 180;
const x = centerX + Math.cos(angle) * radius;
const y = centerY + Math.sin(angle) * radius;
drawDNAStorage(x, y, 40, time + i);
}
// Draw glass storage nodes
const glassCount = 4;
for (let i = 0; i < glassCount; i++) {
const angle = (i / glassCount) * Math.PI * 2 + time * 0.3 + 0.5;
const radius = 250;
const x = centerX + Math.cos(angle) * radius;
const y = centerY + Math.sin(angle) * radius;
drawGlassStorage(x, y, 50, time + i * 0.7);
}
// Draw connecting pathways
drawConnections(centerX, centerY, time);
// Draw title
ctx.fillStyle = '#fff';
ctx.font = 'bold 24px Arial';
ctx.textAlign = 'center';
ctx.fillText('Organic-Photonic Hybrid System', centerX, 40);
ctx.font = '16px Arial';
ctx.fillStyle = '#a5f3fc';
ctx.fillText('Neural Interface → Photonic Processing → DNA/Glass Storage', centerX, 70);
}
function drawHydrogelInterface(x, y, size) {
// Main hydrogel sphere
const gradient = ctx.createRadialGradient(x, y, 0, x, y, size);
gradient.addColorStop(0, 'rgba(6, 182, 212, 0.8)');
gradient.addColorStop(1, 'rgba(6, 182, 212, 0.2)');
ctx.beginPath();
ctx.arc(x, y, size, 0, Math.PI * 2);
ctx.fillStyle = gradient;
ctx.fill();
// Neural signal points
const pointCount = 20;
const time = performance.now() * 0.005;
for (let i = 0; i < pointCount; i++) {
const angle = (i / pointCount) * Math.PI * 2 + time;
const pointRadius = size * 0.7 + Math.sin(time * 2 + i) * 5;
const px = x + Math.cos(angle) * pointRadius;
const py = y + Math.sin(angle) * pointRadius;
// Pulsing neural signals
const pulse = Math.sin(time * 3 + i) * 0.5 + 0.5;
const pointSize = 3 + pulse * 3;
ctx.beginPath();
ctx.arc(px, py, pointSize, 0, Math.PI * 2);
ctx.fillStyle = `rgba(16, 185, 129, ${0.5 + pulse * 0.5})`;
ctx.fill();
// Signal lines outward
if (i % 4 === 0) {
ctx.beginPath();
ctx.moveTo(px, py);
ctx.lineTo(
px + Math.cos(angle) * 20,
py + Math.sin(angle) * 20
);
ctx.strokeStyle = `rgba(16, 185, 129, ${0.3 + pulse * 0.2})`;
ctx.lineWidth = 1 + pulse;
ctx.stroke();
}
}
// Label
ctx.fillStyle = '#fff';
ctx.font = 'bold 14px Arial';
ctx.textAlign = 'center';
ctx.fillText('Hydrogel Neural Interface', x, y + size + 20);
}
function drawPhotonicRing(x, y, radius, time) {
// Outer ring
ctx.beginPath();
ctx.arc(x, y, radius, 0, Math.PI * 2);
ctx.strokeStyle = 'rgba(139, 92, 246, 0.6)';
ctx.lineWidth = 3;
ctx.stroke();
// Inner ring
ctx.beginPath();
ctx.arc(x, y, radius - 15, 0, Math.PI * 2);
ctx.strokeStyle = 'rgba(139, 92, 246, 0.3)';
ctx.lineWidth = 1;
ctx.stroke();
// Photonic nodes
const nodeCount = 12;
for (let i = 0; i < nodeCount; i++) {
const angle = (i / nodeCount) * Math.PI * 2 + time;
const nodeX = x + Math.cos(angle) * radius;
const nodeY = y + Math.sin(angle) * radius;
// Node
ctx.beginPath();
ctx.arc(nodeX, nodeY, 8, 0, Math.PI * 2);
ctx.fillStyle = 'rgba(139, 92, 246, 0.8)';
ctx.fill();
// Pulsing light
const pulse = Math.sin(time * 5 + i) * 0.5 + 0.5;
ctx.beginPath();
ctx.arc(nodeX, nodeY, 8 + pulse * 10, 0, Math.PI * 2);
ctx.strokeStyle = `rgba(139, 92, 246, ${0.2 + pulse * 0.2})`;
ctx.lineWidth = 1;
ctx.stroke();
// Connecting lines between nodes
if (i < nodeCount - 1) {
const nextAngle = ((i + 1) / nodeCount) * Math.PI * 2 + time;
const nextX = x + Math.cos(nextAngle) * radius;
const nextY = y + Math.sin(nextAngle) * radius;
ctx.beginPath();
