Results 141 to 150 of about 383,210 (257)

Mechanochemistry: Fundamental Principles and Applications

open access: yesAdvanced Science, EarlyView.
In this review, the physicochemical principles of mechanochemistry are first clarified. Based on this foundation, the research basis and cutting‐edge scientific achievements in four areas are introduced: solid‐state organic chemistry, polymers, interface science, and biomechanochemistry.
Liang Dong   +4 more
wiley   +1 more source

Electrical Microneedles for Wound Treatment

open access: yesAdvanced Science, EarlyView.
A review on state‐of‐art research concerning electrical microneedles applied for wound treatment is presented. After a comprehensive analysis of mechanisms of electrical stimulation on wound healing, the derived three types of electrical microneedles are clarified and summarized. Further, their applications in wound healing are highlighted.
Yu Wang   +6 more
wiley   +1 more source

A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search

open access: yesAdvanced Science, EarlyView.
Pareto Monte Carlo Tree Search Molecular Generation (PMMG), a molecular generation approach leveraging Monte Carlo Tree Search (MCTS) and Pareto algorithm, efficiently explores the Pareto front in high‐dimensional objective spaces for multi‐objective drug design.
Yifei Liu   +12 more
wiley   +1 more source

A novel network lifetime maximization technique in WSN using energy efficient algorithms. [PDF]

open access: yesSci Rep
Vijayalakshmi K   +7 more
europepmc   +1 more source

Revealing the Origin and Nature of the Buried Metal‐Substrate Interface Layer in Ta/Sapphire Superconducting Films

open access: yesAdvanced Science, EarlyView.
The origin and nature of metal‐substrate interface layer in Ta/sapphire‐based superconducting films is investigated using synchrotron X‐ray reflectivity and scanning transmission electron microscopy. An intermixing layer, ≈0.65 nm thick containing Al, O, and Ta atoms, is identified at the interface.
Aswin k. Anbalagan   +16 more
wiley   +1 more source

Machine Learning‐Enabled Drug‐Induced Toxicity Prediction

open access: yesAdvanced Science, EarlyView.
Unexpected toxicity accounts for 30% of drug development failures. This review highlights ML innovations in predicting drug‐induced toxicity, emphasizing comparative analyses, interpretable algorithms, and multi‐source data integration. It categorizes toxicity types, summarizes ML models, and organizes key databases, offering strategies to address ...
Changsen Bai   +5 more
wiley   +1 more source

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