Results 131 to 140 of about 320,184 (194)

Recent advances in antibody optimization based on deep learning methods. [PDF]

J Zhejiang Univ Sci B
Jin R, Zhou R, Zhang D.
europepmc   +1 more source

Enhancing Ultrasound Power Transfer: Efficiency, Acoustics, and Future Directions

Advanced Materials, EarlyView.
Implantable devices significantly enhance healthcare but are limited by battery life. Ultrasound power transfer technology offers a promising solution for sustainable operation. This review addresses gaps in current research, particularly in sound field analysis and energy efficiency optimization.
Yi Zheng, Zhuomin Zhang, Yanhu Zhang, Qiqi Pan, Xiaodong Yan, Xuemu Li, Zhengbao Yang   +6 more
wiley   +1 more source

Optoelectronic Devices for In‐Sensor Computing

Advanced Materials, EarlyView.
The raw data obtained directly from sensors in the noisy analogue domain is often unstructured, which lacks a predefined format or organization and does not conform to a specific data model. Optoelectronic devices for in‐sensor visual processing can integrate perception, memory, and processing functions in the same physical units, which can compress ...
Qinqi Ren, Chaoyi Zhu, Sijie Ma, Zhaoqing Wang, Jianmin Yan, Tianqing Wan, Weicheng Yan, Yang Chai   +7 more
wiley   +1 more source

The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023. [PDF]

J Cheminform
Koçak M, Akçalı Z.
europepmc   +1 more source

Molecular Control of the Donor/Acceptor Interface Suppresses Charge Recombination Enabling High‐Efficiency Single‐Component Organic Solar Cells

Advanced Materials, EarlyView.
The outstanding double‐cable‐based single‐component material, DCPY2, exhibits a suppressed charge recombination process alongside efficient charge generation. This results in a high fill factor and short‐circuit current, yielding an efficiency to 13.85%.
Yao Li, Richard A. Pacalaj, Yongmin Luo, Keren Ai, Yulong Hai, Shijie Liang, Kezhou Fan, Aleksandr A. Sergeev, Ruijie Ma, Top Archie Dela Peña, Jolanda S. Müller, Zijing Jin, P Shakya Tuladhar, Tao Jia, Jiannong Wang, Gang Li, Kam Sing Wong, Weiwei Li, James R. Durrant, Jiaying Wu   +19 more
wiley   +1 more source

Comprehensive analysis of transcriptome and metabolome identified the key gene networks regulating fruit length in melon. [PDF]

BMC Plant Biol
Wang Q, Tang L, He Y, Xu Y, Zhang J, Kong W, Hu K, Garcia-Mas J, Pujol M, Zhao G.   +9 more
europepmc   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

MicroRNA Signatures in Endometrial Receptivity-Unlocking Their Role in Embryo Implantation and IVF Success: A Systematic Review. [PDF]

Biomedicines
Voros C, Varthaliti A, Athanasiou D, Mavrogianni D, Bananis K, Athanasiou A, Athanasiou A, Papahliou AM, Zografos CG, Kondili P, Daskalaki MA, Mazis Kourakos D, Vaitsis D, Theodora M, Antsaklis P, Loutradis D, Daskalakis G.   +16 more
europepmc   +1 more source

A Bio‐Inspired Perspective on Materials Sustainability

Advanced Materials, EarlyView.
This perspective discusses natural materials as inspiration for sustainable engineering designs and the processing of materials. First, circularity, longevity, parsimony, and activity are presented as essential material paradigms. The perspective then uses many examples of natural and technical materials to introduce principles such as oligo ...
Wolfgang Wagermaier, Khashayar Razghandi, Peter Fratzl   +2 more
wiley   +1 more source

Optimizing lipocalin sequence classification with ensemble deep learning models. [PDF]

PLoS One
Zhang Y, Yu L, Xue L, Liu F, Jing R, Luo J.   +5 more
europepmc   +1 more source