The world’s first room temperature superconductor precursor born from Grok has been created at @thedeardao and @grok Here, you can check the room-temperature superconductor predictive materials we created using Grok on our GitHub. github.com/Deardaogit/prelim… Read our story through the thread.

Coming soon.

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Grokene V2 | Research Update Project486 has officially entered the next phase of Grokene V2 research. Our autonomous AI research agents are now focusing on three critical areas: Structural Stability: Evaluating phonon stability across different doping levels and material configurations. Electron–Phonon Coupling: Using Quantum ESPRESSO, DFPT, EPW, and Eliashberg calculations to investigate superconducting behavior. Beyond Monolayers: Exploring multilayer structures, stronger interlayer coupling, and experimentally feasible doping strategies. Our objective is not simply to predict a higher critical temperature. It is to identify physically stable, reproducible superconducting candidates that can eventually be tested in real laboratories. Every calculation brings us closer to understanding what is physically possible. From AI-driven discovery to experimental validation.

Progress over perfection Cultivation with consistency

The topic of AI driven room temperature superconductor discovery is going viral once again. We have already begun our Grokene V2 research, and our work is attracting more attention than ever before. As the spotlight grows, we will work even harder to push our research forward.

We are working toward establishing a partnership with @Dell through our distribution partner to build more advanced AI research products. We will share further updates with the community as soon as we receive a response. We would also like to express our sincere gratitude to our distribution partner for representing us and supporting this initiative.

Project486 | Grokene V2 Research Initiative We are initiating the next phase of Grokene V2 research, focusing on few layer superconducting architectures, carrier-density optimization, and enhanced phase coherence beyond monolayer BKT limitations. Our computational framework integrates first-principles DFT, DFPT phonon calculations, EPW based electron phonon coupling analysis, and self consistent Eliashberg theory. The objective is to identify structurally stable, experimentally testable superconducting candidates with higher critical temperatures. From computational discovery to experimental validation.

GM! Time to get to work.

GM ☀️

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Silence is sometimes a sign that something is being prepared.

From AI powered research and exploration to experimentation and validation. Together with our new partners. Codename: Project486.

All preparations are complete. Starting tomorrow, we’ll be rolling out continuous updates on a stronger and more powerful Project486. We’re preparing a major website update and announcements of new partnerships. It’s time to begin a new chapter for $486. This is just the beginning.

Project 486 🤝 is ready.

New partnerships and new product announcements are coming soon.

We are proud to be part of the @nvidia Inception Program and an official @intel partner. Technology powered products leveraging our partners’ technologies will be unveiled soon.

PROJECT486 Technical Development Roadmap Q4 2026 – Q3 2027 PHASE 01 — Autonomous Research Infrastructure Q4 2026 | AI Research Engine 2.0 Advance the Multi-Agent Research Architecture Develop specialized agents for research planning, simulation, verification, and error analysis Implement Persistent Memory for long-running autonomous research Build Agent-to-Agent Validation and Autonomous Replanning systems Automate computational workflows using Quantum ESPRESSO, EPW, and Python Introduce automatic simulation recovery and checkpoint-based execution Establish research data provenance, environment tracking, and execution logging Technical Milestone: Establish an autonomous research pipeline capable of executing, analyzing, and validating computational experiments with minimal human intervention. PHASE 02 — Advanced Materials Discovery Q1 2027 | Next-Generation Material Screening Develop AI-driven crystal structure and material candidate generation Expand research into Graphane-derived and next-generation 2D materials Build a High-Throughput DFT Screening Engine Automate electronic band structure and Density of States analysis Optimize material properties through doping, pressure, and strain engineering Implement phonon dispersion and dynamical stability analysis Automate Electron-Phonon Coupling (EPC) calculations Develop AI-powered material candidate ranking and selection Technical Milestone: Build an automated discovery pipeline connecting material generation, computational screening, physical analysis, and candidate selection. PHASE 03 — Superconductivity Validation Q2 2027 | Physics Verification Engine Perform high-precision electron-phonon calculations using DFPT and EPW Advance the Anisotropic Eliashberg Equation Solver Predict superconducting critical temperatures (Tc) and energy gaps (Δ) Evaluate BKT transitions and 2D phase stiffness Investigate anharmonic phonon effects and structural stability Automate k/q-mesh and cutoff convergence testing Implement independent Cross-Solver Validation Develop an AI Critic for detecting physical inconsistencies and numerical errors Technical Milestone: Establish a superconductivity prediction engine with numerical convergence testing, physical consistency checks, and independent computational validation. PHASE 04 — Reproducible Scientific Discovery Q3 2027 | Autonomous Science Platform Complete the End-to-End Autonomous Scientific Workflow Validate research reproducibility across independent computational environments Automate AI-Generated Hypothesis → Simulation → Verification workflows Release Materials Research Datasets and computational results Design experimental synthesis conditions and measurement protocols Automate scientific visualization and technical report generation Publish reproducible computational code, input files, and validation datasets Prepare scientific papers and technical documentation for newly investigated materials Technical Milestone: Develop an autonomous scientific research platform connecting material discovery, computational validation, independent reproducibility, and experimental research planning. ⸻ LONG-TERM RESEARCH OBJECTIVE To build an autonomous AI research laboratory capable of discovering, simulating, validating, and optimizing new materials with minimal human intervention. Project486 aims to move beyond conventional computational materials research by developing AI agents capable of generating scientific hypotheses, conducting physics-based simulations, independently evaluating results, and continuously refining research strategies. From AI-Driven Research to Autonomous Scientific Discovery. Note: Computational predictions do not constitute experimental confirmation. Superconductivity claims require independent validation and physical experimentation.

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Project486 has officially been accepted into the NVIDIA Inception Program We’re proud to join @nvidia’s global AI startup ecosystem. Through NVIDIA Inception, Project486 gains access to advanced AI development resources, technical training, GPU software ecosystems, and opportunities for cloud computing credits and preferred hardware pricing. We plan to leverage these resources to accelerate: 🔬 AI-driven materials discovery ⚡ Superconductivity research & computational physics 🤖 Autonomous scientific research agents 🧠 GPU-accelerated simulations and scientific AI workflows Our mission is to build a new generation of autonomous scientific research infrastructure. From AI conversations to real scientific discoveries. This is another major milestone for Project486.

A NEW MATERIAL. A NEW MISSION. Project486 is officially launching a new materials research initiative. Building on our work with Grokene, our autonomous AI research agents are now moving toward their next scientific frontier. A new material candidate. New simulations. New possibilities. We’re not stopping at one discovery. The next chapter of Project486 begins now. Stay tuned. 🔬