Results 311 to 320 of about 6,488,304 (373)
Liquid Metal Sensors for Soft Robots
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang +7 more
wiley +1 more source
Variational quantum recommendation system with embedded latent vectors. [PDF]
Debi S, Makmal A.
europepmc +1 more source
Chemical Approaches for Array Based Detection of Amyloids
Amyloids are protein aggregates with both pathological and functional roles. Their detection is challenged by structural polymorphism, isoform diversity, and dynamic aggregation behavior. This review presents chemical array‐based sensing strategies that address these complexities, emphasizing fluorescence and colorimetric methods, alongside ...
Paulo M. Simon, Yijia Xu, Amandeep Kaur
wiley +1 more source
<i>De Novo</i> Design of Protein-Binding Peptides by Quantum Computing. [PDF]
Meuser L, Patsilinakos A, Faccioli P.
europepmc +1 more source
Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu +7 more
wiley +1 more source
Fusion cryptography for secure medical data transmission using mathematical quantum computing operations. [PDF]
Aljaedi A +4 more
europepmc +1 more source
Effect of Anion Hydrophobicity on the Oxidation of Ferrocene‐Terminated Monolayers
Self‐assembled monolayers terminated with ferrocene moieties can be oxidized using an applied potential. At the oxidized layer, anions from the electrolyte can form a layer. Experiments show a relationship between the hydrophobicity of the anion species and the redox potential.
Ludwig J.V. Ahrens‐Iwers +2 more
wiley +1 more source
Pushing the boundary of quantum advantage in hard combinatorial optimization with probabilistic computers. [PDF]
Chowdhury S +14 more
europepmc +1 more source
Toward a Universal Czochralski Growth Model Leveraging Data‐Driven Techniques
This data‐driven study investigates Czochralski growth using Decision Trees, Symbolic Regression, ANN, and SHAP to assess the impact of 21 process and design parameters on crystal quality. Trained on 632 CFD simulation datasets across four crystalline materials, it demonstrates the feasibility of a universal Cz model applicable to various ...
Natasha Dropka +4 more
wiley +1 more source

