Results 221 to 230 of about 4,017,085 (357)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Personalized Jargon Identification for Enhanced Interdisciplinary Communication. [PDF]
Guo Y+6 more
europepmc +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan+5 more
wiley +1 more source
Assessment of the quality of interdisciplinary communication (CritCom): evaluation and refinement of a center summary report. [PDF]
Counts L+8 more
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz+2 more
wiley +1 more source
Multi‐Module Micro/Nanorobots for Biomedical and Environmental Remediation Applications
Multi‐module microrobots (MNRs) have overcome the limitations of single‐module systems by integrating components such as propeller, actuator, manipulator, and imaging modalities. They show promise in biomedical applications, such as targeted drug delivery and tissue repair, as well as in environmental remediation, including pollutant removal.
Bairong Zhu+4 more
wiley +1 more source
Compliant Robotics in Space: A Prospective Review of Soft and Deformable Systems for Space Missions
Compliant robots are increasingly becoming integral to space exploration due to their adaptability, flexibility, and lightweight design. This article reviews categories such as soft, reconfigurable, and hyper‐redundant robots and their evolving role in enhancing space missions.
Hamed Rahimi Nohooji, Holger Voos
wiley +1 more source