Results 191 to 200 of about 863,584 (308)
Retrieval-Guided Transfer Learning for Low-Resource Ebola Drug-Target Affinity Prediction. [PDF]
Alotaibi M, Taweraqi NA.
europepmc +1 more source
A Simple Descriptor for Solid‐State Ionic Conductors Across Chemistries
Researchers develop a simple and transferable descriptor, distance contraction, for solid‐state ion migration across Li‐, Na‐, K‐, and Mg‐ion conductors and diverse anion chemistries. By capturing the maximum local contraction experienced by the migrating ion, the descriptor enables rapid materials screening and unifies diverse ion‐transport mechanisms.
Ramanuja Srinivasan Saravanan +4 more
wiley +1 more source
Biomass DNA: An Emerging Building Block for Advanced Materials
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley +1 more source
Balloon-assisted radial release for retrieval of a surgically suture-fixed inferior vena cava filter: a case report. [PDF]
Gao P, Liu H, Wei J, Zhu X, Zhang X.
europepmc +1 more source
Monolithically 3D‐Printed Spectral‐Spatial Meta‐Authenticators
A single height map printed in a low‐index resin by two‐photon lithography encodes multiple visible wavelengths in one metasurface without any polarization optics. A fabrication‐aware optimization folds the printable height levels into the design, so the device is printed as optimized.
Cherry Park +3 more
wiley +1 more source
Volume changes of a solid‐state battery cell are separated into the individual contributions of anode and cathode. Simultaneously determining the “reaction volumes” of both electrodes requires a reference electrode with a pressure‐independent potential.
Mervyn Soans +5 more
wiley +1 more source
Comparing AI agents and machine learning for predicting mechanical and rheological properties of dense food structures. [PDF]
Ma Y.
europepmc +1 more source

