Results 151 to 160 of about 84,352 (296)
The Far Side of Carboranes: Anticancer Active Monocations and Ambiently Stable Dications
This work describes the synthesis of bench‐stable dicationic carboranes. Their enhanced electrophilicity is documented by opening the clusters with weak nucleophiles or dihydrogen. The surprising stability of positively charged carboranes in water enabled a study of their in vitro antiproliferative activity, which surpassed the effects of doxorubicin ...
Vlastimil Němec +10 more
wiley +2 more sources
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
Abstract This article demonstrates the integration of in‐line mass spectrometry as a process analytical technology (PAT) tool with model‐based soft sensors in a continuous filtration‐drying carousel system for solid–liquid separation (SLS) of crystal slurries.
Inyoung Hur +3 more
wiley +1 more source
Steering the Shape‐shifting of Bullvalene‐PdII Complexes Through Steric and Geometric Strain
This study explores the use of bis‐pyridyl substituted bullvalenes as dynamic shape‐shifting ligands within cis‐capped PdII complexes. The ring position of the pyridyl nitrogen is critical, leading to a range of Pd2L2 metallacycles and simple PdL complexes, each with distinctive bullvalene isomer preferences (represented in the figure by A‐D isomer ...
André P. Birvé +2 more
wiley +2 more sources
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Modular Assembly of Dynamic Polymer Networks From Heteroaffinity Cross‐Links to Multivalent Proteins
This study develops a method to modularly assemble oligomeric binding proteins, like streptavidin, using heterobifunctional cross‐linkers that have both a strong‐ and a weak‐affinity binding moiety. These dynamic cross‐linkers enable the assembly of polymer networks with unique meta‐stable nonequilibrium topologies, and that exhibit chemically tunable ...
Tianyue Dai +6 more
wiley +2 more sources
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
ABSTRACT Introduction Initial stay time (IST), the duration of continuous work before core temperature reaches 38.0°C, has been characterized in young and older adults but not across consecutive work periods or in conjunction with standard work‐rest cycles.
Glen P. Kenny +9 more
wiley +1 more source
Biomimetic electrospun scaffold incorporating GDF‐7‐loaded mesoporous silica nanoparticles, combined with mechanical stimulation and physiological oxygen tension, guides tenogenic differentiation of mesenchymal stromal cell and tendon progenitor stem cell. This integrated approach enhances cell proliferation, matrix deposition, and tendon‐specific gene
Vera Citro +3 more
wiley +1 more source
Risks of radiation exposure to old military compasses with radioluminescent markings. [PDF]
Miklavčić I +3 more
europepmc +1 more source

