Ice Lithography: Recent Progress Opens a New Frontier of Opportunities
Advanced Functional Materials, EarlyView.This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang +9 more
wiley +1 more source
Set Packing Optimization by Evolutionary Algorithms with Theoretical Guarantees. [PDF]
Biomimetics (Basel)Jin Y +5 more
europepmc +1 more source
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. [PDF]
Sensors (Basel), 2021 Aquino-Brítez D +6 more
europepmc +1 more source
Drift analysis and average time complexity of evolutionary algorithms
, 2001 Jun He, Xin Yao
openalex +1 more source
An evolutionary algorithm to discover numeric association rules [PDF]
, 2002 Jacinto Mata Vázquez +2 more
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Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
Advanced Functional Materials, EarlyView.To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Optimization of breeding program design through stochastic simulation with evolutionary algorithms. [PDF]
G3 (Bethesda)Hassanpour A +4 more
europepmc +1 more source
Intervals in evolutionary algorithms for global optimization
, 1995 Rajkumar Bhimgonda Patil
openalex +1 more source
Representations for Genetic and Evolutionary Algorithms [PDF]
, 2002 Franz Rothlauf
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Programmable Entanglement of Granular Mechanical Metamaterials
Advanced Functional Materials, EarlyView.This paper introduces entangled granular metamaterials—clusters of complex grains whose interlocking drives emergent, tunable properties. Here, we identify geometric features that enable entanglement and quantify them via disentanglement dynamics. We demonstrate robotic handling where magnetically controlled grains achieve robust collective picking and
Ashkan Rezanejad +4 more
wiley +1 more source