ctx.moveTo(nodeX, nodeY);
ctx.lineTo(nextX, nextY);
ctx.strokeStyle = `rgba(139, 92, 246, ${0.4})`;
ctx.lineWidth = 1;
ctx.stroke();
}
// Light particles moving along connections
const particlePos = (time * 2 + i) % 1;
if (i < nodeCount - 1) {
const nextAngle = ((i + 1) / nodeCount) * Math.PI * 2 + time;
const nextX = x + Math.cos(nextAngle) * radius;
const nextY = y + Math.sin(nextAngle) * radius;
const particleX = nodeX + (nextX - nodeX) * particlePos;
const particleY = nodeY + (nextY - nodeY) * particlePos;
ctx.beginPath();
ctx.arc(particleX, particleY, 3, 0, Math.PI * 2);
ctx.fillStyle = '#ffffff';
ctx.fill();
}
}
// Label
ctx.fillStyle = '#fff';
ctx.font = 'bold 14px Arial';
ctx.textAlign = 'center';
ctx.fillText('Optical Neural Network', x, y + radius + 30);
}
function drawDNAStorage(x, y, size, time) {
// DNA double helix
const segments = 20;
const amplitude = size * 0.3;
// Draw two strands
for (let strand = 0; strand < 2; strand++) {
ctx.beginPath();
const phase = strand * Math.PI;
for (let i = 0; i <= segments; i++) {
const t = i / segments;
const angle = t * Math.PI * 4 + time;
const offsetX = Math.cos(angle + phase) * amplitude;
const offsetY = (t - 0.5) * size * 2;
const px = x + offsetX;
const py = y + offsetY;
if (i === 0) {
ctx.moveTo(px, py);
} else {
ctx.lineTo(px, py);
}
}
ctx.strokeStyle = strand === 0 ?
`rgba(16, 185, 129, 0.8)` :
`rgba(16, 185, 129, 0.6)`;
ctx.lineWidth = 2;
ctx.stroke();
}
// Draw connecting rungs
for (let i = 0; i <= segments; i += 2) {
const t = i / segments;
const angle = t * Math.PI * 4 + time;
const x1 = x + Math.cos(angle) * amplitude;
const x2 = x + Math.cos(angle + Math.PI) * amplitude;
const yPos = y + (t - 0.5) * size * 2;
ctx.beginPath();
ctx.moveTo(x1, yPos);
ctx.lineTo(x2, yPos);
ctx.strokeStyle = `rgba(16, 185, 129, 0.4)`;
ctx.lineWidth = 1;
ctx.stroke();
}
// Data particles flowing along DNA
const particleCount = 3;
for (let p = 0; p < particleCount; p++) {
const particleTime = (time * 0.5 + p * 0.3) % 1;
const particleY = y + (particleTime - 0.5) * size * 2;
const particleX = x + Math.cos(particleTime * Math.PI * 4 + time) * amplitude;
ctx.beginPath();
ctx.arc(particleX, particleY, 3, 0, Math.PI * 2);
ctx.fillStyle = '#ffffff';
ctx.fill();
}
// Label
ctx.fillStyle = '#fff';
ctx.font = 'bold 12px Arial';
ctx.textAlign = 'center';
ctx.fillText('DNA Storage', x, y + size + 20);
}
function drawGlassStorage(x, y, size, time) {
// Glass cube structure
const halfSize = size / 2;
// Draw glass cube
ctx.strokeStyle = 'rgba(34, 211, 238, 0.7)';
ctx.lineWidth = 2;
ctx.strokeRect(x - halfSize, y - halfSize, size, size);
// Internal data layers
const layers = 5;
for (let i = 0; i < layers; i++) {
const layerOffset = (i - layers/2) * 6;
const pulse = Math.sin(time * 2 + i) * 0.3 + 0.7;
ctx.beginPath();
ctx.rect(
x - halfSize + 5,
y - halfSize + 5 + layerOffset,
size - 10,
3
);
ctx.fillStyle = `rgba(34, 211, 238, ${0.2 + pulse * 0.2})`;
ctx.fill();
// Data points on layers
const points = 8;
for (let p = 0; p < points; p++) {
const px = x - halfSize + 10 + (p / points) * (size - 20);
const py = y - halfSize + 6 + layerOffset;
// Animated reading laser
const laserTime = (time * 0.8 + i * 0.2) % 1;
const laserX = x - halfSize + 10 + laserTime * (size - 20);
if (Math.abs(px - laserX) < 15) {
