Results 171 to 180 of about 64,667 (273)

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Reductive Cyclopentamerization of Carbon Monoxide to the Elusive Croconate Radical Trianion. [PDF]

open access: yesJ Am Chem Soc
Mondal A   +5 more
europepmc   +1 more source

Robot‐Assisted Measurement of the Critical Micelle Concentration

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio   +3 more
wiley   +1 more source

Thermometric Based‐Microswimmers with Chemical and Optical Engines

open access: yesAdvanced Intelligent Systems, EarlyView.
Temperature sensing at small scales is typically performed using passive luminescent particles. Here, an alternative approach is demonstrated by integrating upconversion thermometry into self‐propelled microswimmers powered by chemical fuels or light. This strategy offers a step toward dynamic thermal sensing at the microscale, relevant to both lab‐on ...
João M. Gonçalves, Katherine Villa
wiley   +1 more source

50 Years of Giese Reaction - a Personal View. [PDF]

open access: yesAngew Chem Int Ed Engl
Spichty M   +4 more
europepmc   +1 more source

Wireless, Battery‐Free Wearable Pressure Sensor for Compression Therapy Entirely Built on Surface Mount Devices

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a flexible, battery‐free sensor that forms a closed‐loop feedback system for smart compression therapy devices. Its scalable surface‐mount manufacturing, compact form factor, and wireless communication enable seamless integration with a wide range of active compression garments, improving user experience and therapeutic outcomes ...
Sinuo Zhao   +11 more
wiley   +1 more source

Programmable electric tweezers. [PDF]

open access: yesSci Adv
Chen Y   +5 more
europepmc   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

open access: yesAdvanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai   +10 more
wiley   +1 more source

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