Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
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
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
Breaking the phase noise-mode purity trade-off in long-loop OEOs via cascaded zero-dispersion recirculating loops. [PDF]
Wang Z, Bernal S, Plant DV, Chen LR.
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Conjugated poly(imide dioxime)‐based microspheres establish a radiometal coordination‐driven conformational interlocked network with ultra‐high radiostability. This platform enables low‐temperature, multi‐radionuclide labeling for SPECT/PET/MRI imaging and radionuclide therapy. Mechanistic insights from EXAFS and DFT reveal enhanced stability, while in
Xiao Xu +10 more
wiley +1 more source
Nanosecond phase ordering in ultra-large spin Hall nano-oscillator lattices for unconventional computing. [PDF]
Behera N +7 more
europepmc +1 more source
Surface‐Spin‐Induced Magnetic Loss Enhancement in Ultralight Electromagnetic Absorbers
Fe3O4 nanoparticles with different hollow rates were synthesized to demonstrate the key role of surface moment in magnetic loss process. Using the same volume filling ratio, the 54.1% hollow Fe3O4 absorber represents about 20% enhancement in the imaginary part (μ'') than solid particles due to the coexisting magnetic resonance of inside and outside ...
Ruimin Ren +5 more
wiley +1 more source
Meniscus-Mediated Imaging of Soft Biological Membranes Using 200 kN/m Ultra-Stiff 15 MHz MEMS AFM Probes. [PDF]
Subramanian S +3 more
europepmc +1 more source

