November 2026– date –
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Epoxy Degradation Analysis: PCA-Based Spectral Fingerprinting
BIOENGINEER Overview Researchers used principal component analysis (PCA) to link the spectral fingerprints of degrading amine-cured epoxy adhesives to the loss of mechanical strength. The study reveals that degradation behavior varies si... -
NVIDIA Tensor Cores: Speedups for ML Interatomic Potentials
Blockchain News USA Overview NVIDIA's Tensor Core FP32 methods, specifically BF16x9 for Blackwell and TF32x3 for Ampere, accelerate machine learning interatomic potentials without requiring model retraining. In tests using the Point Edge... -
EdenGNN: Equivariant Neural Network for Faster Charge Density Prediction
BIOENGINEER USA Overview Researchers have developed EdenGNN, a machine learning framework that predicts the charge density of crystalline materials over an order of magnitude faster than existing generalizable models. This efficiency gai... -
Transition Metal Carbides: Composition-Based Melting Point Prediction
BIOENGINEER Overview Machine learning analysis reveals that elemental composition alone is sufficient to predict the melting temperatures of transition metal carbides. Adding complex descriptors like formation energies and bond geometry ... -
AI Materials Models: New Benchmark for Physics-Aware Accuracy
BIOENGINEER USA Overview Researchers from Columbia Engineering and the University of Cambridge have developed a benchmark to determine if machine learning models for materials science derive macroscopic properties from correct underlying... -
MXene Discovery: AI-Driven Identification of 33 2D Materials
xenospectrum Overview An international research team led by Linköping University identified 33 previously overlooked MXene candidates by applying machine learning to decades-old crystal data. The team successfully synthesized 18 multilay... -
Lead-Free Perovskite Solar Cells: Sophia University’s Stability Fix
SolarBE China Overview Researchers at Sophia University have developed a lead-free perovskite solar cell using tin to improve environmental safety and durability. By implementing a layered structure with organic molecules, the team maint... -
Perovskite Solar Cells: Flexible Modules with 26.9% Efficiency
Yahoo Nachrichten DE Germany Overview Researchers from Southeast University and Soochow University have developed flexible perovskite solar cells achieving a peak efficiency of 26.9%. By utilizing a new coating process to maintain high p... -
Perovskite Solar Cells: KIER and UNIST Stability Process 2026
xenospectrum South Korea Overview Researchers from KIER and UNIST have developed a catalytic filtration process that allows perovskite solar cells to retain 95% of their initial efficiency after 1,000 hours of damp-heat testing. By remov... -
Hemispherical Perovskite Solar Cells: Angle-Robust Design Specs
pv magazine China Overview Researchers in China have developed a hemispherical perovskite solar cell with a textured surface that reduces power fluctuations caused by varying sunlight angles. The textured rounded-cone design achieved an ...
