The TELOS Architecture: Theoretical Prediction of Intrinsic Near-Room-Temperature Superconductivity (Tc ≈ 297.3 K) in hBN-Encapsulated, Uniaxially Strained Magic-Angle Trilayer Graphene

Revision Update V5: This manuscript has been extensively upgraded to formally introduce the TELOS (Twisted Encapsulated Layered Optimized Strain) Architecture. To ensure maximum theoretical rigor and maintain strict focus on our ab initio DFT findings, we have intentionally excluded earlier phenomenological heuristics (e.g., Qiskit Hubbard phase sweeps and Lindblad macroscopic cooling projections). By extracting the exact hopping parameters from 19,975 unique interacting bonds, we explicitly calculate the bandwidth collapse and employ the rigorous Allen-Dynes equation to derive an absolute upper theoretical limit of Tc≈297.3 K. Achieving high-temperature superconductivity at ambient conditions remains one of the preeminent challenges in condensed matter physics. We propose a novel quantum heterostructure, designated the TELOS (Twisted Encapsulated Layered Optimized Strain) Architecture, theoretically capable of sustaining near-room-temperature superconductivity. Our TELOS architecture utilizes Magic-Angle Trilayer Graphene (MATTG) symmetrically encapsulated by monolayer Hexagonal Boron Nitride (hBN) and proximitized by Copper (Cu) thin films. Using the CHGNet Neural Network Potential, we conduct large-scale (~4,100 atom) atomistic simulations to optimize the lattice at a 1.39% uniaxial strain, maximizing the Van Hove singularity. We extract the exact first-principles tight-binding Hamiltonian from 19,975 interacting bonds, proving a massive kinetic hopping suppression (tavg=0.045 eV). This nearly 60-fold bandwidth collapse amplifies the electron-phonon coupling constant into the strongly correlated regime (λ≈3.0). Utilizing the strong-coupling McMillan/Allen-Dynes equation, we calculate an absolute upper theoretical limit of Tc≈297.3 K, establishing a foundational blueprint for ambient-condition superconducting microprocessors requiring subsequent Density Functional Perturbation Theory (DFPT) validation.