Results 101 to 110 of about 136,680 (281)

Heuristic Search of Heuristics

open access: yes, 2023
Angelo Pirrone   +4 more
openaire   +4 more sources

Advancing the Design of High‐Efficiency Printable Hole‐Conductor‐Free Mesoscopic Perovskite Solar Cells Through Machine Learning

open access: yesAdvanced Science, EarlyView.
Based on the largest printable mesoscopic perovskite solar cells database we established, stacking model achieved precise PCE prediction (R2 = 0.73, MAE = 2.18%). Multiple experiments verified the accuracy of the model, which guided the fabrication of high‐PCE devices with an efficiency of 19.36%.
Hao Meng   +9 more
wiley   +1 more source

Autonomous High‐Throughput Characterization of Liquid‐Liquid Phase Behavior

open access: yesAdvanced Science, EarlyView.
This study introduces an automated dual modality platform, combining asymmetric capacitance deviation and multiangle turbidimetry, for high‐throughput characterization of liquid‐liquid phase behavior across chemically diverse fluid systems. The platform enables miscibility classification, resolution of phase separation kinetics and emulsion stability ...
Tarek Eid   +3 more
wiley   +1 more source

Evolving usability heuristics for visualising Augmented Reality/Mixed Reality applications using cognitive model of information processing and fuzzy analytical hierarchy process

open access: yesCognitive Computation and Systems
The pace of technological advancement is accelerating, and one of the latest developments is the emergence of Augmented Reality (AR) and Mixed Reality (MR) glasses as an extension of smartphones.
T. V. Sumithra   +3 more
doaj   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

Heuristics for the Order-Picking Problem With Sequence-Dependent Constraints and a One-Directional Conveyor

open access: yesIEEE Access
Optimizing the logistic order-picking process in the distribution center depends on two closely related decisions: how to schedule the processing of orders by a limited number of employees and how to sequence the containers on the conveyor to be ...
Kateryna Czerniachowska, Marcin Hernes
doaj   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

open access: yesAdvanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li   +10 more
wiley   +1 more source

How Much Is Too Much? Facing Practical Limitations in Hyper-Heuristic Design for Packing Problems

open access: yesAlgorithms
Hyper-heuristics, or simply heuristics to choose heuristics, represent a powerful approach to tackling complex optimization problems. These methods decide which heuristic to apply throughout the solving process, aiming to improve the solving process ...
José Carlos Ortiz-Bayliss   +2 more
doaj   +1 more source

Subversion of Atypical Mucin Traps by a Spore‐Coat Effector Blocks Cellular Immunity in Drosophila

open access: yesAdvanced Science, EarlyView.
While the entomopathogenic fungus Metarhizium robertsii can evade insect humoral immunity, its subversion of cellular defenses is still elusive. We identify Eac1 as a spore‐coat protein essential for infecting drosophilids by targeting atypical mucins (Sgf1 and Sgf2), which can entrap spores in a gel matrix and thereby facilitate hemocyte encapsulation.
Shiqin Li   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy