Results 191 to 200 of about 30,659 (303)
Carbon Quantum Dots Meet Perovskite Solar Cells: A Review of Multifunctional Synergies
This review highlights the multifunctional role of carbon dots in perovskite solar cells. Their applications as additives and interfacial modifiers are discussed in terms of crystallization control, defect passivation, energy‐level alignment, and environmental stability.
Yagmur Su Sayin +3 more
wiley +1 more source
Precipitation-aware sensor ecosystem modelling for performance-driven autonomous vehicle navigation. [PDF]
Kalra S, Beniwal R, Beniwal NS, Singh M.
europepmc +1 more source
Development of ultra wideband radio system for short-range radar applications
identifier:oai:t2r2.star.titech.ac.jp ...
openaire
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
A Radar-Based Contactless System for Joint Phonocardiogram Reconstruction and Cardiac State Segmentation Using a Self-Attention 1D U-Net. [PDF]
Montanari G +5 more
europepmc +1 more source
Tetrazine Ligation in Living Systems: Beyond Fast Kinetics to Effective Bioorthogonality
Rapid reaction kinetics (k2) alone do not ensure successful tetrazine ligation in living systems. This review introduces ‘effective orthogonality’—focusing on chemical survival, availability, and encounter—as a practical framework. We highlight how bottlenecks shift from cellular sinks to in vivo delivery limits, offering design strategies for reliable
Junhyeong Yim +3 more
wiley +1 more source
Gait Classification Based on Micro-Doppler Effect. [PDF]
Chen Y +5 more
europepmc +1 more source
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan +2 more
wiley +1 more source
CBAM-Enhanced CNN-LSTM with Improved DBSCAN for High-Precision Radar-Based Gesture Recognition. [PDF]
Yi S, Zhao Z, Wu T.
europepmc +1 more source
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh +12 more
wiley +1 more source

