Results 101 to 110 of about 4,926,046 (277)
From local explanations to global understanding with explainable AI for trees
Nature Machine Intelligence, 2020 Scott M. Lundberg +9 more
semanticscholar +1 more source
Beyond the Beam: Exploring Charged Particle Nanoprinting
Advanced Functional Materials, EarlyView.Charged particle nanoprinting using electrons and ions is highly advanced, offering great potential for research and industry. However, challenges in precursor design and process optimization persist, but also offer great opportunities to drive nanofabrication innovations.
Nicolas Paul Jochmann +2 more
wiley +1 more source
Tunable Synthetic Hydrogel Modulates Hepatic Lineage Specification of Human Liver Organoid
Advanced Functional Materials, EarlyView.In this study, a synthetic hydrogel is reported that supports the formation of hiPSC‐derived human liver organoids (HLOs). Hepatic lineage specification can be modulated via conjugation of RGD peptide to hydrogel: RGD‐conjugated hydrogels promote cholangiocyte differentiation, whereas RGD‐free hydrogels favor hepatocyte commitment of HLO cells.
Lei Wang +16 more
wiley +1 more source
Advanced Functional Materials, EarlyView.AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.The integration of photovoltaic (PV) systems into building structures introduces distinct fire risks with critical implications for occupant safety. This review examines the key fire hazards associated with PV implementation and explores mitigation strategies, including flame‐retardant additives.
Florian Ollagnon +7 more
wiley +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
Advanced Functional Materials, EarlyView.This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Mathematical and Computational ApplicationsThis study addresses the challenge of generating accurate and compact oblique decision trees using self-adaptive differential evolution algorithms. Although traditional decision tree induction methods create explainable models, they often fail to achieve
Rafael Rivera-López +3 more
doaj +1 more source