Results 51 to 60 of about 3,788,176 (279)

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

open access: yesAdvanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas   +6 more
wiley   +1 more source

Polyhedral approximation in mixed-integer convex optimization [PDF]

open access: yesMathematical Programming, 2017
Generalizing both mixed-integer linear optimization and convex optimization, mixed-integer convex optimization possesses broad modeling power but has seen relatively few advances in general-purpose solvers in recent years. In this paper, we intend to provide a broadly accessible introduction to our recent work in developing algorithms and software for ...
Miles Lubin   +3 more
openaire   +5 more sources

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

open access: yesAdvanced 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

Indonesian Maritime Logistics Network Optimization Using Mixed Integer Programming

open access: yesMATEC Web of Conferences, 2017
Some causes of the high logistic costs and significant disparity in Indonesia’s commodity price is the imbalanced distribution of the flow of goods between west and east regional of Indonesia and the slow development infrastructure.
Arry Rahmawan Komarudin   +1 more
doaj   +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

Outer Approximation for Mixed-Integer Nonlinear Robust Optimization

open access: yesJournal of Optimization Theory and Applications, 2022
AbstractCurrently, few approaches are available for mixed-integer nonlinear robust optimization. Those that do exist typically either require restrictive assumptions on the problem structure or do not guarantee robust protection. In this work, we develop an algorithm for convex mixed-integer nonlinear robust optimization problems where a key feature is
Martina Kuchlbauer   +2 more
openaire   +2 more sources

High‐Performance Transparent Solid Polymer Electrolyte Based on Copolymer of Deep Eutectic Electrolyte and Methyl Methacrylate for Electrochemical Devices

open access: yesAdvanced Science, EarlyView.
A copolymerization strategy using a polymerizable deep eutectic electrolyte with MMA forms efficient ion‐transport pathways while maintaining excellent transparency. The solid polymer electrolyte simultaneously achieves 17.8 MPa mechanical strength and 1.43 mS cm−1 ionic conductivity, enhancing long‐term cycling stability in Li|LFP batteries and ...
Tingting Chen   +6 more
wiley   +1 more source

A multi-objective multi-period mathematical programming model for integrated project portfolio optimization and contractor selection

open access: yesMethodsX
This paper addresses the challenges of project portfolio optimization and contractor selection through two proposed scenarios. In the first scenario, two separate mixed-integer mathematical programming models are presented: one for project portfolio ...
Mostafa Zahedirad   +3 more
doaj   +1 more source

Learning to optimize: A tutorial for continuous and mixed-integer optimization

open access: yesScience China Mathematics
Learning to Optimize (L2O) stands at the intersection of traditional optimization and machine learning, utilizing the capabilities of machine learning to enhance conventional optimization techniques. As real-world optimization problems frequently share common structures, L2O provides a tool to exploit these structures for better or faster solutions ...
Xiaohan Chen 0001   +2 more
openaire   +2 more sources

Practical Mixed-Integer Optimization for Geometry Processing [PDF]

open access: yes, 2012
Solving mixed-integer problems, i.e., optimization problems where some of the unknowns are continuous while others are discrete, is NP-hard. Unfortunately, real-world problems like e.g., quadrangular remeshing usually have a large number of unknowns such that exact methods become unfeasible.
David Bommes   +2 more
openaire   +1 more source

Home - About - Disclaimer - Privacy