Results 241 to 250 of about 2,534,483 (361)

Two‐Stage GAN‐Based Generation of Virtual 3D Multicrystalline Silicon Reproducing Nucleation and Crystal Growth Processes Using Crystallographic Information from Real Ingots

open access: yesAdvanced Intelligent Discovery, EarlyView.
We developed two generative adversarial network models that correspond to nucleation and directional solidification, using data collected from real materials. By combining these models, we created a method to virtually replicate real‐world crystal growth experiments and generate a variety of 3D multicrystalline silicon models in cyberspace.
Takumi Deshimaru   +7 more
wiley   +1 more source

Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

Impact of an enterprise controlled substance management system on labor and inventory costs. [PDF]

open access: yesAm J Health Syst Pharm
Mohundro M   +6 more
europepmc   +1 more source

Advancements in Machine Learning for Microrobotics in Biomedicine

open access: yesAdvanced Intelligent Systems, EarlyView.
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi   +6 more
wiley   +1 more source

Graph‐Based Representation Approach for Deep Learning of Organic Light‐Emitting Diode Devices

open access: yesAdvanced Intelligent Systems, EarlyView.
In this study, a novel graph‐based representation methodology is proposed to effectively address current challenges in description. An ideal approach to representing the device parameters in the static equilibrium state is suggested. In the trained predictive model, superior accuracy is demonstrated, making it a reliable tool for representing organic ...
Taeyang Lee   +11 more
wiley   +1 more source

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