Imaging of Biphoton States: Fundamentals and Applications
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley +1 more source
Simulated Annealing-Guided Geometric Descent-Optimized Frequency-Domain Compression-Based Acquisition Algorithm. [PDF]
Zhou F, Wang W, Xiao Y, Zhou C.
europepmc +1 more source
3D‐Printed Porous Hydroxyapatite Formed via Enzymatic Mineralization
Bone combines lightness, strength, and the ability to heal, inspiring new materials design. This work introduces a room‐temperature, enzyme‐mediated 3D printing method to create porous hydroxyapatite scaffolds. The process avoids energy‐intensive sintering, preserves bioactivity, and allows control over porosity and mineralization.
Francesca Bono +6 more
wiley +1 more source
The two dragons of cognition: recursive condensation for predictive processing. [PDF]
Li X.
europepmc +1 more source
2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit +5 more
wiley +1 more source
Transforming wearable data into personal health insights using large language model agents. [PDF]
Merrill MA +19 more
europepmc +1 more source
Shaping of Biohybrid Functional Living Materials
This work demonstrates a strategy for shaping living mycelium into functional materials by directing its natural growth. Nanoparticles armor hyphae, micron‐scale particles entangle within the network, and printed hydrogel architectures steer expansion, creating defined geometries.
Sarah Schyck +3 more
wiley +1 more source
A large-scale dataset of choice and response-time data in intertemporal choice. [PDF]
Pongratz H, Schoemann M.
europepmc +1 more source
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu +3 more
wiley +1 more source
Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning. [PDF]
Balzer LB, van der Laan MJ, Petersen ML.
europepmc +1 more source

