Results 61 to 70 of about 26,851 (306)

Buried Unstrained Germanium Channels: A Lattice‐Matched Platform for Quantum Technology

open access: yesAdvanced Science, EarlyView.
ABSTRACT Strained germanium (ε$\varepsilon$‐Ge) and strained silicon (ε$\varepsilon$‐Si) buried quantum wells have enabled advanced spin‐qubit quantum processors. However, in the absence of suitable lattice‐matched substrates, ε$\varepsilon$‐Ge and ε$\varepsilon$‐Si are deposited on defective, metamorphic SiGe buffers, which may impact device ...
Davide Costa   +10 more
wiley   +1 more source

Optimizing Supply Chain Inventory: A Mixed Integer Linear Programming Approach

open access: yesSystems
: Inventory supply chain planning involves determining the quantity of products to be transported among entities within a specified planning horizon. Often, inventory levels are reviewed at set intervals: (1) Background: In this paper, periodic review (s,
Joaquim Jorge Vicente
doaj   +1 more source

Benchmarks for Current Linear and Mixed Integer Optimization Solvers

open access: yesActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2015
Linear programming (LP) and mixed integer linear programming (MILP) problems belong among very important class of problems that find their applications in various managerial consequences.
Josef Jablonský
doaj   +1 more source

Outer Approximation Method for the Unit Commitment Problem with Wind Curtailment and Pollutant Emission

open access: yesMathematics, 2021
This paper considers the fast and effective solving method for the unit commitment (UC) problem with wind curtailment and pollutant emission in power systems.
Xiali Pang   +3 more
doaj   +1 more source

Application-oriented mixed integer non-linear programming [PDF]

open access: yes4OR, 2010
In the most recent years there is a renovate interest for Mixed Integer Non-Linear Programming (MINLP) problems. This can be explained for different reasons: (i) the performance of solvers handling non-linear constraints was largely improved; (ii) the awareness that most of the applications from the real-world can be modeled as an MINLP problem; (iii ...
openaire   +4 more sources

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

open access: yesAdvanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu   +7 more
wiley   +1 more source

Multi-objective optimization for electric water heater using mixed integer linear programming

open access: yesJournal of Modern Power Systems and Clean Energy, 2019
Due to the capacity of thermal storage, electric water heater (EWH) is one of the best candidates for demand response programs. However, few attentions are given to the modeling and optimization of EWHs with thermostatically-controlled automatic water ...
Mei Wu   +3 more
doaj   +1 more source

A Heuristic for a Mixed Integer Program using the Characteristic Equation Approach [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2017
While most linear programming (LP) problems can be solved in polynomial time, pure and mixed integer problems are NP-hard and there are no known polynomial time algorithms to solve these problems.
Philimon Nyamugure   +3 more
doaj   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

open access: yesAdvanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu   +5 more
wiley   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced 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

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