Results 81 to 90 of about 2,100 (209)

Analysis of Electromagnetic and Thermal Processes of an Induction Motor Using 3D Modeling

open access: yes
The results of research and analysis of electromagnetic and thermal processes taking place in an induction motor are presented. Information is presented on the creation of a design model of an auxiliary induction motor with various parameters according ...
B. M. Khrustalev   +3 more
core   +1 more source

Miniature Soft Robot With Magnetically Reprogrammable Surgical Functions

open access: yesAdvanced Materials, EarlyView.
Miniature soft robots have great prospects to revolutionize minimally invasive treatments. Here we present a miniature soft robot, which can be reprogrammed to perform five surgical functionalities with six‐degrees‐of‐freedom motions. This soft robot can prospectively make minimally invasive surgery considerably safer and painless, and enable ...
Chelsea Shan Xian Ng   +4 more
wiley   +1 more source

Modeling of electromagnetic, heat transfer, and fluid flow phenomena in an EM stirred melt during solidification

open access: yes, 2012
Electronic Thesis or DissertationA methodology is presented to simulate the electromagnetic, heat transfer, and fluid flow phenomena for two dimensional electromagnetic solidification processes.
Poole, Gregory Michael
core  

Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?

open access: yesAdvanced Materials, EarlyView.
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley   +1 more source

Developments in machine learning based modeling and design for electromagnetic compatibility

open access: yes
Machine learning (ML) has gained traction and emerged as one of most researched topics in recent years. Many engineering disciplines are taking advantage of a multitude of developed ML tools to enhance the engineering workflow, solve complicated problems
Hassab, Youcef   +7 more
core  

Pulsed Laser‐Assisted Phase Engineering of Multimetallic Colloidal Nanocrystals With Complex Compositions

open access: yesAdvanced Materials, EarlyView.
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela   +4 more
wiley   +1 more source

Computer modeling and investigation of electromagnetic and thermal processes at magnetic fluid hyperthermia of tumour cells

open access: yes, 2009
Методом комп’ютерного моделювання на прикладi фiзичної моделi мишi дослiджено електромагнiтнi та тепловi процеси при магнiтно-рiдиннiй гiпертермiї пухлинних утворень.
Бондар, В.В.   +5 more
core  

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

open access: yesAdvanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen   +7 more
wiley   +1 more source

Rational Tuning of Hygroscopic Oscillation of Stacked Nanoflake Assemblies for Continuous Ambient Energy Harvesting

open access: yesAdvanced Materials, EarlyView.
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang   +5 more
wiley   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

open access: yesAdvanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong   +11 more
wiley   +1 more source

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