Results 171 to 180 of about 144,133 (245)

Machine Learning–Assisted Bio‐Interfacial Engineering Resolves Structural–Functional Conflicts in Nanocomposites

Advanced Materials, EarlyView.
A machine learning‐guided bio‐interfacial design strategy resolves the long‐standing strength–toughness–functionality trade‐off in nanocomposites. By efficiently mapping high‐performance regions in the composition–processing space, the approach delivers hierarchically entangled, nanosheet‐pinned architectures that combine mechanical robustness ...
Hao Wang, Xianfeng Chen, Peiyao Yan, Siqi Liu, Biaobiao Yan, Junhua Kong, Siew Lang Teo, Kai Jin, Jie Zhang, Ping Koy Lam, Chaobin He   +10 more
wiley   +1 more source

Fast Reverse Design of 4D-Printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm. [PDF]

Adv Sci (Weinh)
Wang M, Liu Z, Furukawa H, Li Z, Ge Y, Xu Y, Qiu Z, Tian Y, Wang Z, Xu R, Meng L.   +10 more
europepmc   +1 more source

Arm‐Length‐Controlled CsPbBr3 Nanocrystals for Tunable Optical and Assembly Behavior

Advanced Materials, EarlyView.
In this work, the synthesis parameters that dictate the formation of armed CsPbBr3 nanocrystals are described, and routes enabling precise control over arm length are proposed. Direct links between morphology and optoelectronic behavior are established.
Irina Skvortsova, Sudipta Seth, Juliette Zito, Robin Girod, Bob Van Hout, Annick De Backer, Tom Stoops, Sergey Abakumov, Evgenii Vlasov, Tejmani Behera, Sandra Van Aert, Elke Debroye, Johan Hofkens, Sara Bals   +13 more
wiley   +1 more source

Two-stage multi-objective evolutionary algorithm for overlapping community discovery. [PDF]

PeerJ Comput Sci
Cai L, Zhou J, Wang D.
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Intelligent design of high-performance fluids for thermal management: integrating response surface methodology, weighted Tchebycheff method, and strength Pareto evolutionary algorithm II. [PDF]

Sci Rep
Ben Hamida MB, Basem A, Varshney N, Mostafa L.   +3 more
europepmc   +1 more source

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

Predicting Linear Dimensional Accuracy of Material Extrusion Parts in Dependence of Process Parameters Using Neural Networks Optimized by an Evolutionary Algorithm. [PDF]

3D Print Addit Manuf
Schmidt C, Funk J, Griesbaum R, Sehrt JT, Finsterwalder F.   +4 more
europepmc   +1 more source

2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems

Advanced Materials, EarlyView.
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley   +1 more source

A many-objective evolutionary algorithm based on three states for solving many-objective optimization problem. [PDF]

Sci Rep
Zhao J, Zhang H, Yu H, Fei H, Huang X, Yang Q.   +5 more
europepmc   +1 more source