Results 141 to 150 of about 60,295 (249)

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, Volume 36, Issue 21, 12 March 2026.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

Multifunctional Programmable Transmissive Metasurface with Phase and Amplitude Manipulation Capability

Advanced Science, Volume 13, Issue 13, 3 March 2026.
This work provides a multifunctional programmable transmissive metasurface with phase and amplitude manipulation capability in the sub‐6G band. By applying different coding strategies, the proposed metasurface can realize vortex beam generation, holographic imaging under phase coding mode, and multi‐beam forming in phase‐amplitude joint coding mode ...
Hao Tian Shi, Rui Yuan Wu, Shi He, Xue Yun Guo, Xiao Qing Chen, Yi Ning Zheng, Bing Bing Zhu, Lei Zhang, Tie Jun Cui   +8 more
wiley   +1 more source

Non‐Volatile Phase Modulation with Ultralow Energy Consumption Enabled by 2D Ferroelectric/TMD Heterostructures

Advanced Science, Volume 13, Issue 13, 3 March 2026.
We demonstrate a hybrid WS2/CuInP2S6/graphene heterostructure integrated on a silicon nitride microring resonator for non‐volatile optical phase modulation with ultra‐low energy consumption and low insertion loss. While CIPS alone does not provide efficient optical index modulation, the engineered proposed device structure converts ferroelctric domain ...
Lalit Singh, Shi Guo, Yuhui Yang, Sholehin Juperi, Rui Yu, Xiangxin Gong, Jeremy Leong, Sung‐Gyu Lee, Qingyun Wu, Lay Kee Ang, Sang Hoon Chae   +10 more
wiley   +1 more source

Intelligent Battery Systems: System‐Level Integration of Data‐Driven Learning, Optimisation and Predictive Management

Battery Energy, Volume 5, Issue 2, March 2026.
This perspective frames artificial intelligence as an emergent system capability in battery management, integrating sensing, machine learning, optimisation and predictive control. It highlights how physics‐informed, deployment‐ready intelligence can enhance performance, lifecycle prediction and operational reliability across modern energy storage ...
Divine Senanu Ametefe, Nur Sabahiah Abdul Sukor, Dah John, George Dzorgbenya Ametefe, Abdulmalik Adozuka Aliu, Macaulay M. Owen, Salaudeen Taofeek Olaidey   +6 more
wiley   +1 more source

Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks. [PDF]

Adv Sci (Weinh)
Huang C, Shao J, Peng B, Guo Q, Li P, Sun J, Wang Y.   +6 more
europepmc   +1 more source

Autistic Children's Emotional Behavior Warning System Based on Smart Wearable Devices

Engineering Reports, Volume 8, Issue 3, March 2026.
This study presents a personalized, real‐time early warning system for emotional behavior in children with autism spectrum disorder (ASD), leveraging smart wearable devices. The framework is structured into five core modules. Initially, Synchronous Acquisition of Multimodal Signals uses an Empatica E4 wristband and IMU module to collect physiological ...
Mingcui Shen
wiley   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, Volume 14, Issue 3, Page 1663-1682, March 2026.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

A combined method of optimized learning vector quantization and neuro-fuzzy techniques for predicting unified Parkinson's disease rating scale using vocal features. [PDF]

MethodsX
Zogaan WA, Nilashi M, Ahmadi H, Abumalloh RA, Alrizq M, Abosaq H, Alghamdi A.   +6 more
europepmc   +1 more source

Systems analysis of leaf anatomy and transcriptome using unsupervised machine learning provides insight on photosynthesis development and evolution in non‐model grasses

Plant Direct, Volume 10, Issue 3, March 2026.
Abstract The C4 photosynthesis includes intriguing leaf anatomies. The current model supports the placement of C3‐C4 intermediates as a middle point in the evolutionary trajectory from C3 to C4 photosynthesis. The known determinants involved in the differentiation of divergent photosynthetic leaves arose from the comparative analysis between both ends,
Santiago Prochetto, Georgina Stegmayer, Anthony J. Studer, Renata Reinheimer   +3 more
wiley   +1 more source

Large language models for bioinformatics

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications.
Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu   +54 more
wiley   +1 more source