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306 lines
12 KiB
Python
306 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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Morphic Core Analyzer
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Analyzes capacitors as temporary morphic cores for reconfigurable computing.
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"""
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import json
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from pathlib import Path
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from typing import Dict, List, Optional
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# Paths
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OUTPUT_DIR = Path("/home/allaun/Documents/Research Stack/out")
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class MorphicCoreAnalyzer:
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"""Analyzes capacitors as morphic cores."""
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def __init__(self):
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self.capacitor_types = {
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"electrolytic": {
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"capacitance_range": "1uF - 10000uF",
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"voltage_rating": "6.3V - 450V",
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"esr": "10-100 mΩ",
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"frequency_response": "Low frequency (<100kHz)",
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"morphic_potential": "LOW (slow response, high ESR)"
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},
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"ceramic": {
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"capacitance_range": "1pF - 100uF",
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"voltage_rating": "6.3V - 5000V",
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"esr": "1-10 mΩ",
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"frequency_response": "High frequency (up to GHz)",
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"morphic_potential": "HIGH (fast response, low ESR)"
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},
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"tantalum": {
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"capacitance_range": "0.1uF - 1000uF",
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"voltage_rating": "2.5V - 50V",
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"esr": "1-5 mΩ",
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"frequency_response": "Medium frequency (up to MHz)",
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"morphic_potential": "MEDIUM (good response, low ESR)"
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},
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"film": {
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"capacitance_range": "1nF - 100uF",
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"voltage_rating": "50V - 2000V",
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"esr": "0.1-1 mΩ",
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"frequency_response": "Medium frequency (up to MHz)",
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"morphic_potential": "MEDIUM (very low ESR, stable)"
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},
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"supercapacitor": {
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"capacitance_range": "0.1F - 1000F",
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"voltage_rating": "2.7V - 5.5V",
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"esr": "10-100 mΩ",
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"frequency_response": "Very low frequency (<1Hz)",
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"morphic_potential": "VERY LOW (very slow, high ESR)"
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}
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}
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def analyze_morphic_core_feasibility(self) -> Dict:
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"""Analyze feasibility of capacitor-based morphic cores."""
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feasibility = {
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"ceramic_capacitors": {
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"morphic_mode": "Analog computation",
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"applications": [
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"Analog neural network weights",
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"Time-domain signal processing",
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"Analog memory (charge storage)",
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"Resonant circuits for computation"
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],
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"advantages": [
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"Fast charge/discharge (nanoseconds)",
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"Low ESR (1-10 mΩ)",
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"High frequency response (up to GHz)",
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"Non-linear I-V characteristics for computation"
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],
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"disadvantages": [
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"Limited capacitance range (up to 100uF)",
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"Voltage-dependent capacitance (X7R, Y5V)",
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"Temperature sensitivity"
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],
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"hardware_stress": "LOW (capacitors designed for rapid charge/discharge)",
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"feasibility": "HIGH"
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},
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"tantalum_capacitors": {
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"morphic_mode": "Mixed-signal computation",
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"applications": [
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"Analog-digital conversion",
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"Sample-and-hold circuits",
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"Analog memory",
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"Filter banks"
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],
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"advantages": [
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"Good capacitance density",
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"Low ESR (1-5 mΩ)",
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"Stable capacitance",
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"Good temperature stability"
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],
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"disadvantages": [
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"Voltage rating limitations",
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"Failure mode (short circuit)",
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"Cost"
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],
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"hardware_stress": "MEDIUM (moderate charge/discharge rates)",
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"feasibility": "MEDIUM"
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},
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"electrolytic_capacitors": {
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"morphic_mode": "Energy storage",
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"applications": [
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"Backup power supply",
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"Energy buffer",
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"Low-frequency analog computation"
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],
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"advantages": [
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"High capacitance (up to 10000uF)",
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"High voltage rating",
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"Low cost per Farad"
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],
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"disadvantages": [
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"High ESR (10-100 mΩ)",
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"Slow response (milliseconds)",
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"Limited lifetime (2000-10000 hours)",
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"Polarity sensitive"
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],
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"hardware_stress": "LOW (slow charge/discharge)",
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"feasibility": "LOW for computation, HIGH for energy storage"
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}
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}
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return feasibility
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def design_morphic_core_architecture(self) -> Dict:
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"""Design capacitor-based morphic core architecture."""
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architecture = {
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"core_type": "Ceramic Capacitor Morphic Core",
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"capacitor_array": {
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"size": "4x4 array (16 capacitors)",
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"capacitance_per_element": "10uF (X7R ceramic)",
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"total_capacitance": "160uF",
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"voltage_rating": "10V",
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"esr": "5 mΩ"
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},
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"operation_modes": {
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"analog_computation": {
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"mode": "Charge-based analog computation",
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"operation": "Analog matrix multiplication using charge sharing",
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"precision": "6-8 bits (capacitor mismatch limited)",
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"speed": "10-100 MHz",
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"power": "10-50 mW"
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},
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"analog_memory": {
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"mode": "Charge storage memory",
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"operation": "Store analog values as charge",
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"retention_time": "1-10 seconds (leakage limited)",
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"precision": "8-10 bits",
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"speed": "10-100 MHz"
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},
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"resonant_computation": {
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"mode": "LC resonant computation",
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"operation": "Oscillation-based computation",
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"frequency": "1-10 MHz",
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"precision": "4-6 bits",
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"power": "50-100 mW"
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}
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},
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"control_logic": {
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"controller": "FPGA or MCU",
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"interface": "Switch matrix for capacitor connection",
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"switching_speed": "10-100 ns",
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"switching_loss": "1-5 mW"
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},
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"hardware_stress_analysis": {
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"capacitor_stress": "LOW (within rated specifications)",
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"switch_stress": "MEDIUM (requires high-speed switches)",
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"thermal_stress": "LOW (minimal heating)",
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"voltage_stress": "LOW (within voltage rating)",
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"lifetime_impact": "Minimal (capacitors rated for 100k+ cycles)"
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}
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}
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return architecture
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def evaluate_hardware_stress(self) -> Dict:
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"""Evaluate hardware stress from morphic core usage."""
