Results 251 to 260 of about 606,530 (324)

Non‐Equilibrium Synthesis Methods to Create Metastable and High‐Entropy Nanomaterials

Advanced Science, EarlyView.
ABSTRACT Stabilizing multiple elements within a single phase enables the creation of advanced materials with exceptional properties arising from their complex composition. However, under equilibrium conditions, the Hume–Rothery rules impose strict limitations on solid‐state miscibility, restricting combinations of elements with mismatched crystal ...
Shuo Liu, Chaochao Dun, Jeffrey J. Urban, Mark T. Swihart   +3 more
wiley   +1 more source

Hybrid prediction method for solar photovoltaic power generation using normal cloud parrot optimization algorithm integrated with extreme learning machine. [PDF]

Sci Rep
Liu H, Cai C, Li P, Tang C, Zhao M, Zheng X, Li Y, Zhao Y, Liu C.   +8 more
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Ensemble Extreme Learning Machine Method for Hemoglobin Estimation Based on PhotoPlethysmoGraphic Signals. [PDF]

Sensors (Basel)
Peng F, Zhang N, Chen C, Wu F, Wang W.
europepmc   +1 more source

Beyond Cocrystals: Hierarchical Functional Assemblies via Noncovalent Synthesis

Advanced Science, EarlyView.
Non‐covalent interactions (NCIs) drive the formation of organic cocrystals with diverse structures and tunable optoelectronic properties. This review explores the essential factors governing these properties, highlighting how the sequential nucleation of cocrystals leads to the self‐assembly of organic hierarchical structures (OHSs).
Ya‐Nan Zhu, Jin Feng, Ying‐Xin Ma, Hong‐Tao Lin, Li‐Wei Xie, Qi‐Liang Peng, Xue‐Dong Wang   +6 more
wiley   +1 more source

Empowering an Acute Kidney Injury 3D Graphene-Based Sensor Using Extreme Learning Machine. [PDF]

ACS Omega
Sittihakote N, Danvirutai P, Anutrakulchai S, Tuantranont A, Srichan C.   +4 more
europepmc   +1 more source

Data‐Driven Design and Fabrication of Heat‐Resistant, Ultrastrong, Lightweight Aluminum‐Based Entropy Alloy by Additive Manufacturing

Advanced Science, EarlyView.
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang, Chao Ding, Danyang Zhou, Chenjin Xu, Swee Leong Sing, Jianzhong Jiang, Huibin Wu   +6 more
wiley   +1 more source

Ensemble and Pre-Training Approach for Echo State Network and Extreme Learning Machine Models. [PDF]

Entropy (Basel)
Tang L, Wang J, Wang M, Zhao C.
europepmc   +1 more source

How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?

Advanced Science, EarlyView.
This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen, Xiaoni Gao, Shuai Lu, Yi Zhang, Xing Zheng, Matthaios Santamouris   +5 more
wiley   +1 more source

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