Results 91 to 100 of about 2,680 (272)

Error reduction using machine learning on Ising worm simulation [PDF]

, 2022
Jangho Kim, Wolfgang Unger
openalex   +1 more source

Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics

Advanced Science, EarlyView.
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma, Ting‐Ting Gao, Wei Cui, Attilio Frangi, Gang Yan, Lin Zhao   +5 more
wiley   +1 more source

Endogenous Ceramide 24:1 Constrains Th17‐Driven Neutrophilic Inflammation by Antagonizing EP2 Signaling

Advanced Science, EarlyView.
Cer24:1 levels are reduced in neutrophilic asthma and inversely correlate with disease severity and airway neutrophilia. Restoring Cer24:1 suppresses pathogenic Th17 differentiation by engaging EP2 on CD4+ T cells, thereby dampening the JAK2–STAT3–RORγt axis and reducing IL‐17 production.
Huan Liu, Abudureyimujiang Aili, Zheng Kuang, Liting Cao, Zemin Li, Ying Shang, Yingying Ge, Tingting Hu, Yongchang Sun, Wuli Zhao, Rong Jin, Chun Chang   +11 more
wiley   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source

Electronic Structure Calculatins and the Ising Machine [PDF]

, 2016
Rongxin Xia, Teng Bian, Sabre Kais
openalex   +1 more source

“More” Artificial mRNAs: Beyond the Art of Nature

Advanced Science, EarlyView.
Inspired by nature yet transcending it, synthetic mRNA is being redesigned beyond the canonical architecture. This review highlights emerging forms—circular, branched, and self‐amplifying mRNAs—that expand stability, persistence, and functional control, illustrating how artificial mRNA is evolving into a new medium for programmable biological ...
Yuanzhe Cui, Minami Fukui, Hirohisa Ohno, Hirohide Saito   +3 more
wiley   +1 more source

An electromechanical Ising machine

, 2015
Solving intractable mathematical problems in simulators composed of atoms, ions, photons or electrons has recently emerged as a subject of intense interest. Here we extend this concept to phonons that are localised in spectrally pure resonances in an electromechanical system which enables their interactions to be exquisitely fashioned via electrical ...
Mahboob, I., Yamaguchi, H.
openaire   +2 more sources

Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture

Advanced Science, EarlyView.
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang, Gan Miao, Xueyu Zhang, Zhao Shu, Dawei Lu, Yujie Song, Shanfa Yu, Qian Liu, Yang Song, Rong Zhang, Xiaoting Jin, Yuxin Zheng   +11 more
wiley   +1 more source

Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis

Science and Technology of Advanced Materials
Predicting the mechanical properties of polymer materials using machine learning is essential for the design of next-generation of polymers. However, the strong relationship between the higher-order structure of polymers and their mechanical properties ...
Ryo Tamura, Kenji Nagata, Keitaro Sodeyama, Kensaku Nakamura, Toshiki Tokuhira, Satoshi Shibata, Kazuki Hammura, Hiroki Sugisawa, Masaya Kawamura, Teruki Tsurimoto, Masanobu Naito, Masahiko Demura, Takashi Nakanishi   +12 more
doaj   +1 more source

All‐in‐One Underwater Quality Evaluation Metamaterial With Mechanical Robustness, Sound Attenuation, and Diffuse Reflection

Advanced Science, EarlyView.
In this work, a bioinspired all‐in‐one underwater quality evaluation metamaterial, combining sound attenuation, diffuse reflection, and mechanical robustness, is proposed based on jumping spider locomotion and human skeletal biomechanics. Meanwhile, a CNN‑driven quality evaluation framework is established for theoretically dimension‐reduced ...
Hongze Li, Zhenyu Li, Jinshui Yang, Jianhao Wu, Yidan Chen, Linzhi Wu, Hong Hu, Penglin Gao, Yegao Qu   +8 more
wiley   +1 more source