ctx.beginPath();
ctx.arc(px, py, 2, 0, Math.PI * 2);
ctx.fillStyle = '#ffffff';
ctx.fill();
// Laser beam
ctx.beginPath();
ctx.moveTo(laserX, y - halfSize - 10);
ctx.lineTo(laserX, py);
ctx.strokeStyle = `rgba(34, 211, 238, 0.3)`;
ctx.lineWidth = 1;
ctx.stroke();
}
}
}
// Label
ctx.fillStyle = '#fff';
ctx.font = 'bold 12px Arial';
ctx.textAlign = 'center';
ctx.fillText('Quartz Glass Storage', x, y + size + 20);
}
function drawConnections(centerX, centerY, time) {
// Draw data flow connections between components
const connectionCount = 8;
for (let i = 0; i < connectionCount; i++) {
const angle = (i / connectionCount) * Math.PI * 2 + time * 0.2;
const startRadius = 90;
const endRadius = 160;
const startX = centerX + Math.cos(angle) * startRadius;
const startY = centerY + Math.sin(angle) * startRadius;
const endX = centerX + Math.cos(angle) * endRadius;
const endY = centerY + Math.sin(angle) * endRadius;
// Connection line
ctx.beginPath();
ctx.moveTo(startX, startY);
ctx.lineTo(endX, endY);
ctx.strokeStyle = `rgba(255, 255, 255, 0.2)`;
ctx.lineWidth = 1;
ctx.stroke();
// Data particles flowing
const particleCount = 3;
for (let p = 0; p < particleCount; p++) {
const particleTime = (time * 1.5 + p * 0.3 + i * 0.1) % 1;
const particleX = startX + (endX - startX) * particleTime;
const particleY = startY + (endY - startY) * particleTime;
ctx.beginPath();
ctx.arc(particleX, particleY, 2, 0, Math.PI * 2);
ctx.fillStyle = i % 2 === 0 ? '#a5f3fc' : '#c4b5fd';
ctx.fill();
}
}
}
function drawStorageLayer() {
const centerX = canvas.width / 2;
const centerY = canvas.height / 2;
const time = performance.now() * 0.001;
// Title
ctx.fillStyle = '#fff';
ctx.font = 'bold 24px Arial';
ctx.textAlign = 'center';
ctx.fillText('Storage Layer: DNA & Quartz Glass', centerX, 40);
// DNA storage array (left side)
const dnaRows = 3;
const dnaCols = 4;
const dnaSpacingX = 80;
const dnaSpacingY = 100;
const dnaStartX = centerX - 200;
const dnaStartY = centerY - 100;
for (let row = 0; row < dnaRows; row++) {
for (let col = 0; col < dnaCols; col++) {
const x = dnaStartX + col * dnaSpacingX;
const y = dnaStartY + row * dnaSpacingY;
drawDNAStorage(x, y, 25, time + row + col);
}
}
// Glass storage array (right side)
const glassRows = 3;
const glassCols = 3;
const glassSpacingX = 100;
const glassSpacingY = 120;
const glassStartX = centerX + 100;
const glassStartY = centerY - 120;
for (let row = 0; row < glassRows; row++) {
for (let col = 0; col < glassCols; col++) {
const x = glassStartX + col * glassSpacingX;
const y = glassStartY + row * glassSpacingY;
drawGlassStorage(x, y, 60, time + row * 0.5 + col * 0.3);
}
}
// Data flow between storage types
ctx.beginPath();
ctx.moveTo(centerX - 50, centerY);
ctx.lineTo(centerX + 50, centerY);
ctx.strokeStyle = 'rgba(255, 255, 255, 0.3)';
ctx.lineWidth = 2;
ctx.setLineDash([5, 5]);
ctx.stroke();
ctx.setLineDash([]);
// Flow particles
const particleTime = (time * 2) % 1;
const particleX = centerX - 50 + particleTime * 100;
ctx.beginPath();
ctx.arc(particleX, centerY, 4, 0, Math.PI * 2);
ctx.fillStyle = '#a5f3fc';
ctx.fill();
// Labels
ctx.fillStyle = '#10b981';
ctx.font = 'bold 18px Arial';
ctx.textAlign = 'center';
ctx.fillText('DNA Storage', centerX - 200, centerY + 150);
ctx.fillStyle = '#22d3ee';
