Results 61 to 70 of about 8,367 (202)

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

Progress in Strain Engineering of 2D‐Integrated Heterostructures for Ultrasensitive Sensors

Advanced Science, EarlyView.
 . ABSTRACT Two‐dimensional (2D) integrated heterostructures have emerged as a cornerstone in the advancement of next‐generation sensor technologies. These heterostructures, which combine materials with different dimensionalities, have led to significant breakthroughs in sensing performance and device integration.
That Buu Ton, Tuan Sang Tran, Duc Khanh Tran, Van Thanh Dau, Dzung Viet Dao   +4 more
wiley   +1 more source

Coupled Vacancy and Phonon‐Scattering Engineering Drive Defect Evolution Toward Multifunctional High‐Performance Bi2Te3 Thermoelectrics

Advanced Science, EarlyView.
ZnSb reduces carrier concentration and suppresses Te volatilization, while Se substitution within QLs softens phonons and enhances anharmonicity. Swapped bilayers near twin boundaries strengthen phonon scattering and interlayer bonding. As a result, the optimal sample achieves an ultra‐high zT ∼1.51, cooling temperature difference of ∼70 K, power ...
Ruiheng Li, Minwen Yang, Huangshui Ma, Jie Zheng, Shengqiang Cui, Xiaobo Tan, Xuri Rao, Xiang An, Zongxiang Kan, Siqi Huo, Jing Shuai, Min Hong, Ran Ang   +12 more
wiley   +1 more source

Temperature‐Driven Emission Redistribution of Yb2+ in SrB4O7 Enables Highly Sensitive Optical Thermometry Supported by Multiple Linear Regression

Advanced Science, EarlyView.
A novel optical thermometer exploits the rare UV emission of Yb2+ ions in a SrB4O7 host, enabling highly sensitive, non‐contact temperature measurements from 80 to 420 K. The applied multiple linear regression (MLR) analysis results in a multiple increase in the resulting temperature sensitivity.
Fang Zhao, Teng Zheng, Przemysław Woźny, Miguel A. Hernández‐Rodríguez, Shiqing Xu, Inocencio R. Martín, Marcin Runowski   +6 more
wiley   +1 more source

Organic Thin‐Film Transistors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy, Mohan V. Jacob, Mostafa Rahimi Azghadi   +2 more
wiley   +1 more source

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi, Ji‐Youn Bae, Ga‐On Park, Seung‐Ho Yu   +3 more
wiley   +1 more source

Minimal Morphoelastic Models of Solid Tumour Spheroids: A Tutorial. [PDF]

Bull Math Biol, 2023
Walker BJ, Celora GL, Goriely A, Moulton DE, Byrne HM.   +4 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source