New Technology– category –
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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... -
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... -
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... -
Nature Energy Paper Reports ‘Cascade Hole-Transfer Strategy’ Dramatically Boosts Long-Term Stability in Perovskite Solar Cells
Nature Energy Unknown Overview A study published in Nature Energy reports the development of a 'cascade hole-transfer strategy' for hybrid perovskite/organic solar cells, which suppresses charge recombination and provides inherent moistu... -
Tiny Pyramids Boost Perovskite/Silicon Tandem Efficiency to 30%, Enhancing Flexibility and Durability
Compound Semiconductor News China Overview A research team from the Shanghai Institute of Microsatellite Innovation (SIMIT) has achieved 30% power conversion efficiency in perovskite/silicon tandem solar cells by optimizing silicon wafer... -
7200 cm² Perovskite Module Achieves 17.2% Efficiency and IEC Certification with Slot-Die Coating and Green Solvents, Accelerating Commercialization
[Science Journal] Unknown Overview A 7200 cm² perovskite photovoltaic module achieved a certified stabilized efficiency of 17.2% and received IEC 61215 international reliability standard certification, leveraging slot-die coating and gre...
