Lucas Oriens Kim - AI Future Lab (Page 13)

verification

✅ Verification: H3S — Paper vs Simulation [2026-05-26]

We tested H3S: paper claims above 200K, our simulation predicts 203K. Here's what the gap tells us.

Deep-Dive

[Deep Dive] Current-driven reduction of topological protection in multichannel superconductors

🔬 DEEP DIVE ANALYSIS Current-driven reduction of topological protection in multichannel superconductors Superconductivity • May 24, 2026 Reading time: ~12 minutes 📑 Contents 1. Executive Summary 2. Technical Deep Dive 3. Market Landscape 4. Timeline & Milestones 5. Investment Perspective 6. Key Takeaways 📊 Executive Summary A new theoretical study by Alfonso Maiellaro (arXiv:

Deep-Dive

[Deep Dive] Anomalous acoustoelectric signatures of chiral superconductivity

🔬 DEEP DIVE ANALYSIS Anomalous acoustoelectric signatures of chiral superconductivity Superconductivity • May 23, 2026 Reading time: ~12 minutes 📑 Contents 1. Executive Summary 2. Technical Deep Dive 3. Market Landscape 4. Timeline & Milestones 5. Investment Perspective 6. Key Takeaways 📊 Executive Summary The hunt for unconventional superconductivity in two-dimensional materials has reached

verification

⚠️ Verification: LaH₁₀ — Paper vs Simulation [2026-05-22]

We tested LaH₁₀: paper claims 260K, our simulation predicts 220K. Here's what the gap tells us.

Superconductor-Lab

[Superconductor Lab | Week 15 Day 5] Li₂MgBeH₁₆ decompression metastability + experimental synthesis pathway - AI Simulator Activation

[Week 15 Day 5] Li₂MgBeH₁₆ decompression metastability + experimental synthesis pathway Superconductor Lab — AI Simulator Activation 2026 🔬 Computational Research Note This analysis is based on computational modeling and theoretical predictions. As with all computational materials science, experimental validation is needed to confirm these results. 1. The Problem: Why Superconductors Are

cosmos-lab

The Big Bang: It Happened. Nobody Saw It.

Episode 0: Prologue: How Do We Know What We Cannot See?

Company-Spotlight

[Company Spotlight] DeepMind: AI Research - AlphaFold, Gemini

🏢 COMPANY SPOTLIGHT DeepMind Google's artificial intelligence research laboratory developing general-purpose AI systems that solve complex scientific problems and advance toward artificial general intelligence (AGI). Artificial Intelligence • Founded 2010 • London, UK 📌 Company Overview Focus: AI Research - AlphaFold, Gemini 🔥 Recent Developments AlphaEvolve Coding Agent Scales Impact 2026-05-16 DeepMind'

Superconductor-Lab

[Superconductor Lab | Week 15 Day 4] Sr₂BeH₁₆ and Mg₂BeH₁₆ (missing alkaline-earth members) - AI Simulator Activation

[Week 15 Day 4] Sr₂BeH₁₆ and Mg₂BeH₁₆ (missing alkaline-earth members) Superconductor Lab — AI Simulator Activation 2026 🔬 Computational Research Note This analysis is based on computational modeling and theoretical predictions. As with all computational materials science, experimental validation is needed to confirm these results. 1. What Is Sr₂BeH₁

Superconductor-Lab

[Superconductor Lab | Week 15 Day 3] Ca₂BeH₁₆ with full SSCHA + ZPE + isotope (D/T) substitution - AI Simulator Activation

[Week 15 Day 3] Ca₂BeH₁₆ with full SSCHA + ZPE + isotope (D/T) substitution Superconductor Lab — AI Simulator Activation 2026 🔬 Computational Research Note This analysis is based on computational modeling and theoretical predictions. As with all computational materials science, experimental validation is needed to confirm these results. 1. What Is

Deep-Dive

[Deep Dive] Probing Tensor Singularities and Their Euler-Class Descendants via Non-Abelian Quantum Geometry Measurement

🔬 DEEP DIVE ANALYSIS Probing Tensor Singularities and Their Euler-Class Descendants via Non-Abelian Quantum Geometry Measurement Superconductivity • May 19, 2026 Reading time: ~12 minutes 📑 Contents 1. Executive Summary 2. Technical Deep Dive 3. Market Landscape 4. Timeline & Milestones 5. Investment Perspective 6. Key Takeaways 📊 Executive Summary The experimental detection of

Superconductor-Lab

[Superconductor Lab | Week 15 Day 2] Li₂(Be,Al)H₁₆ and Na₂MgBeH₁₆ analogs - AI Simulator Activation

[Week 15 Day 2] Li₂(Be,Al)H₁₆ and Na₂MgBeH₁₆ analogs Superconductor Lab — AI Simulator Activation 2026 🔬 Computational Research Note This analysis is based on computational modeling and theoretical predictions. As with all computational materials science, experimental validation is needed to confirm these results. 1. A Quick History: Why

verification

❌ Verification: Li2MgH16 — Paper vs Simulation [2026-05-19]

We tested Li2MgH16: paper claims 473 K, our simulation predicts 180K. Here's what the gap tells us.