2026– date –
-
Data-Driven Inverse Design Framework Achieves Robot Hand with Human-Comparable Dynamic Performance
MDPI International Overview A data-driven inverse design framework has enabled the development of a dexterous robot hand optimized for high-frequency dynamic performance, achieving human-comparable capabilities. Verified through complex ... -
Leo AI Demonstrates AI Revolutionizing Mechanical Design Material Selection for Efficient Identification of Optimal High-Performance Materials
Leo AI International Overview AI technology is fundamentally transforming the material selection process in mechanical design, dramatically streamlining the identification and optimization of high-performance materials. AI utilizes multi... -
Symmetry-Guided AI Model SG-CDVAE Identifies Four Stable Novel Antiferromagnets for Spintronics Applications
AZoM International Overview A novel symmetry-guided AI model, SG-CDVAE, has identified four stable candidate antiferromagnets specifically for spintronics applications. This generative deep learning framework significantly accelerates th... -
IBM Leverages LLMs and Evolutionary Framework to Discover 465 Novel Quantum Error Correction Code Candidates
IBM Research USA Overview IBM researchers have developed an evolutionary framework powered by Large Language Models (LLMs) that identified 465 novel quantum error correction code candidates. This groundbreaking approach demonstrates LLMs... -
Swiss PSI AI Model Accurately Locates Missing Hydrogen Atoms in Crystal Structures, Overcoming X-ray Diffraction Limitations
Chemistry World Switzerland Overview Researchers at the Paul Scherrer Institute (PSI) in Switzerland have developed an AI model that precisely places missing hydrogen atoms within inorganic crystal structures, a task previously challengi... -
AI and Generative Models Accelerate Organic Semiconductor Discovery Through Inverse Design
Request PDF International Overview A new review highlights that machine learning (ML) and generative AI are becoming indispensable for accelerating the discovery and design of organic semiconductors. These AI technologies enable the effi... -
South Korea and China Intensify Perovskite Mass Production Race for Space Solar Market: Hanwha Solutions Joins Lunar Probe, China Establishes Space Energy Alliance
유니콘팩토리 (Unicorn Factory) South Korea Overview South Korea and China are intensifying their mass production race for perovskite solar cells in the burgeoning space solar market. Hanwha Solutions (Korea) is accelerating its entry int... -
Oxford PV and Fraunhofer ISE Achieve 25.6% Efficiency for Perovskite-Silicon Tandem Module with Shingled Design
pv magazine Global Germany Overview Oxford PV, in collaboration with Fraunhofer ISE, achieved 25.6% power conversion efficiency for a perovskite-silicon tandem module incorporating Fraunhofer ISE's Matrix Shingle architecture. This innov... -
Perovskite Solar Cells’ “High Efficiency, Reliability, and Bankability” Become Key to Commercialization as SpaceX IPO Nears
시사저널e (Sisajournal-e) South Korea Overview With SpaceX's IPO approaching, interest in perovskite solar cells as a next-generation technology is surging. Success in the commercialization race hinges not just on high efficiency but cru... -
Trinasolar Achieves World-Record 29.2% Efficiency for Perovskite-Silicon Tandem Solar Module; Tandem PV Initiates Mass Production in US
CleanTechnica USA Overview Trinasolar set a world record on June 9th, achieving 29.2% power conversion efficiency and 907 watts output for an industrial-sized perovskite-silicon tandem solar module, verified by TÜV SÜD. Concurrently, US-...
