Results 131 to 140 of about 515,082 (288)
Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective
Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok +4 more
wiley +1 more source
Femtosecond‐Laser‐Induced Physical Unclonable Random Maze Structure for Storage‐Free Encryption
Femtosecond‐laser‐induced gold random maze structures serve as multimodal physical unclonable functions for storage‐free encryption. Their stochastic optical, electrical, and Raman responses are generated by plasmon‐assisted Marangoni formation and converted into AES‐compatible keys without permanent secret‐key storage, offering a portable route toward
Shiru Jiang +6 more
wiley +1 more source
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
Measuring market orientation in several populations : a structural equations model. [PDF]
Most researchers have studied economic performance linked to market orientation, while a lesser interest has been shown in validating this construct’s measure.
Maydeu Olivares, Alberto +2 more
core
Biodegradable Zn‐Based Implants: Progress, Challenges, and Pathways toward Clinical Translation
Exploring biodegradable Zn‐based implants offers a promising pathway to next‐generation biomedical devices with balanced degradation and biocompatibility. A comprehensive overview of biodegradable Zn‐based implants, covering their biological significance, material design principles, and advanced engineering strategies is provided.
Panfeng Zhao +10 more
wiley +1 more source
The CuAg@MSN catalyst developed in this study promotes C─C coupling by regulating the coverage of *CO intermediates through spatial confinement effects, significantly enhancing the selectivity of CO2 electroreduction for C2 product formation. ABSTRACT Tandem catalysts represent a promising paradigm for synergistic electrochemical CO2 reduction (CO2RR ...
Jiaying Zhang +14 more
wiley +1 more source
• The National Electricity Market was established in the context of a national productivity reform agenda aimed at delivering markets that are competitive where possible, and well -regulated where not.
Australian Energy Market Commission
core
LiF‐rich solid electrolyte interphases in lithium metal batteries are redefined as controllable nanostructured building blocks rather than homogeneous protective films. This review shows how LiF distribution, grain boundaries, and heterogeneous interfaces govern electron blocking and Li ion transport, and compares fluorinated electrolytes, artificial ...
Gwangsik Kim, JinHyeok Cha
wiley +1 more source
Bifunctional adsorption‐storage films enable autonomous indoor humidity regulation and freshwater harvesting, rapidly decreasing relative humidity from 90.7% to 21.6% within one hour while producing 1.1 kg·m−2·day−1 of water, offering a passive route towards energy‐efficient humidity control and sustainable indoor environments. ABSTRACT Indoor humidity
Yuechao Chao +10 more
wiley +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source

