2026– date –
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Hugging Face Spotlights CrystalCLR and CHGNet for Enhanced Materials Property Prediction via Machine Learning
Hugging Face USA Overview Hugging Face highlights significant advancements in materials property prediction with the CrystalCLR framework and CHGNet machine learning interatomic potential. CrystalCLR improves material representations thr... -
Tokyo Institute of Science Unveils Explainable AI Leveraging ALIGNN and Hierarchical Clustering for High-Accuracy Optical Spectra Prediction in Materials
HyperAI (via Google News) Japan Overview Researchers at the Tokyo Institute of Science have significantly enhanced the interpretability of AI-driven materials predictions by combining the ALIGNN graph neural network with hierarchical clu... -
AI Model Accurately Locates Missing Hydrogen Atoms in Crystal Structures, Enhancing Materials Simulation Precision
Chemistry World (Royal Society of Chemistry) UK Overview Researchers have developed an AI model that accurately places missing hydrogen atoms within inorganic crystal structures, a long-standing challenge for traditional X-ray diffractio... -
AI Drives Rapid Design and Modeling of Organic Electrochemical Energy Materials for Advanced Batteries
ChemRxiv USA Overview Artificial intelligence is dramatically transforming the computational design and modeling of organic electrochemical energy materials (OEEMs) through data-driven property prediction, machine learning interatomic po... -
Hanwha Qcells Completes U.S. “Solar Hub” in Cartersville, Georgia, While Building Perovskite Tandem Pilot Line in South Korea
Perovskite-Info South Korea/USA Overview South Korea's Hanwha Qcells has completed its vertically integrated "Solar Hub" in Cartersville, Georgia, establishing full domestic production from ingot to module in the U.S. Concurrently, the c... -
Microquanta Launches 26%-Efficient Colored Perovskite-Silicon Tandem Modules for BIPV at Intersolar Europe, Commercialized with 25-Year Output Warranty
pv magazine Global China Overview China's Microquanta unveiled 26% efficient colored perovskite-silicon tandem modules for the Building-Integrated PV (BIPV) market at Intersolar Europe. These modules integrate architectural finishes, lik... -
Perovskite-Silicon Tandem Module Breaks 30% Efficiency Barrier at SNEC 2026, Achieving Over 900W Peak Power
Vmaxpower PV China Overview At SNEC 2026, perovskite/silicon tandem solar cell technology demonstrated remarkable progress, with large industrial-standard size (~3.1m²) tandem modules achieving over 900W peak power and over 29% aperture ... -
HZB and HTW Berlin Develop Novel Method to Predict Long-Term Stability of Perovskite Solar Cells, Enhancing Accelerated Degradation Testing
EurekAlert! Germany Overview Researchers from Helmholtz-Zentrum Berlin (HZB) and HTW Berlin have published a groundbreaking method in Joule for more accurately assessing the long-term stability of perovskite solar cells. Through 20 month... -
UtmoLight Unveils High-Strength (5400Pa Load) and Ultra-Light (4kg) Perovskite Solar Modules at SNEC 2026, Bolstering BIPV Market
pv magazine Global China Overview China's UtmoLight launched a new series of highly durable and ultra-light perovskite solar modules at SNEC 2026, addressing critical market needs for robust and versatile PV solutions. The "Chuangshi S2"... -
Driving Japan’s Energy Independence: Sekisui Chemical, Panasonic, Toshiba, EneCoat Lead Perovskite Solar Cell Development
YouTube Japan Overview Perovskite solar cells are gaining national attention in Japan for energy security and industrial policy. Major corporations like Sekisui Chemical, Panasonic, Toshiba, and EneCoat Technologies, alongside research i...
