2026– date –
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MLIP training: Small-dataset strategy for 0.3 eV error in 2026
arXiv (Preprint) Unknown Overview A preprint on arXiv proposes a novel training scheme for machine-learned interatomic potentials (MLIPs) to accelerate point defect simulations. This efficient method trains MLIPs using limited DFT data, ... -
MIT 3D Generative AI: Text-to-physical object specs for 2026
Bits to Atoms (MIT CDFAM Washington DC 2026 presentation) USA Overview MIT's Alexander Htet Kyaw has unveiled a pioneering research pipeline that combines 3D generative AI, vision-language models, and robotic assembly. This system can ge... -
MLIPs: Truncated Automatic Sparse Differentiation efficiency specs
Cool Papers (Preprint/Research Highlight) Unknown Overview Calculating high-order derivatives, such as Hessians, for machine learning interatomic potentials (MLIPs) has been computationally intensive for large systems. This research prop... -
PHICS: Physics-constrained ML for composite inverse design specs
Science China Press (Research Highlight/Press Release) China Overview The Physics-constrained inverse design system (PHICS) has been developed for the efficient inverse design of multifunctional composite materials. PHICS integrates phys... -
ML Interatomic Potentials: Quantum computing data bridge explained
Cool Papers (Preprint/Research Highlight) Unknown Overview This research proposes a framework to enhance the accuracy of universal machine-learning interatomic potentials (uMLIPs) by leveraging sparse, high-fidelity data from quantum com... -
NVIDIA ALCHEMI: ENEOS catalyst discovery specs and 100M tests
Markets Insider (Matlantis and ENEOS Holdings Corporation joint announcement) Japan Overview Matlantis announced that ENEOS Holdings has dramatically accelerated its oxygen evolution reaction (OER) catalyst discovery process from years t... -
Tianjin University: AI-driven γ-Al2O3 catalyst design explained
EurekAlert! (Tianjin University research) China Overview Researchers at Tianjin University identified two novel, more stable defect-rich low-energy structures of γ-Al₂O₃ (γ-NAV and γ-AV) using a neural network-guided global optimization ... -
Halogenated Spacers Unlock Stable Lead-Free Perovskites for Sustainable Solar Energy
The University of Toledo USA Overview Researchers at the University of Toledo have made a pivotal contribution to advancing lead-free tin-perovskite solar cell stability, detailed in *Nature Materials*. They successfully engineered a sig... -
Molecular Engineering Unleashes Orthogonal Defect Passivation for Stable, High-Efficiency Perovskite Solar Cells
Bioengineer.org USA Overview Researchers have developed an 'orthogonal' passivation strategy for perovskite solar cells, employing sterically bulky molecules to independently suppress surface defects without mutual interference. This inn... -
Renshine Solar: Meter-scale perovskite scalability explained
Biz News+ | Jayant Mundhra China Overview Nanjing University and Renshine Solar announced in Nature in August 2026 a breakthrough addressing the scalability problem of perovskite solar cells at meter-scale. This achievement overcomes a l...
