Results 101 to 110 of about 2,606,960 (274)
Developments in linear and integer programming [PDF]
, 2002 In this review we describe recent developments in linear and integer (linear) programming. For over 50 years Operational Research practitioners have made use of linear optimisation models to aid decision making and over this period the size of problems ...
Darby-Dowman, K, Wilson, J M
core +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Note on Integer-Valued Bilinear Time Series Models [PDF]
Summary. This note reconsiders the nonnegative integer-valued bilinear processes introduced by Doukhan, Latour, and Oraichi (2006). Using a hidden Markov argument, we extend their result of the existence of a stationary solution for the INBL(1,0,1,1 ...
Werker, B.J.M. +2 more
core
Advanced Science, EarlyView.This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita +4 more
wiley +1 more source
CAMD for Entrainer Screening of Extractive Distillation Process Based on New Thermodynamic Criteria
Chemical Engineering Transactions, 2018 This paper presents a framework for finding homogeneous entrainers E to separate non-ideal mixtures AB by extractive distillation. The framework is a systematic approach to convert a Computer Aided Molecular Design into a mixed integer non-linear program
Stefano Cignitti +5 more
doaj +1 more source
Measures of Distinctness for Random Partitions and Compositions of an Integer
Advances in Applied Mathematics, 1997 Given a random partition or composition of an integer, the authors study measures of the degree of distinctness of its parts. They develop general methods for deriving generating functions for various classes of partitions and compositions with parts lying in any specific subset of the positive integers. Probabilistic and analytic methods are then used
Hwang, H.-K, Yeh, Y.-N
openaire +2 more sources
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Advanced Science, EarlyView.Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing
Advanced Science, EarlyView.A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh +7 more
wiley +1 more source
On integer compositions using SageMath
, 2022 SageMath (or simply SAGE, by the initials of: Software for Algebra and Geometry Experimentation) is a free mathematical software that integrates, under the modern Python programming environment, all the best existing open source mathematical software in a unified interface that includes the implementation of a wide range of functionalities that allow ...
Mantilla Rozo, Jazmín Liseth +1 more
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Symmetry‐Imposed Selection Rules for Excitations of Nontrivial Plasmonic Topologies
Advanced Science, EarlyView.A unified group‐theory selection rule governs the excitation of vectorial nearfield topologies across three plasmonic spin states. Derived from first principles, it predicts spin–orbit vortex splitting and multidimensional nested vortices, confirmed by phase‐resolved in situ measurements.
Jie Yang +14 more
wiley +1 more source