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Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS


Operando monitoring transition dynamics of responsive polymer using optofluidic microcavities

A team of scientists developed a novel microcavity sensing technology to study the transition dynamics of poly(N-isopropylacrylamide) using optofluidic microcavities. The self-referencing method decouples multiple effects involved in physical/chemical reactions, allowing for detection of complex processes.

Novel AlN tunneling layer boost the graphene heterojunction photodetection

A novel engineered tunneling layer with enhanced impact ionization improves detection capabilities in graphene/insulator/silicon heterostructure photodetectors. The technique achieves a champion responsivity of ~1.03 AW-1 at a reverse bias of -10 V, showing great potential applications in sensing and communications.

Photonic-dispersion neural networks for inverse scattering problems

Researchers developed a high-throughput Fourier-optics-based angle-resolved imaging spectroscopy system with robust neural network-based algorithms to solve inverse scattering problems. The system achieved a strong linear correlation between the reconstructed geometric parameters and atomic force microscopy measurements.

Direct observation of chaotic resonances in optical microcavities

Researchers developed a simple and robust method to map field patterns in silicon microdisks, observing resonant modes with drastically different dynamics. They confirmed chaos-assisted tunneling with unprecedented assurance by directly interrogating the dynamics inside the microcavity.

DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning

Researchers have developed DiLFM, a dictionary-learning-based light-field microscopy that improves noise resistance and reduces artifacts. The method combines sparse signal representation and dictionary patching to produce high-quality volumetric imaging.

Correlative chemical imaging directly in neurons

Researchers use super-resolution infrared imaging combined with X-ray fluorescence nano-imaging to study amyloid toxicity on a subcellular level. They found that the distribution of trace elements in neurons is related to molecular mechanisms of Alzheimer's disease, offering new insights into preventing neuronal damage.

Nanostructure based lasers for information and communication technologies

Laser technology utilizing nanostructures like quantum dots and dashes enables high-speed data transmission and low-latency communications. Scientists highlight the importance of these devices for industry and society, particularly in applications such as coherent communication and quantum key distribution.

Noninvasive, label-free optical method visualizes deep, cellular brain disease in vivo

Scientists developed a label-free optical microscopy approach that can image deep brain cells with high resolution and minimal invasiveness. They used the 1700 nm water absorption window to visualize neuronal cell architecture across the entire depth of the mouse neocortex, revealing severe pathology in deep but not superficial cortex.

A novel method for controlling the microstructure and performance of 3D printed human implants

Researchers propose a triple-cycle heat treatment system to improve the microstructure and performance of 3D printed titanium-molybdenum alloy human implants, achieving better biocompatibility and mechanical properties matching human bones. This method enables more widespread use of 3D printed implants in the biomedical field.

PCF-based 'parallel reactors' unveils collective matter-light analogies of soliton molecules

Researchers develop parallel optical-soliton reactors to study multi-soliton dynamics, unveiling statistical rules that resemble classic chemical kinetics. The system enables on-demand synthesis and dissociation of soliton molecules, promoting a collective-level insight into soliton dynamics.

Anomalous weak values via a single photon detection

Researchers demonstrate a novel measurement paradigm dubbed Robust Weak Measurement, measuring an anomalous weak value with a single photon detection event. The team obtains an observable with eigenvalues in the range [-7,7] and reports a weak value of the pre- and postselected system on which a single-click measurement was performed.

Observing quantum coherence from photons scattered in free-space

Scientists have successfully transferred and recovered quantum coherence from photons scattered in free-space for the first time, paving the way for new applications in quantum communication, imaging, and sensing. The novel technique uses custom hardware to maintain coherence even after scattering from a diffuse surface.

Quantification of the internal OH- effects in upconversion nanocrystals

Scientists have developed a method to quantify internal OH- impurities in upconversion nanocrystals, revealing an exponential relation between luminescence intensity and OH- content. This discovery enriches our understanding of the quenching mechanism and paves the way for highly efficient lanthanide-doped materials.

Freeform imaging systems: Fermat's principle unlocks 'first time right' design

Researchers at Brussels Photonics develop a deterministic design method for freeform imaging systems using differential equations derived from Fermat's principle. The method generates 'first time right' initial designs that enable rigorous evaluation in solution space, reducing the need for trial-and-error approaches.

Single metasurface for simultaneous detection of SAM and OAM

A team of scientists has developed a single spin-decoupled metasurface that can distinguish between spatial angular moment (SAM) and orbital angular momentum (OAM) modes. The device exploits the geometric phase and dynamic phase to transform vortex beams into focusing patterns, enabling simultaneous detection of SAM and OAM.

Dynamical machine learning accurately reconstructs volume interiors with limited-angle data

Researchers at MIT have developed a dynamical machine learning approach to tackle the challenge of reconstructing object interiors from limited-angle data. The method exploits sequential information to improve reconstructions, achieving promising results in weak and strong scattering conditions.

Interlayer exciton formation, relaxation, and transport in TMDs van der Waals Heterostructures

Research on interlayer excitons in TMDs vdW heterostructures reveals ultrafast formation, long population recombination lifetimes, and intriguing spin-valley dynamics. The properties ensure good transport characteristics and pave the way for potential applications in efficient excitonic devices.

Efficient generations of complex vectorial optical fields with metasurfaces

Scientists develop a generic approach to generate arbitrary vectorial optical fields (VOFs) using metasurfaces, offering improved efficiency and control over polarization. They experimentally demonstrate the generation of VOFs in both far-field and near-field regimes with tailored wave fronts and inhomogeneous polarization distributions.

Circularly polarized luminescence from organic micro-/nano-structures

Chinese scientists summarize the latest progress of CPL-active organic micro-/nano-structures, which can reduce energy loss in displays and photonic technologies. The review discusses design principles, external stimuli regulation, and potential applications, including OLEDs, optical information recording, and sensing technologies.

Measuring space-time 'entanglement' of electromagnetic waves

Scientists quantify space-time nonseparability of electromagnetic pulses using quantum state tomography and calculate fidelity, concurrence, and entanglement. They propose novel concepts for measuring space-time entanglement in structured light, opening new avenues for ultrahigh-capacity communication and high-security encryption.

2D materials for conducting hole currents from grain boundaries in perovskite solar cells

Researchers have developed a novel method to improve photovoltaic performance in perovskite solar cells by modifying grain boundaries with 2D materials. The modifications lead to enhanced carrier mobility and stability, even under certain conditions where grain boundaries are favorable for device performance.