Results 151 to 160 of about 167,724,956 (286)
Surfaces of revolution in the theory of Lamé’s products [PDF]
openaire +4 more sources
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Ubiquitin family as novel protein partners for molecular glues. [PDF]
Silvian L.
europepmc +1 more source
Nanomaterials offer dual applications in allergy management. For diagnosis, nanomaterials enhance analytical sensitivity and improve detection in specific IgE and functional assays such as the basophil activation test (BAT). For allergen‐specific immunotherapy, nanomaterials enable allergen masking and controlled release, and effectively modulate the ...
Madiha Habib +8 more
wiley +1 more source
Model Context Protocol: The unexpected catalyst of a bioinformatics interoperability revolution. [PDF]
Sheffield NC.
europepmc +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
The study investigates the influence of three different drilling kinematic systems on the surface roughness (Rt) of holes machined in quenched-and-tempered 40HM (AISI 4140) steel.
Mateusz Bronis, Mehmet Şükrü Adin
doaj
Advances in Porous Materials and Their Applications. [PDF]
Cohen SM.
europepmc +1 more source
Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun +9 more
wiley +1 more source
On-Limb Orbiting Robot: Proprioceptive Diameter Estimation and Orthogonal Grip-Orbit Control. [PDF]
Tobar-Subía-Contento LM +3 more
europepmc +1 more source

