Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Au(I) Complex With an Abnormal Carbene Ligand Shows Anti‐Kasha Dual Photoluminescence Emission
Incorporation of an abnormal N‐heterocyclic carbene into a heteroleptic linear Au(I) complex induces anti‐Kasha dual emission responsive to biologically relevant phenyl sulfate. ABSTRACT We report the first photoactive linear Au(I) complex with an abnormal N‐heterocyclic carbene (aNHC) ligand, Au(aIm)(Cz).
Natesan Mannangatti Rajendran +5 more
wiley +2 more sources
Microfluidic and MEMS-Based Biosensing Platforms for Fungal Respiratory Infections in Immunocompromised Patients: Toward Rapid, Specific, and Minimally Invasive Diagnosis. [PDF]
Georgakopoulou VE, Pitiriga VC.
europepmc +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
Deep Learning Enables Identification of Antimicrobial Peptides Through Mechanochromic Fingerprints
We demonstrate a new platform for antimicrobial peptide identification by combining polydiacetylene, hyperspectral imaging, and deep learning. The trained model classifies distinct spectral fingerprints into 14 peptide classes with 96.79% accuracy, revealing previously hidden molecular information beyond conventional colorimetric sensing.
Jiali Chen +4 more
wiley +2 more sources
Dual-band graphene-assisted metamaterial absorber with machine learning integration for high-sensitivity THz biosensing. [PDF]
Gupta S, Gosi VC, Pareek P, Upender P.
europepmc +1 more source
Nanodiamonds as Bioactive Platforms to Modulate Microbial, Mammalian, and Vertebrate Systems
Nanodiamonds (NDs) are biocompatible and antibacterial nanomaterials that support mammalian cell growth while inhibiting bacterial pathogens. NDs showed strong antibacterial activity, with Escherichia coli being more sensitive than Staphylococcus aureus. At 10 mg/mL, both bacteria exhibited ~8% viability.
Aaqil Rifai +6 more
wiley +1 more source
Rationally designed DNA multivalent aptamers direct specific protein binding to drive self‐assembly into protein‐DNA frameworks (PDFs). Structurally defined protein‐aptamer interfaces organize proteins into triangles, linear and ladderlike chains, and periodic two‐dimensional arrays, enabling precise control over orientation, connectivity, and overall ...
Zhe Zhang +11 more
wiley +2 more sources
Recent Advances and Future Perspectives in Biosensors for Monitoring and Diagnostics. [PDF]
Prodanović R, Stanković D.
europepmc +1 more source
Cell-Based Immuno-Biosensors Using Microfluidics. [PDF]
Pugner B +5 more
europepmc +1 more source

