Results 161 to 170 of about 1,147,666 (317)

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Development of data driven models to accurately estimate density of fatty acid ethyl esters. [PDF]

Sci Rep
Abdelfattah W, Abosaoda MK, Doshi H, Shreenidhi HS, Parhi M, Singh D, Singh P, Kandahari AY.   +7 more
europepmc   +1 more source

Experimentally Validated Design Principles of D‐Block Transition Metal Single‐Atom Non‐Dissociative Chemisorption Solid‐State Hydrogen Storage Materials

Advanced Functional Materials, EarlyView.
A novel descriptor and a bottom‐up design principle are established to enable the rational design of hydrogen storage materials based on d‐block transition metal single‐atom COFs. By modulating H₂ adsorption through d‐orbital tuning, this approach achieves both high storage capacity and fast kinetics, while revealing a volcano‐type relationship between
Qiuyan Yue, Chao Li, Yong Gao, Zhenglong Li, Wen‐Gang Cui, Xinqiang Wang, Guoquan Na, Xiaowei Wang, Yiyang Wan, Mingchang Zhang, Yanxia Liu, Fulai Qi, Chenchen Li, Xu Xue, Jian Miao, Jing Zhang, Xiao Han, Pan Wang, Chang Guo, Xiacui Liu, Mingxia Gao, Wenping Sun, Jian Chen, Zhenhai Xia, Hongge Pan   +24 more
wiley   +1 more source

Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection. [PDF]

PLoS One
Zada I, Omran E, Jan S, Alfraihi H, Alsalamah S, Alshahrani A, Hayat S, Phi N.   +7 more
europepmc   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

A novel hybrid approach for thyroid disease detection: Integrating cuttlefish algorithm and simulated annealing for optimal feature selection. [PDF]

MethodsX
Shrivastava K, Pandey S, Dubey R, Namdev M, Tiwari V, Sharma A.   +5 more
europepmc   +1 more source

Polymer‐Incorporated Mechanically Compliant Carbon Nanotube Microelectrode Arrays for Multichannel Neural Signal Recording

Advanced Functional Materials, EarlyView.
This work presents a soft microelectrode array based on vertically aligned carbon nanotube (CNT) forests, combining high conductivity with mechanical softness. A densification process and air‐pressure‐assisted flexibilization improve structural integrity, ensuring stable insertion and reduced inflammation.
Hyeonhee Roh, Kwangjun Kim, Chaesung Kim, Minju Kim, Minwook Kim, Sangjun Sim, Jongbaeg Kim, Jong G. Ok, Maesoon Im   +8 more
wiley   +1 more source

Visual analysis of research hot topics and trends of clinical decision support system based on CiteSpace. [PDF]

Langenbecks Arch Surg
Wang S, Yu L.
europepmc   +1 more source

Additively Manufactured 3D Auxetic Metamaterials for Structurally Guided Capacitive and Resistive Tactile Sensing

Advanced Functional Materials, EarlyView.
A 3D‐architected auxetic metamaterial is used to construct capacitive and resistive tactile sensors via digital light processing‐based additive manufacturing. The inward deformation of the proposed structure under compression amplifies local strain, enhancing sensing performance.
Mingyu Kang, Hong‐Gap Choi, Keun Park, Soonjae Pyo   +3 more
wiley   +1 more source

From molecules to data: the emerging impact of chemoinformatics in chemistry. [PDF]

J Cheminform
Chetry AB, Ohto K.
europepmc   +1 more source