Machine Learning Becomes a Navigator for Designing Functional Materials
A new perspective article argues that machine learning serves functional materials research best as a practical navigator that prioritizes candidates ...
A new perspective article argues that machine learning serves functional materials research best as a practical navigator that prioritizes candidates ...
A comprehensive review in Discover Nano examines how perovskite materials could serve sustainable technologies while warning that lead content, leaching ...
Nanocrystalline SrTi1−xFexO3−δ perovskites emerge as cobalt-free, structurally adaptive symmetric electrodes for intermediate-temperature solid oxide fuel cells, with Fe content governing ...
A hybrid deep learning framework combining fuzzy preprocessing, bio-inspired feature selection and a novel Hopfield attention network predicts organic perovskite ...
A new review in Ionics details how organic-inorganic halide perovskites, famous for solar cells, are emerging as high-capacity lithium-ion battery ...
Indian researchers have shown that lutetium donor doping of sol-gel barium strontium titanate simultaneously boosts dielectric tunability to 67.1 percent, ...
A review finds that tunable perovskite semiconductors could use light-generated reactive species to degrade persistent dyes in wastewater, while highlighting ...
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© 2025 Scienmag - Science Magazine