Results 91 to 100 of about 19,671 (255)
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
This study aimed to investigate the determinants of transaction satisfaction and intention to use local second-hand marketplace platforms, focusing on the impact of negotiation costs and the moderating influence of users’ sense of their neighborhood ...
Jisoo Park, Mi-ah Lee, Ha Youn Kim
doaj +1 more source
This work introduces sustainable PLA/graphene oxide bioelectronic interfaces featuring electrodes with tunable conductivity and strong electrocatalytic performance. These platforms were used to implement a new method for tuning astrocyte Ca2+ signaling and for the efficient detection of key biomarkers.
Alessandra Scidà +15 more
wiley +1 more source
Appropriate subcontracting strategy optimizes large-scale engineering project organization, enhancing implementation efficiency. However, numerous subcontractors increase the transaction costs of project subcontracting management.
Yuanyuan Hua +3 more
doaj +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
Cancer‐associated NPC remodeling creates a high‐flux, low‐stringency nuclear state that supports malignant adaptation but increases mechanical fragility. Targeting the FG‐barrier or NPC scaffold may drive mechanostat failure, envelope rupture, DNA damage, and loss of nuclear integrity.
Sílvio Terra Stefanello +5 more
wiley +1 more source
Electropolymerized Aptasensor for Femtogram‐Level Cytokine Detection
Electropolymerization of 3‐amino‐ʟ‐tyrosine creates ultrathin, smooth, and chemically robust pALT nanofilms with accessible carboxyl functionalities for direct aptamer immobilization. Integrated with fiber‐optic SPR and OECT platforms, these interfaces enable IL‐6 detection down to 100 fg mL−1 and provide a versatile route to bioelectronic sensing ...
Jiyao Yu +7 more
wiley +1 more source
Transaction Costs and Competition Policy
Abstract This paper evaluates current antitrust policy in light of our current understanding of how transaction costs influence the ability of firms and consumers to deal with market power. The paper shows how the failure to consider transaction costs can lead to erroneous policy decisions.
openaire +1 more source
Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris +7 more
wiley +1 more source
This study demonstrates the combination of magnetic nanoparticles and functional blowing agents into supraparticles. Upon induction heating, they actuate via rapid gas generation or extensive volume expansion. These supraparticles lift up to 25 000 times their own mass and rapidly open cured epoxy resins, providing a versatile strategy for fast micron ...
Leoni Luthardt +3 more
wiley +1 more source

