August 2026– date –
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Lawrence Berkeley National Laboratory Unveils Quantum Accuracy Scale Transition from DFT to MLIP and Plans for Two Autonomous Labs at 2026 Annual Meeting
Lawrence Berkeley National Laboratory USA Overview Lawrence Berkeley National Laboratory's Molecular Foundry highlighted the quantum accuracy scale transition from DFT to MLIP in a keynote at its 2026 Annual Meeting. They also announced ... -
Schrödinger Launches AI Co-Scientist ‘Bunsen’ for Molecular Discovery; Yale Unveils ‘MOSAIC’ AI for Novel Chemical Synthesis Pathways
Facebook USA Overview Schrödinger has announced 'Bunsen,' an AI co-scientist designed to accelerate molecular discovery, supporting lead compound optimization and novel molecular design in drug development. Concurrently, Yale University ... -
DeepH-pack Unites Ab Initio Calculations and Deep Learning to Accelerate AI-Driven Electronic Structure Modeling
Facebook (reposting about DeepH-pack) USA Overview DeepH-pack has been introduced as a general-purpose neural network package that combines ab initio calculations with deep learning to accelerate electronic structure modeling. This tool ... -
AI Discovers High-Temperature Stable Lead-Free Dielectric Materials Using Multimodal Literature Mining and Physics-Based ML
Facebook USA Overview Researchers leveraged artificial intelligence (AI) to discover novel lead-free dielectric materials with high-temperature stability. The study employed a reverse design approach combining multimodal literature minin... -
FSU Alumnus Launches AI Company FindWhatMatters.ai to Revolutionize Physics Research with AI-Driven Data Analysis and Material Discovery
Facebook USA Overview An alumnus of Florida State University (FSU) has launched FindWhatMatters.ai, an AI company aiming to accelerate scientific discovery in physics research through AI integration. The company focuses on maximizing AI'... -
IIT Madras Develops World’s Largest Open Database of Advanced Alloys with AI-Driven Prediction, Revolutionizing HEA Discovery
Facebook (reposting content about IIT Madras) India Overview IIT Madras in India has developed the world's largest open database of advanced alloys for sustainable materials research, powered by an AI-driven prediction system. This innov... -
AI Revolutionizes Digital Discovery of MOFs: Integrating Computational Modeling and High-Throughput Screening to Slash Development Times
ACS Publications USA Overview Artificial intelligence (AI) and machine learning are revolutionizing the discovery and optimization of metal-organic framework (MOF)-based multifunctional materials. AI enables rapid exploration of MOFs' va... -
Japan to Accelerate Materials Development Tenfold with Autonomous AI System ‘MADI’
Facebook (reposting Nikkei Asia content) Japan Overview Japan is advancing a national strategy to accelerate materials development tenfold using artificial intelligence (AI). The autonomous system, named 'MADI (Materials Acceleration Des... -
Accelerated Understanding to Revolutionize Chip Design, Robotics, and Energy with Physics-Based AI Models
Facebook USA Overview Accelerated Understanding, a new startup, has announced the development of physics-based AI models capable of processing massive datasets across space and time. These models are planned for groundbreaking applicatio... -
Periodic Labs, an AI-Driven Materials Science Startup, Founded by Former OpenAI and Google DeepMind Researchers
Facebook (reposting about Periodic Labs) USA Overview Periodic Labs, a venture-backed startup, was founded in 2025 by former senior researchers from OpenAI and Google DeepMind. The company aims to accelerate scientific discovery, particu...
