Results 211 to 220 of about 3,885,736 (246)

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Machine learning approaches for biomarker discovery using single-cell RNA sequencing. [PDF]

Front Bioinform
Dewa G, Munier CML, Ballouz S, Louie R.
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Artificial intelligence for precision malaria control: transforming surveillance, prediction, and intervention strategies. [PDF]

Front Digit Health
Abdi MS, Adan AM, Ahmed NI, Sudi LA, Abdi YH, Mohamed MD, Abdullahi YB, Bashir SG, Abdullahi Khalif I, Hassan AA.   +9 more
europepmc   +1 more source

Comparative analysis of machine learning techniques for cardiovascular disease prediction. [PDF]

PLoS One
Uddin MM, Binyamin M, Fahim MMM, Karim MR.   +3 more
europepmc   +1 more source

Machine learning-based radiomics modeling of combined subcortical nuclei from quantitative susceptibility mapping for Parkinson's disease diagnosis. [PDF]

Front Aging Neurosci
Wen F, Hu J, Yang Y, Su Y, Song X, Tian Y, Wang Y.   +6 more
europepmc   +1 more source

<i>HOXC4</i> as a machine learning-derived immune biomarker for predicting treatment and prognosis in prostate cancer patients. [PDF]

Transl Androl Urol
Zhu W, Wang J, Zhou Y, Song S, Li C, Xue Q, Zhang H.   +6 more
europepmc   +1 more source

Mid-infrared spectroscopy and supervised machine learning can determine age class of arboviral vector Culex pipiens at high age resolution

Carmichael RM, Pazmiño-Betancourth M, Parvy J, Kulkarni S, Dick JTA, Modrzynska K, Babayan S, Cuthbert RN, Ferguson HM, Baldini F, Pondeville E.   +10 more
europepmc   +1 more source