Results 81 to 90 of about 82,122 (260)

Physics Informed Extreme Learning Machines With Residual Variation Diminishing Scheme for Nonlinear Problems With Discontinuous Surfaces

IEEE Access
This work extends Extreme Learning Machines (ELM) to obtain solutions for nonlinear higher order partial differential equations that govern the physics of different domains. The ELM operates in sync with a novel Residual Variation Diminishing Scheme (RVDS) developed as a part of this work and described here, and is able to generate solutions around ...
Kaumudi Joshi, Vukka Snigdha, Arya Kumar Bhattacharya   +2 more
openaire   +2 more sources

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

Advanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao, Yiyuan Zhang, Liqiu Wang, Alan C. H. Tsang   +3 more
wiley   +1 more source

Exact Constraint Enforcement in Physics-Informed Extreme Learning Machines using Null-Space Projection Framework

CoRR
Physics-informed extreme learning machines (PIELMs) typically impose boundary and initial conditions through penalty terms, yielding only approximate satisfaction that is sensitive to user-specified weights and can propagate errors into the interior solution.
Mishra, Rishi, Smriti, Srinivasan, Balaji, Natarajan, Sundararajan, Krishnamurthi, Ganapathy   +4 more
openaire   +2 more sources

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

Advanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko, Chiamaka Akah, Ravinder Dahiya   +2 more
wiley   +1 more source

General Fourier Feature Physics-Informed Extreme Learning Machine (GFF-PIELM) for High-Frequency PDEs

CoRR
Conventional physics-informed extreme learning machine (PIELM) often faces challenges in solving partial differential equations (PDEs) involving high-frequency and variable-frequency behaviors. To address these challenges, we propose a general Fourier feature physics-informed extreme learning machine (GFF-PIELM).
Fei Ren, Sifan Wang, Pei-Zhi Zhuang, Hai-Sui Yu, He Yang   +4 more
openaire   +2 more sources

Resolving Nanoscale Heterogeneities in Lead Halide Perovskites Through Low‐Dose Concurrent 4D‐STEM‐EDX Mapping

Advanced Materials, EarlyView.
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu, Alexandra A. Sheader, Mohsen Danaie, David G. Hopkinson, Katherine E. MacArthur, Nakita K. Noel, Christopher S. Allen   +6 more
wiley   +1 more source

Physics‐Informed Extreme Learning Machine Applied for Eigenmode Analysis of Waveguides and Transmission Lines

International Journal of RF and Microwave Computer-Aided Engineering
In this work, we propose a physics‐informed extreme learning machine (PIELM) method to identify the eigenmode field distributions of waveguides and transmission lines by solving Helmholtz partial differential equation (PDE) with initial and boundary conditions.
Li Huang, Liang Chen, Rongchuan Bai
openaire   +1 more source

Eig-PIELM: A Mesh-Free Approach for Efficient Eigen-Analysis with Physics-Informed Extreme Learning Machines

CoRR
In this work, a novel Eig-PIELM framework is proposed that extends physics-informed extreme learning machine for an efficient and accurate solution of linear eigenvalue problems. The method reformulates the governing differential equations into a compact algebraic system solvable in a single step.
Rishi Mishra, Smriti, Ganapathy Krishnamurthi, Balaji Srinivasan, Sundararajan Natarajan   +4 more
openaire   +2 more sources

Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries

Advanced Materials, EarlyView.
We comprehensively review the structure‐function relationships and regulatory mechanism of natural macromolecular polymers in stabilizing zinc anodes at the microscopic and mesoscopic scales. The interactions among polymer structures, optimization strategies, and regulatory mechanisms are discussed systematically summarizing recent related research ...
Yunuo Shi, Bo Jiang, Jingcheng Zhang, Xiaodong Shao, Peixun Xiong, Lutong Shan, Shengyang Huang, Mengfang Liang, Mengyao Chang, Fangyan Liu, Wenwu Li, Baoyu Xia, Wei Ji, Ho Seok Park   +13 more
wiley   +1 more source

Electrolyte Design for Fast‐Charging Lithium‐Based Batteries

Advanced Materials, EarlyView.
A decade of progress in fast‐charging electrolytes for lithium batteries is reviewed. Electrolyte design strategies spanning solvents, salts, additives, and advanced systems, such as localized high‐concentration electrolytes (LHCEs), are summarized. Advanced diagnostic tools for lithium plating and interphase chemistry are discussed, with perspectives ...
Chen Liu, Zehao Cui, Arumugam Manthiram
wiley   +1 more source