Chiba University News
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Latest Articles
- Chiba University Researchers Establish Universal Standard to Optimize Perovskite Solar Cell Charge Collection
Published: May 1, 2026
Section: Research
A research team in Japan has developed a foundational model for energy level alignment at the interfaces of perovskite solar cells using hole-collecting monolayers. The new framewo...
- Chiba University Scientists Develop Adaptive Chlorophyll Polymer Capable of Gradual Helical Transformation Over Time
Published: Apr 28, 2026
Section: Research
A multi-institutional research team in Japan and the UK has synthesized a chlorophyll-based supramolecular polymer that evolves from nonhelical fibers into precise helical structur...
- Chiba University Researchers Engineer Self-Assembling Nanotubes Capable of Multidirectional Light Energy Transport for Advanced Optoelectronics
Published: Apr 20, 2026
Section: Research
A research team led by Professor Shiki Yagai has successfully programmed sterically demanding diphenylanthracene molecules to self-fold into highly ordered, hollow supramolecular n...
- Chiba University researchers achieve record CO2-to-methane conversion by balancing light and heat pathways
Published: Apr 16, 2026
Section: Research
A research team in Japan has clarified the dual roles of photocatalytic and photothermal processes in converting carbon dioxide into usable fuel. By utilizing a Ru–Ni–ZrO2 catalyst...
- Chiba University Researchers Link High Fcγ Receptor Affinity to Fatal Antibody Drug Anaphylaxis
Published: Apr 8, 2026
Section: Medical News
A study from Chiba University published in the Journal for ImmunoTherapy of Cancer identifies strong binding to Fcγ receptors as a primary predictor for life-threatening anaphylaxi...
- Chiba University Researchers Engineer Novel Embedding Driven AI Framework to Revolutionize Adaptable Brain Computer Interface Control
Published: Mar 11, 2026
Section: Science & Tech
Engineers in Japan have developed the Embedding-Driven Graph Convolutional Network (EDGCN), a breakthrough AI framework designed to decode complex motor imagery brain signals. By u...