Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Enhanced image hash using cellular automata with sponge construction and elliptic curve cryptography for secure image transaction. [PDF]
Ibrahim MM +6 more
europepmc +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Biotechnical Multiscale Engineering of Scaffolds for Stem Cell and Organoid Research. [PDF]
Küstner MJ +13 more
europepmc +1 more source
Assessing future landslide susceptibility and risk escalations under changing LULC and climate conditions in the Western Ghats of Karnataka in India. [PDF]
Pramanik M, Hegde A.
europepmc +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
Design of a low-delay 4-bit parallel prefix adder using QCA technology. [PDF]
Niranjan T +3 more
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Formal methods for safety-critical machine learning: a systematic literature review. [PDF]
Newcomb A, Ochoa O.
europepmc +1 more source

