Experimental High‐Throughput Electrochemistry
ChemElectroChem, Volume 13, Issue 9, 5 May 2026.This review highlights experimental high‐throughput electrochemistry as a powerful approach to accelerate electrochemical research. Key technologies such as automated platforms, microelectrode arrays, and machine learning‐based optimization are discussed, with a focus on applications in electrocatalysis, battery research, and electrosynthesis ...
Jens Noack
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Optimization of Low Reynolds Number Airfoils for Martian Rotor Applications Using an Evolutionary Algorithm [PDF]
The Mars Helicopter (MH) will be flying on the NASA Mars 2020 rover mission scheduled to launch in July of 2020. Research is being performed at the Jet Propulsion Laboratory (JPL) and NASA Ames Research Center to extend the current capabilities and ...
Johnson, Wayne R. +2 more
core +1 more source
Bottom‐Up Programming of Cell States in Cancer Organoids with Defined Synthetic Adhesion Cues
Advanced Materials, Volume 38, Issue 27, 14 May 2026.A bottom‐up biomaterial platform is developed to program transcriptomic states in pancreatic cancer organoids by tuning adhesion cues within synthetic matrices. By combining a Design of Experiments framework with multiobjective optimization, matrix compositions are identified that enrich specific cellular programs like EMT.
Ali Nadernezhad +6 more
wiley +1 more source
Self-adaptive dragonfly based optimal thresholding for multilevel segmentation of digital images
Journal of King Saud University: Computer and Information Sciences, 2018 Dragonfly optimization (DFO) is a population based meta-heuristic optimization algorithm that simulates the static and dynamic swarming behaviors of dragonflies.
Rakoth Kandan Sambandam +1 more
doaj +1 more source
3D investigation and modeling of the geometric effects on porosity in packed beds
AIChE Journal, Volume 72, Issue 5, May 2026.Abstract In porous beds, physical boundaries restrict particle arrangement, leading to inhomogeneous porosity. This paper reports on the porosity profiles that are the result of geometric effects on monodisperse packed beds in cylindrical and cubic arrangements. Special focus is given to the influence of edges and corners in cubic geometries.
Bastian Oldach +3 more
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CSGM: A R Package to Conduct a Robust Cross‐Sectional Geometric Morphometric Analysis
American Journal of Biological Anthropology, Volume 190, Issue 1, May 2026.ABSTRACT Objective Evaluating the relationships between the shape and biomechanical function of bone cross‐sections can contribute novel insights towards human functional and evolutionary morphology. However, this research involves unique analytical and statistical challenges when comparing complex and multidimensional shape data to multivariate ...
Brian A. Keeling +5 more
wiley +1 more source
Artificial dragonfly algorithm in the Hopfield neural network for optimal Exact Boolean k satisfiability representation. [PDF]
PLoS One, 2023 Ali GA +5 more
europepmc +1 more source
The Comparison between Dragonflies Algorithm and Fireflies Algorithm for Court Case Administration: A Mixed Integer Linear Programming [PDF]
, 2018 Wullapa Wongsinlatam +1 more
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Helmeted hornbill cranial kinesis: Balancing mobility and stability in a high‐impact joint
The Anatomical Record, Volume 309, Issue 5, Page 1299-1312, May 2026.Abstract Prokinesis—in which a craniofacial joint allows the rostrum to move relative to the braincase—is thought to confer diverse advantages in birds, mostly for feeding. A craniofacial joint would, however, be a weak link if cranial stability is important. Paradoxically, we have identified a craniofacial joint in helmeted hornbills (Rhinoplax vigil),
Mike Schindler +8 more
wiley +1 more source
Synthesizing Multi-Layer Perceptron Network with Ant Lion, Biogeography-Based, Dragonfly Algorithm, Evolutionary Strategy, Invasive Weed, and League Champion Optimization Hybrid Algorithms in Predicting Heating Load in Residential Buildings [PDF]
, 2021 Hossein Moayedi, Amir Mosavi
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