ctx.fillText('Quartz Glass Storage', centerX + 200, centerY + 150);
}
function drawProcessingLayer() {
const centerX = canvas.width / 2;
const centerY = canvas.height / 2;
const time = performance.now() * 0.001;
// Title
ctx.fillStyle = '#fff';
ctx.font = 'bold 24px Arial';
ctx.textAlign = 'center';
ctx.fillText('Processing Layer: Optical Neural Network', centerX, 40);
// Neural network layers
const layerCount = 4;
const neuronCounts = [8, 12, 8, 4];
const layerSpacing = 150;
const startX = centerX - (layerCount - 1) * layerSpacing / 2;
for (let layer = 0; layer < layerCount; layer++) {
const layerX = startX + layer * layerSpacing;
const neuronCount = neuronCounts[layer];
// Draw neurons in this layer
for (let neuron = 0; neuron < neuronCount; neuron++) {
const neuronY = centerY + (neuron - neuronCount/2) * 40;
// Neuron
const activation = Math.sin(time * 2 + layer + neuron * 0.5) * 0.5 + 0.5;
ctx.beginPath();
ctx.arc(layerX, neuronY, 10 + activation * 5, 0, Math.PI * 2);
const gradient = ctx.createRadialGradient(
layerX, neuronY, 0,
layerX, neuronY, 15 + activation * 5
);
gradient.addColorStop(0, `rgba(139, 92, 246, ${0.8 + activation * 0.2})`);
gradient.addColorStop(1, `rgba(139, 92, 246, 0.1)`);
ctx.fillStyle = gradient;
ctx.fill();
// Connections to next layer
if (layer < layerCount - 1) {
const nextLayerX = startX + (layer + 1) * layerSpacing;
const nextNeuronCount = neuronCounts[layer + 1];
for (let nextNeuron = 0; nextNeuron < nextNeuronCount; nextNeuron++) {
const nextNeuronY = centerY + (nextNeuron - nextNeuronCount/2) * 40;
// Draw connection with weight-based opacity
const weight = Math.sin(layer + neuron + nextNeuron) * 0.5 + 0.5;
ctx.beginPath();
ctx.moveTo(layerX + 10, neuronY);
ctx.lineTo(nextLayerX - 10, nextNeuronY);
ctx.strokeStyle = `rgba(139, 92, 246, ${0.1 + weight * 0.1})`;
ctx.lineWidth = weight;
ctx.stroke();
// Data flowing through connections
const particleTime = (time * 3 + neuron + nextNeuron) % 1;
if (particleTime < 0.1) {
const particleX = layerX + 10 + particleTime * (nextLayerX - layerX - 20);
const particleY = neuronY + particleTime * (nextNeuronY - neuronY);
ctx.beginPath();
ctx.arc(particleX, particleY, 2, 0, Math.PI * 2);
ctx.fillStyle = '#ffffff';
ctx.fill();
}
}
}
}
// Layer label
ctx.fillStyle = '#c4b5fd';
ctx.font = 'bold 14px Arial';
ctx.textAlign = 'center';
ctx.fillText(`Layer ${layer + 1}`, layerX, centerY + 150);
}
// Input/Output labels
ctx.fillStyle = '#10b981';
ctx.font = 'bold 16px Arial';
ctx.fillText('Neural Input', startX - 30, centerY);
ctx.fillStyle = '#22d3ee';
ctx.fillText('Processed Output', startX + (layerCount - 1) * layerSpacing + 30, centerY);
}
function drawInterfaceLayer() {
const centerX = canvas.width / 2;
const centerY = canvas.height / 2;
const time = performance.now() * 0.001;
// Title
ctx.fillStyle = '#fff';
ctx.font = 'bold 24px Arial';
ctx.textAlign = 'center';
ctx.fillText('Bio-Interface Layer: Hydrogel Neural Interface', centerX, 40);
// Brain tissue representation
ctx.beginPath();
ctx.arc(centerX, centerY, 150, 0, Math.PI * 2);
const brainGradient = ctx.createRadialGradient(
centerX, centerY, 0,
centerX, centerY, 150
);
brainGradient.addColorStop(0, 'rgba(30, 64, 175, 0.3)');
brainGradient.addColorStop(1, 'rgba(30, 41, 59, 0.8)');
ctx.fillStyle = brainGradient;
ctx.fill();
// Neurons in tissue
