Results 121 to 130 of about 115,241 (242)

Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective

open access: yesAdvanced Science, EarlyView.
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

open access: yesAdvanced Science, EarlyView.
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

Sobre os Autores

open access: yesTempo e Argumento, 2009
Tempo Argumento
doaj  

A Low-Permeability TEMPO-Phosphate as an Anionic Posolyte for Aqueous Redox-Flow Batteries. [PDF]

open access: yesAngew Chem Int Ed Engl
Grignon E   +4 more
europepmc   +1 more source

Tempo, Tempo, Tempo - et intervju med meg selv

open access: yes, 2018
Skriftlig obligatorisk arbeid levert som del av MA avslutningsarbeid ved Avdeling Kunstakademiet ...
openaire   +1 more source

Closed‐Loop Radiative Cooling Mulch Upcycled From Agricultural Residues for Efficient Soil Heat–Water Stress Mitigation

open access: yesAdvanced Science, EarlyView.
Conventional passive radiative cooling films rely on costly feedstocks and energy‐intensive fabrication, with poor end‐of‐life compatibility in agriculture. To address this challenge, a sustainable radiative cooling mulch (SRCM) is developed from waste maize leaves via spontaneous hydrogen‐bond self‐assembly.
Hao Li   +13 more
wiley   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

open access: yesAdvanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi   +4 more
wiley   +1 more source

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