Materials Informatics– category –
-
Materials Informatics Weekly Report May 7, 2026
📄 Weekly Report June 07, 2026 (PDF) — Download Weekly Report June 07, 2026 (PDF) — DownloadDownload 🎙 Podcast June 07, 2026 (MP3) — Play & Download マテリアルインフォマティクスEnglishPodcast_20260607.mp3Download -
bioRxiv: ORIGAMI, an Orientation-Aware GNN, Developed for Assessing Multimeric Interfaces of Protein Complex Structures
bioRxiv Unknown Overview A study published on bioRxiv introduces "ORIGAMI," an orientation-aware graph neural network (GNN) for evaluating multimeric interfaces of protein complex structures. ORIGAMI innovatively utilizes both scalar and... -
MDPI: ML-Based Structure-Property Relationship Modeling Boosts Polymer Property Prediction Accuracy
MDPI Switzerland Overview Research published in MDPI proposes a comprehensive machine learning (ML)-based framework for predicting polymer physical properties and identifying structure-property relationships (SPR), improving prediction a... -
arXiv: PolyGraphPy Unifies Atomistic Simulation and ML-Driven Polymer Design in a Python Framework
arXiv Unknown Overview A new paper on arXiv introduces "PolyGraphPy," a unified Python framework for atomistic simulation and machine learning (ML)-driven polymer design. This open-source framework seamlessly integrates atomistic simulat... -
Topsoe Declares AI the “Fifth Paradigm” in Materials Science, Poised to Revolutionize Catalysis, Electrolysis, and Battery Design
Topsoe デンマーク Overview Topsoe, a global leader in catalyst technology, has announced that AI is emerging as the "fifth paradigm" in materials science, fundamentally transforming material discovery and design. Their AI systems combine... -
AI Inverse-Designs “Super-Material” Stronger Than Steel and Lighter Than Foam
Medium - Dark Energy Articles USA Overview Artificial intelligence has reportedly developed a revolutionary carbon-based nanolattice "super-material" that is stronger than steel yet significantly lighter than foam. This achievement demon... -
Apoha Raises $36M to Scale AI Platform for Designing Proteins, Food Ingredients, and New Materials with Liquid-State Molecular Behavior Data
PPTI News UK/USA Overview London and San Francisco-based startup Apoha has secured $36 million in funding to scale its AI platform for designing proteins, food ingredients, pharmaceuticals, and advanced materials. The company is building... -
ResearchGate: NequIP GNN Predicts Amorphous Material Many-Body Interactions at 10,000x Lower Cost than DFT
ResearchGate Unknown Overview Recent research applied NequIP, an equivariant message passing graph neural network (GNN), to predict many-body interactions in model soft glasses of solvent-free polymer-grafted nanoparticles (PGNs). NequIP... -
NC State’s PoLARIS Autonomous Lab Discovers Lead-Free Nanoplatelets in 12 Hours, Accelerating Scientific Discovery by 100x
NC State News USA Overview NC State University's Self-Driving Lab (SDL) technology intelligently plans and executes experiments to discover optimal "recipes" for new molecules and materials, accelerating discovery up to 100 times faster ... -
University of Toronto’s Acceleration Consortium Drives Material Development with Autonomous Labs (SDLs), Dramatically Cutting Time and Cost
Harrowings - Substack Canada Overview The University of Toronto's Acceleration Consortium (AC) is demonstrating how Self-Driving Labs (SDLs) are maturing into a transformative infrastructural layer for physical sciences, aiming to signif...
