Fractional-Order Bioconvection in Trihybrid Nanofluids Flowing Over a Rotating Disk: A Hybrid Neural Network With Genetic Algorithm Method for Entropy Generation Minimization

<p>Fractional-Order Bioconvection in Trihybrid Nanofluids Flowing Over a Rotating Disk: A Hybrid Neural Network With Genetic Algorithm Method for Entropy Generation Minimization</p> : Minimizing entropy generation in complex fluid systems is a primary concern for improving thermodynamic efficiency. This paper investigates bioconvection in a Carreau-Yasuda trihybrid nanofluid over a spinning disk, where fluid memory is modeled using fractional-order derivatives. We provide an analytical energy-based stability framework for the proposed model. Given the high computational cost associated with solving fractional partial differential equations, we propose a Hybrid Neural Network surrogate model combined with a Genetic Algorithm. The Hybrid Neural Network, trained on data obtained via the Finite Difference Method, accurately predicts Nusselt numbers and entropy generation, while the Genetic Algorithm navigates the response surface to identify Pareto-optimal solutions. A deep cas...

Prime Constellations & Digital Roots

Prime Constellations & Digital Roots

🌌 Prime Constellations & Their Digital Roots

🎯 What Are Prime Constellations?

Prime constellations are structured patterns of prime numbers separated by fixed gaps. Examples include:

  • Twin Primes: (p, p+2)
  • Cousin Primes: (p, p+4)
  • Sexy Primes: (p, p+6)
  • Triplets: (p, p+2, p+6) or (p, p+4, p+6)
  • Quadruplets: (p, p+2, p+6, p+8)

πŸ’‘ What Is a Digital Root?

The digital root of a number is the single-digit result of repeatedly summing its digits. It helps reveal hidden numerical patterns and attractors.

πŸ’» Python Code

def is_prime(n):
    if n < 2:
        return False
    for i in range(2, int(n**0.5)+1):
        if n % i == 0:
            return False
    return True

def digit_root(n):
    while n >= 10:
        n = sum(int(d) for d in str(n))
    return n

def generate_constellations(lower, upper, gaps):
    results = []
    for p in range(lower, upper - max(gaps)):
        if all(is_prime(p + g) for g in gaps):
            drs = [digit_root(p + g) for g in gaps]
            results.append(((p,) + tuple(p + g for g in gaps), tuple(drs)))
    return results

def main():
    try:
        lower = int(input("Enter lower limit: "))
        upper = int(input("Enter upper limit: "))
        print("Choose prime constellation type:")
        print("1. Twin (p, p+2)")
        print("2. Cousin (p, p+4)")
        print("3. Sexy (p, p+6)")
        print("4. Triplet (p, p+2, p+6)")
        print("5. Triplet (p, p+4, p+6)")
        print("6. Quad (p, p+2, p+6, p+8)")
        choice = int(input("Enter choice (1–6): "))

        gap_map = {
            1: [2],
            2: [4],
            3: [6],
            4: [2, 6],
            5: [4, 6],
            6: [2, 6, 8]
        }

        selected_gaps = gap_map.get(choice)
        if not selected_gaps:
            print("Invalid choice.")
            return

        results = generate_constellations(lower, upper, selected_gaps)
        print(f"\nPrime Constellations with Digital Roots from {lower} to {upper}:")
        for primes, drs in results:
            print(f"{primes} → {drs}")

    except ValueError:
        print("Please enter valid integers.")

main()

Copy and Try it here!

πŸ“Š Sample Output

Input: Lower = 10, Upper = 50, Choice = 4 (Triplet: p, p+2, p+6)

Output:

(11, 13, 17) → (2, 4, 8)
(17, 19, 23) → (8, 1, 5)
(31, 33, 37) → (4, 6, 1)

πŸ” Why It’s Powerful

This tool lets you explore prime constellations interactively and analyze their digital roots. It’s perfect for discovering attractor patterns, testing hypotheses, and building intuition for prime gaps.

🌟 Final Thoughts

Try different ranges and constellation types. Are certain digital root combinations more frequent? Do they repeat cyclically? This script is a gateway to deeper number theory exploration and a great addition to your blog series.

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