Results 161 to 170 of about 4,157,285 (290)
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
Introducing Diradicaloid Thiele's Hydrocarbon Derivatives as Ligand in Transition Metal Chemistry
N‐doped Thiele's hydrocarbon derivative is introduced as a ligand for the synthesis of mono‐ and bimetallic rhodium complexes as well as cyclometalated iridium complexes. These compounds constitute the first metal complexes based on a Thiele's hydrocarbon (or p‐quinodimethane) derivative and, to the best of our knowledge, the first cyclometalated ...
Alok Mahata +2 more
wiley +2 more sources
Abstract Preserving ecosystem services, along with economic and environmental benefits, will require future landscape policies to identify and incorporate relevant landscape features. In this paper, we investigate the causal effect of agricultural landscape simplification on drought‐related grassland damages.
Marco Ferro +5 more
wiley +1 more source
Porous polymer monoliths embedded with sensitizer–annihilator dye pairs enable efficient solid‐state visible‐to‐ultraviolet triplet–triplet annihilation‐based photon upconversion under low‐intensity blue and green light. Their co‐continuous porous architectures balance chromophore interactions with substrate accessibility, providing robust and tunable ...
Sakura Nakagawa +5 more
wiley +2 more sources
ABSTRACT Background Patients with chronic rhinosinusitis with nasal polyps (CRSwNP) exhibit heterogeneous responses to oral glucocorticoids (GCs), but the biological basis of this variability remains unclear. Objective To identify gut microbiome‒plasma metabolomic signatures associated with GC responsiveness in CRSwNP patients and to compare their ...
Ying‐Ying Zhang +7 more
wiley +1 more source

