Lucas Oriens Kim

AI-Lab-Test

[Day 1] CaBe₀.₅Mg₀.₅H₈ - AI Simulator Activation

[Day 1] CaBe₀.₅Mg₀.₅H₈ AI Simulator Activation Week 3 | 2026 ⚠️ In-Silico Research Notice This is an in-silico (computational) study. Results are AI-generated predictions and require experimental validation. Computational Prediction of Near-Ambient Superconductivity in Ternary Hydride CaBe0.5Mg0.5H8 Under High Pressure Journal of Computational Materials Science Abstract We report

By Lucas Oriens Kim

News

[Evening Innovation] February 22, 2026

🌆 Evening Innovation February 22, 2026 AI-Discovered Future Technology Focus: Space Exploration, Advanced Materials 1. MIT Unveils Computational Framework for 3D-Printed Soft Metamaterials Category: Advanced Materials 📅 Published: February 04, 2026 📰 Source: MIT News 🔗 Read Original Article → 🎨 View DALL-E Prompt Macro photography of a futuristic 3D-printed woven lattice structure, intertwining flexible fibers

By Lucas Oriens Kim

News

[Evening Innovation] February 21, 2026

🌆 Evening Innovation February 21, 2026 AI-Discovered Future Technology Focus: Space Exploration, Advanced Materials 1. Clean Transfer Technique for Graphene Heterostructures Category: Advanced Materials 📅 Published: February 19, 2026 📰 Source: Nature Synthesis 🔗 Read Original Article → 🎨 View DALL-E Prompt Futuristic laboratory setting, close-up of a golden hexagonal graphene lattice being transferred onto a

By Lucas Oriens Kim

AI-Lab-Test

[Day 5] ScB₂C₂-AlN Multilayer - AI Simulator Activation

[Day 5] ScB₂C₂-AlN Multilayer AI Simulator Activation Week 2 | 2026 ⚠️ In-Silico Research Notice This is an in-silico (computational) study. Results are AI-generated predictions and require experimental validation. Theoretical Investigation of Superconducting Properties in ScB₂C₂-AlN Multilayer Heterostructures Under Pressure Authors: Department of Computational Materials Science Abstract We

By Lucas Oriens Kim

AI-Lab-Test

[Day 4] CaBeH₈ - AI Simulator Activation

[Day 4] CaBeH₈ AI Simulator Activation Week 2 | 2026 ⚠️ In-Silico Research Notice This is an in-silico (computational) study. Results are AI-generated predictions and require experimental validation. Computational Prediction of High-Temperature Superconductivity in CaBeH₈ Under High Pressure Materials Science and Engineering, Computational Condensed Matter Physics Abstract We report a comprehensive computational

By Lucas Oriens Kim