const neuronCount = 50;
for (let i = 0; i < neuronCount; i++) {
const angle = (i / neuronCount) * Math.PI * 2;
const distance = 50 + Math.sin(i * 0.5) * 40;
const neuronX = centerX + Math.cos(angle) * distance;
const neuronY = centerY + Math.sin(angle) * distance;
// Neuron cell body
ctx.beginPath();
ctx.arc(neuronX, neuronY, 4 + Math.sin(time + i) * 2, 0, Math.PI * 2);
ctx.fillStyle = `rgba(16, 185, 129, ${0.6 + Math.sin(time + i) * 0.2})`;
ctx.fill();
// Axon/dendrites
const dendriteCount = 3 + Math.floor(Math.random() * 3);
for (let d = 0; d < dendriteCount; d++) {
const dendriteAngle = angle + (Math.random() - 0.5) * 1;
const dendriteLength = 20 + Math.random() * 30;
ctx.beginPath();
ctx.moveTo(neuronX, neuronY);
ctx.lineTo(
neuronX + Math.cos(dendriteAngle) * dendriteLength,
neuronY + Math.sin(dendriteAngle) * dendriteLength
);
ctx.strokeStyle = `rgba(16, 185, 129, 0.3)`;
ctx.lineWidth = 1;
ctx.stroke();
}
}
// Hydrogel implant overlay
const implantRadius = 80;
const implantX = centerX;
const implantY = centerY;
// Hydrogel material (semi-transparent, wavy)
ctx.beginPath();
for (let angle = 0; angle < Math.PI * 2; angle += 0.1) {
const wave = Math.sin(angle * 5 + time * 2) * 5;
const radius = implantRadius + wave;
const x = implantX + Math.cos(angle) * radius;
const y = implantY + Math.sin(angle) * radius;
if (angle === 0) {
ctx.moveTo(x, y);
} else {
ctx.lineTo(x, y);
}
}
ctx.closePath();
const implantGradient = ctx.createRadialGradient(
implantX, implantY, 0,
implantX, implantY, implantRadius
);
implantGradient.addColorStop(0, 'rgba(6, 182, 212, 0.6)');
implantGradient.addColorStop(1, 'rgba(6, 182, 212, 0.2)');
ctx.fillStyle = implantGradient;
ctx.fill();
// Electrodes on hydrogel
const electrodeCount = 16;
for (let i = 0; i < electrodeCount; i++) {
const angle = (i / electrodeCount) * Math.PI * 2;
const distance = implantRadius * 0.7;
const electrodeX = implantX + Math.cos(angle) * distance;
const electrodeY = implantY + Math.sin(angle) * distance;
// Electrode
ctx.beginPath();
ctx.arc(electrodeX, electrodeY, 5, 0, Math.PI * 2);
ctx.fillStyle = 'rgba(255, 255, 255, 0.9)';
ctx.fill();
// Neural signal recording
const signal = Math.sin(time * 3 + i) * 0.5 + 0.5;
if (signal > 0.7) {
// Signal line to processing
ctx.beginPath();
ctx.moveTo(electrodeX, electrodeY);
ctx.lineTo(
electrodeX + Math.cos(angle) * 30,
electrodeY + Math.sin(angle) * 30
);
ctx.strokeStyle = `rgba(255, 255, 255, ${signal})`;
ctx.lineWidth = signal;
ctx.stroke();
// Signal particle
ctx.beginPath();
ctx.arc(
electrodeX + Math.cos(angle) * 15,
electrodeY + Math.sin(angle) * 15,
3, 0, Math.PI * 2
);
ctx.fillStyle = '#ffffff';
ctx.fill();
}
}
// Labels
ctx.fillStyle = '#10b981';
ctx.font = 'bold 16px Arial';
ctx.textAlign = 'center';
ctx.fillText('Neural Tissue', centerX, centerY - 180);
ctx.fillStyle = '#06b6d4';
ctx.fillText('Hydrogel Implant', centerX, centerY + implantRadius + 30);
ctx.fillStyle = '#ffffff';
ctx.font = '14px Arial';
ctx.fillText(`${Math.round(neuralSignalRate)} spikes/sec recorded`, centerX, centerY + implantRadius + 50);
}
// Initialize the simulation
draw();
updateDataDisplay();
// Auto-start simulation after 1 second
setTimeout(() => {
simulationRunning = true;
lastTimestamp = performance.now();
animate();
}, 1000);
</script>