Results 131 to 140 of about 3,061,238 (284)
Application of mixed integer programming to a large scale logistics problem [PDF]
Integer Programming;Logistics ...
Westerhof, A.J. +2 more
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FATCOP 2.0: Advanced Features in an Opportunistic Mixed Integer Programming Solver [PDF]
, 2000 We describe FATCOP 2.0, a new parallel mixed integer program solver that works in an opportunistic computing environment provided by the Condor resource management system.
Linderoth, Jeff +2 more
core
Advanced Science, EarlyView.An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang +6 more
wiley +1 more source
Advanced Science, EarlyView.A scalable synthesis of carbon‐supported ultrasmall CeO2 nanoparticles with precisely tunable Ce electron density is reported. Electron‐lean Ce sites activate H2O2 exclusively via a nonradical pathway, enabling efficient HOBr and 1O2 production analogous to bromoperoxidase for contaminant and antibiotic resistance removal.
Bo Yuan +10 more
wiley +1 more source
Journal of Mathematical Extension, 2011 In this paper, homotopy analysis method is directly extended to investigate nth order semi-differential equations and to derive their numerical solutions which is introduced by replacing some integer-order space derivatives by fractional derivatives ...
H. Hosseini Fadravi∗ +2 more
doaj
Massively Multiplexed Photonic Chip With Cross‐Channel Fusion For Harmonized Biosensing
Advanced Science, EarlyView.We introduce a transformative sensing platform integrating photonic multiplexing with over 10 000 sensors and a deep‐learning framework that combines domain adaptation and cross‐channel fusion for harmonized operation across heterogeneous chips. The platform achieves 99.3% identification accuracy and relative prediction errors of 10−4$^{-4}$ for ...
Ivan Saetchnikov +3 more
wiley +1 more source
LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides
Advanced Science, EarlyView.An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu +9 more
wiley +1 more source
Advanced Science, EarlyView.Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues +10 more
wiley +1 more source
Skyrmion Bubbles by Design in a Centrosymmetric Kagome Magnet
Advanced Science, EarlyView.Chemical tuning of magnetocrystalline anisotropy in the centrosymmetric kagome magnet TmMn6Sn6 is shown to drive a spin reorientation transition via an intermediate magnetic fan state and to stabilize an emergent skyrmion bubble lattice. Four‐dimensional cryogenic Lorentz scanning transmission electron microscopy confirms the nanoscale texture ...
Mohamed El Gazzah +6 more
wiley +1 more source
Efficient Estimation of Autoregression Parameters and Innovation Distributions forSemiparametric Integer-Valued AR(p) Models (Revision of DP 2007-23) [PDF]
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integer-valued phenomena that evolve over time. The distribution of an INAR(p) process is essentially described by two parameters: a vector of autoregression ...
Werker, B.J.M. +2 more
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