Results 81 to 90 of about 921,622 (228)

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

Advanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak, Changgyun Moon, Hyun‐Bin Yu, Sunkook Kim, Dong‐Hwan Kim   +4 more
wiley   +1 more source

Data‐Driven Cation Engineering Guides Electrolyte Design for Sustainable Aqueous Zinc Battery Chemistries

Advanced Materials, EarlyView.
To address the persistent challenges of vanadium dissolution and capacity fading in zinc‐ion batteries, we introduce a cation‐engineered electrolyte strategy underpinned by a data‐driven framework. This approach efficiently and reliably predicts a Na+‐Mg2+‐Zn2+ tri‐cation electrolyte with well‐balanced and sustainable advantages, enabling Zn/VOx ...
Xuesong Xie, Yinfei Lyu, Huorong Ren, Witold Pedrycz, Yifan Li, Yang Yang, Xuehai Tan, Minggang Xie, Yi Guan, Yuxuan Xue, Ning Chen, Zhi Li   +11 more
wiley   +1 more source

Forecasting under-five stunting in Ethiopia using classical and machine learning time series models. [PDF]

PLoS One
Gessese RT, Kelkay JM, Arage FG, Tsegaw TK, Tadese ZB, Alemayehu MA, Taye EA, Alemu EA.   +7 more
europepmc   +1 more source

Data‐Driven Discovery of Quaternary Ammonium Interlayers for Efficient and Thermally Stable Perovskite Solar Cells

Advanced Materials, EarlyView.
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim, Yang Jeong Park, Chaehoon Jeon, Nahye Shin, Jaewang Park, Seungun Lee, Jino Im, Sungroh Yoon, Sang Il Seok   +8 more
wiley   +1 more source

Extending GroupStruct2: a Bayesian and machine-learning framework for testing taxonomic hypotheses using morphometric data. [PDF]

Zookeys
Chan KO, Grismer LL.
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Advanced machine learning approaches for predicting Neglected Tropical Disease co-endemicity in Kenya: A focus on soil-transmitted helminths, schistosomiasis, and lymphatic filariasis. [PDF]

PLoS Negl Trop Dis
Nyerere N, Mulwa DF.
europepmc   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Orientation Engineering of MXene Flakes

Advanced Materials, EarlyView.
Orientation engineering of MXene flakes refers to the transformation of disordered MXene flakes into ordered architectures with optimized multiphysical transport properties. Focusing on this topic, this review outlines key principles, characterization, fabrication strategies, and advanced applications of oriented MXene structures.
Yizhou Wang, Shuo Li, Tianchao Guo, Dekang Zhu, Ning Chu, Noor Albar, Dana Alsulaiman, Husam N. Alshareef   +7 more
wiley   +1 more source

An interpretable deep learning framework for predictive modeling of postoperative infections in ICU patients. [PDF]

PLoS One
Wu X, Luria I, Xiao M, Tighe P, Zou F, Zou B.   +5 more
europepmc   +1 more source