Results 111 to 120 of about 13,613 (169)

Laser‐Microscribed Glass Enables Surface‐Microfluidics‐Facilitated, Affordable, Rapid Cancer Diagnosis

Advanced Functional Materials, EarlyView.
A transparent, laser‐microscribed glass platform enables cancer diagnosis within 1 h—much faster than histology, which takes days, and free from the chemical or contrast risks of MRI or CT scans. The antibody‐functionalized rough glass surface captures viable cancer cells directly from suspension, allowing instant optical readout and offering a rapid ...
Anish Pal, Snehasis Mishra, Arani Mukhopadhyay, Ilias Papailias, Atique U. Ahmed, Constantine M. Megaridis   +5 more
wiley   +1 more source

A multiscale topology optimization design framework with data driven surrogate model. [PDF]

Sci Rep
Zhou H, Zhou C.
europepmc   +1 more source

All‐Aqueous Pullulan Fibers Enabling Visible‐to‐Near‐Infrared Waveguiding with Mechanical and Thermal Resilience

Advanced Functional Materials, EarlyView.
Pullulan, a biomass‐derived polysaccharide, is transformed into transparent optical fibers using a solvent‐free borax hydrogel‐spinning method. The fibers outperform PMMA with ≈200 MPa tensile strength and 200 °C stability, while uniquely guiding visible‐to‐NIR light and enabling additive‐free humidity sensing.
Yuya Fukata, Aayush Kumar Jaiswal, Ari Hokkanen, Hannes Orelma, Tadahisa Iwata   +4 more
wiley   +1 more source

Orbital-resolved tuning of electronic thermal conductivity in monolayer h-B₂O via doping in the diffusive regime. [PDF]

Sci Rep
Mohammadi F, Mirabbaszadeh K, Noshad H.
europepmc   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Free-energy perturbation in the exchange-correlation space accelerated by machine learning: application to silica polymorphs. [PDF]

NPJ Comput Mater
Forslund A, Jung JH, Ikeda Y, Grabowski B.   +3 more
europepmc   +1 more source

Three‐Dimensional Hierarchical Nanowire‐Networks with Deep‐Focus Tolerance and Adhesion Robustness for Harsh‐Environment SERS Sensing

Advanced Functional Materials, EarlyView.
A 3D nanowire‐network SERS substrate with robust adhesion is developed, featuring pronounced z‐direction optical activity, ultralow detection limit (1.5 × 10−13 M), and excellent signal uniformity (RSD < 10%). Enabled by enhanced light scattering, increased optical density of states, and structural reinforcement, the substrate demonstrates stable, high‐
Jinglai Duan, Wentao Wang, Xiu Liang, Yongliang Zhang, Jie Liu, Yu Bai, Dangyuan Lei   +6 more
wiley   +1 more source

Way More than the Sum of Their Parts: From Statistical to Structural Mixtures. [PDF]

Entropy (Basel)
Crutchfield JP.
europepmc   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Computational Strategy for Analyzing Effective Properties of Random Composites-Part III: Machine Learning. [PDF]

Materials (Basel)
Mityushev V, Drygaś P, Walusiak Ł.
europepmc   +1 more source