Results 141 to 150 of about 291,213 (308)
Making the Case for Organ‐on‐Chip Platforms in Long‐Acting Therapeutics Development
LATs release drug from a tissue‐resident depot over weeks to months, improving adherence, but their development is hampered by preclinical models that cannot reproduce the coupled tissue processes, sustained release, local microenvironment change, interstitial transport, immune and foreign‐body responses, and clearance that govern depot performance in ...
Charlie Gowans +7 more
wiley +1 more source
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
wiley +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Associating a red‐NIR phosphorescent octahedral hexanuclear molybdenum cluster compound with hexaethyleneoxide chains bearing mesogenic units on both ends leads to an emissive hybrid liquid crystal showing mesomorphism on a very unusual temperature range down to −25°C.
Killiann Heinz +11 more
wiley +1 more source
Metacognitive Judgments and Syllogistic Reasoning
In this study we examined the relationship between metacognitive judgments and accuracy in syllogistic reasoning. In three experiments, the participants made different types of metacognitive judgments: confidence judgments, judgments of performance and ...
Igor Bajšanski +2 more
doaj
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
Improving crowdsourcing for AI through cognitive-inspired data engineering. [PDF]
Epping GP +5 more
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Spatial‐Compatibility‐Assisted Molecular Intercalation in MXenes
This work demonstrates a solvent–free NH4F–mediated route for simultaneous Al removal and molecular intercalation in MXenes. Intercalants are selected by comparing their crystallographic X, Y, and Z dimensions with the MXene interlayer spacing, establishing a spatial‐compatibility criterion that rationalizes guest–host matching and enables predictive ...
Minhao Sheng +6 more
wiley +1 more source

