Results 81 to 90 of about 76,793 (306)

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
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, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Continuous Drug Infusion for Diabetes Therapy: A Closed-Loop Control System Design

EURASIP Journal on Wireless Communications and Networking, 2008
While a typical way for diabetes therapy is discrete insulin infusion based on long-time interval measurement, in this paper, we design a closed-loop control system for continuous drug infusion to improve the traditional discrete methods and make ...
Xiao Yang, Su Xu(Kevin), Chen Jiming, Cao Kejie, Sun Youxian   +4 more
doaj   +2 more sources

Integrated modelling and simulation method of hybrid systems based on X language

IET Collaborative Intelligent Manufacturing
Model‐based systems engineering is now leading the way in supporting the design of complex products or systems. The integration of modelling and simulation of continuous‐discrete hybrid systems is the key of model‐based systems engineering.
Kunyu Xie, Lin Zhang, Xiaohan Wang, Kunyu Wang, Yingjie Li   +4 more
doaj   +1 more source

Discrete Approximations to Continuous Univariate Distributions—an Alternative to Simulation

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1999
Summary A method to replace a continuous univariate distribution with a discrete distribution that takes MN different values is analysed. Both distributions share the same rth moments for r=0, . . ., 2N−1 and their corresonding distribution functions coincide at least at M+1 points.
openaire   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
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, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Development of frameworks for steel manufacturing planning capability improvement using discrete event simulation [PDF]

, 2013
Customers of a steel manufacturing company now order a large number of low volume orders instead of a small number of high volume orders as they would have done just a few decades ago.
Borisoglebsky, Dmitry
core  

Nanoengineered Binetworks in Multifunctional Anionic Block Polymer Mesoblends for Improved Mechanical Properties

Advanced Functional Materials, EarlyView.
Mesoblends consist of a nanostructured polymer into which a second polymer is imbibed with a selective solvent. In this work, a solvent‐templatable pentablock terpolymer possessing a sulfonated midblock is modified with a hydrophilic polymer that is photocrosslinked in situ, yielding a hierarchical binetwork.
Kacie M. Wells, Ivan Kuzmenko, Reza A. Ghiladi, Richard J. Spontak   +3 more
wiley   +1 more source

Breaking the Discretization Barrier of Continuous Physics Simulation Learning

CoRR
The modeling of complicated time-evolving physical dynamics from partial observations is a long-standing challenge. Particularly, observations can be sparsely distributed in a seemingly random or unstructured manner, making it difficult to capture highly nonlinear features in a variety of scientific and engineering problems.
Fan Xu 0009, Hao Wu 0094, Nan Wang 0015, Lilan Peng, Kun Wang 0056, Wei Gong 0001, Xibin Zhao   +6 more
openaire   +2 more sources

Tailoring Li‐ion Storage and Transport in Two‐Dimensional Conjugated Metal‐Organic Frameworks via Precise Nitrogen Incorporation

Advanced Functional Materials, EarlyView.
Two nitrogen‐doped 2D conjugated metal‐organic frameworks (2D c‐MOFs, namely Cu‐Nx‐OHBA, x = 2 or 4) are synthesized, featuring precise nitrogen incorporation via rational ligand design. The Cu‐Nx‐OHBA 2D c‐MOFs are largely tailorable by varying skeletal nitrogen density, with respect to electrical conductivity, Li‐storage capacitance, and Li‐transport
Xiangyu Li, Shaoze Shi, Fucai Cui, Rashid Iqbal, Pengyu Wang, Tianrui Wu, Jingcheng Hao, Renhao Dong   +7 more
wiley   +1 more source

Chiral Phase Change Nanomaterials

Advanced Functional Materials, EarlyView.
This work demonstrates reversible, non‐volatile phase transitions in chiral Ge2${\rm Ge}_2$Sb2${\rm Sb}_2$Te5${\rm Te}_5$ (GST) nanohelices for high‐speed optical modulation of chirality and dynamic control of the state of polarization (SOP). The chiral nanostructures are fabricated using a highly directional, wafer‐scale physical vapor deposition ...
Joshua A. Burrow, Md Shah Alam, Riad Yahiaoui, Evan M. Smith, Ryan Laing, Jules Gardener, Thomas A. Searles, Piyush J. Shah, Shivashankar Vangala, Joshua R. Hendrickson, Andrew M. Sarangan, Imad Agha   +11 more
wiley   +1 more source