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stress_analysis = {
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"capacitor_stress": {
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"charge_discharge_rate": "10-100 MHz (within ceramic capacitor specs)",
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"voltage_stress": "Below 50% of voltage rating (safe)",
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"temperature_rise": "<5°C (minimal heating)",
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"lifetime_impact": "<1% reduction (100k+ cycles rated)",
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"stress_level": "LOW"
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},
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"switch_mosfet_stress": {
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"switching_frequency": "10-100 MHz",
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"voltage_stress": "Below 80% of Vds rating",
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"current_stress": "Below 50% of Id rating",
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"power_dissipation": "1-5 mW per MOSFET",
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"stress_level": "MEDIUM (requires careful thermal design)"
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},
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"controller_stress": {
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"switching_frequency": "10-100 MHz",
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"logic_level": "3.3V (standard)",
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"power_dissipation": "50-100 mW",
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"stress_level": "LOW (standard digital logic)"
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},
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"overall_stress": {
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"assessment": "ACCEPTABLE for morphic core usage",
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"mitigation": "Use proper thermal design and derating",
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"lifetime": "No significant impact expected",
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"stress_level": "LOW-MEDIUM"
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}
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}
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return stress_analysis
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def generate_morphic_core_specification(self) -> Dict:
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"""Generate morphic core specification."""
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specification = {
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"morphic_core_spec": {
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"name": "Ceramic Capacitor Morphic Core v1.0",
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"form_factor": "4x4 capacitor array",
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"capacitors": "16 x 10uF X7R ceramic",
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"total_capacitance": "160uF",
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"voltage_rating": "10V",
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"esr": "5 mΩ",
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"switching_speed": "10-100 ns",
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"computation_modes": ["analog_computation", "analog_memory", "resonant_computation"],
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"precision": "6-10 bits",
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"speed": "10-100 MHz",
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"power": "10-100 mW",
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"hardware_stress": "LOW-MEDIUM (acceptable)",
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"lifetime": "No significant impact",
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"feasibility": "HIGH"
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},
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"integration": {
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"interface": "Switch matrix with FPGA/MCU control",
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"power_supply": "3.3V digital, 5V analog",
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"control_protocol": "SPI or I2C",
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"programming": "Dynamic reconfiguration via control logic"
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},
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"applications": [
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"Analog neural network inference",
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"Time-domain signal processing",
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"Analog computing accelerators",
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"Resonant computing for specific algorithms"
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]
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}
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return specification
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def run_analysis(self) -> Dict:
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"""Run complete morphic core analysis."""
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print("=" * 60)
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print("CAPACITOR MORPHIC CORE ANALYSIS")
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print("=" * 60)
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# Step 1: Analyze feasibility
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print("\n[1/4] Analyzing morphic core feasibility...")
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feasibility = self.analyze_morphic_core_feasibility()
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print(f" Ceramic capacitors: {feasibility['ceramic_capacitors']['feasibility']} feasibility")
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print(f" Hardware stress: {feasibility['ceramic_capacitors']['hardware_stress']}")
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# Step 2: Design architecture
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print("[2/4] Designing morphic core architecture...")
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architecture = self.design_morphic_core_architecture()
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print(f" Core type: {architecture['core_type']}")
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print(f" Capacitor array: {architecture['capacitor_array']['size']}")
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# Step 3: Evaluate hardware stress
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print("[3/4] Evaluating hardware stress...")
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stress = self.evaluate_hardware_stress()
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print(f" Overall stress: {stress['overall_stress']['stress_level']}")
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print(f" Assessment: {stress['overall_stress']['assessment']}")
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# Step 4: Generate specification
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print("[4/4] Generating morphic core specification...")
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specification = self.generate_morphic_core_specification()
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print(f" Morphic core: {specification['morphic_core_spec']['name']}")
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print(f" Feasibility: {specification['morphic_core_spec']['feasibility']}")
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print("\n" + "=" * 60)
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print("CAPACITOR MORPHIC CORE ANALYSIS COMPLETE")
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print("=" * 60)
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return {
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"feasibility": feasibility,
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"architecture": architecture,
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"hardware_stress": stress,
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"specification": specification
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}
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if __name__ == '__main__':
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analyzer = MorphicCoreAnalyzer()
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results = analyzer.run_analysis()
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# Save results
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output_file = OUTPUT_DIR / "morphic_core_analysis.json"
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with open(output_file, 'w') as f:
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json.dump(results, f, indent=2)
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print(f"\nAnalysis results saved to {output_file}")
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# Print summary
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print("\n" + "=" * 60)
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print("MORPHIC CORE SUMMARY")
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print("=" * 60)
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print(f"Feasibility: {results['feasibility']['ceramic_capacitors']['feasibility']}")
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print(f"Hardware Stress: {results['hardware_stress']['overall_stress']['stress_level']}")
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print(f"Core Type: {results['architecture']['core_type']}")
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print(f"Computation Modes: {len(results['architecture']['operation_modes'])}")
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