Results 151 to 160 of about 190,584 (312)
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Fuzzy Evolutionary Approaches for Bus and Rail Driver Scheduling [PDF]
Bus and train driver scheduling is a process of partitioning blocks of work, each of which is serviced by one vehicle, into a set of legal driver shifts.
Li, Jingpeng
core
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon +4 more
wiley +1 more source
Exploring fruit fly evolutionary algorithm in a university examination timetabling environment [PDF]
In this paper, we explore a fruit fly evolutionary algorithm in solving a complex university examination timetabling problem where examinations need to be assigned to limited number of times lots and rooms, subject to a set of student and lecturer ...
Ku-Mahamud, Ku Ruhana +4 more
core
A new approach to handle constrained function optimization problems by using evolutionary algorithms is presented.The value adopting problem of hybrid discrete variable in optimization design is dealing with reasonably by the method.On the basis of Guo ...
何哲明
doaj
Diagnostic analysis via the heterojunction validation funnel. The funnel illustrates the hierarchical stratification of 30 reported Type‐II systems based on the three‐phase, seven‐step diagnostic framework. Complete validation through all phases is achieved by only 3.3% of systems, while 96.7% lack full mechanistic validation, revealing a pervasive ...
Ki‐Hyun Kim
wiley +1 more source
Shaping Matter with Acoustic Waves: From Particles to Functional Structures
Acoustic‐directed assembly is reviewed as a materials‐oriented strategy for organizing particles, polymers, metals, and biological systems into functional structures. The review distinguishes reversible manipulation from permanent structure formation through medium fixation, particle fixation, and in situ material generation, highlighting routes toward
Avraham Kenigsberg +5 more
wiley +1 more source
Co-evolutionary Gravitational Krill Herd Algorithm
In order to overcome the drawbacks of basic krill herd algorithms, such as low convergence rate and poor convergence ability, a novel co-evolutionary gravitational krill herd algorithm was proposed in consider of cooperative evolution and gravitational ...
Zhen LIU, Huajie LU, Jiancun REN
doaj

