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Showing posts with the label data processing

Room-temperature metasurface waveguide routes/ electrically reads valley-polarized information encoded in 2D tungsten disulfide

https://www.eurekalert.org/news-releases/1137840 "converts valley-polarized optical/ electronic emission into directional guided modes, overcoming reliance on bulky benchtop optical setups... nanoscale architecture enables electrical detection and readout of valley information directly on-chip, marking a critical milestone for practical valleytronic system integration... establishes a scalable path toward ultra-compact, low-power classical and quantum processing chips operating beyond conventional charge-based electronics

Semiconductor ZnPS3 2D layered flakes act as highly stable quantum emitters that natively reliably produce single photons on demand

https://www.eurekalert.org/news-releases/1134238 "room-temperature (unlike alternative quantum light sources) generation of single photons by localized crystal defects within material's structural lattice, acting as identical quantum bits by emitting visible light... integratable into existing fiber-optics/ optical chips as basic network components... highly scalable: on-chip quantum internet networks, unhackable cryptographic computing hardware. secure communications, data processing"

Hardware-centric paradigm solves tradeoff between chip memory/ logic units during heavy artificial intelligence training workloads

https://www.eurekalert.org/news-releases/1129445 "soaring energy/ heat demands from light-based signals translating data back/ forth between electric/ optical states, overcome integrating TPA-QCN organic molecular material onto silicon infrastructure... exhibits powerful 2nd-order optical non-linearity allowing traveling light beams to interact/ process data on chip, enabling passive signal modulation/ amplification compatible with low temperature/ cost commercial manufacturing... scalable/ energy-efficient: hybrid electro-optic AI computing clusters"

Fs laser pulses flip nanoscale magnetic vortices at several hundred ps using magnetic helicity to store/ process data simultaneously

https://phys.org/news/2026-04-laser-flip-nanoscale-magnetic-vortices.html "switching helicity slow/ requires complex power-hungry magnetic fields difficult to integrate into computer chip, overcome using photothermal control of magnetic vortices' twist/ orders magnitude faster... magnetic vortices represent multiple states (clockwise, counter-clockwise, different core polarities) allowing non-binary computing, mimicking neuron signaling... far less waste heat than pushing electrons through silicon transistors, vortex shape topologically stable... existing industrial materials"

Quantum 2D mercury(II)-acetylide frameworks maintain high photonic performance in the near-IR telecom window

https://phys.org/news/2026-04-era-ultrafast-photonics-2d-mercury.html "high degree of tunability that pure organic/ traditional 2D materials (like chemically unstable black phosphorus) often lack in near-IR... most either good letting light through or blocking it; overcome: more transparent as light intensity increases (for creating ultrashort laser pulses)/ more opaque at high intensities (for protecting sensitive sensors/ eyes from high-power laser damage)... rapid carrier recovery, enabling the generation of stable mode-locked and Q-switched lasers at 1560 nm, with pulse widths fs-regime"

Doped hafnium oxide ferroelectric semiconductor memory/ logic gate resolves memory (density, efficiency)/ processor (speed) tradeoff

https://techxplore.com/news/2026-03-storage-capacity-smart-gate-semiconductor.html "rapid electrical polarization switching, non- volatile, data/ CPU/ memory on same chip... 3D Vertical Integration without heat-induced degradation... 4X increased storage capacity, sub-1.0V which is 60% lower for data-intensive tasks, lower latency... direct challenge to high-bandwidth memory (HBM)... because hafnium oxide already standard material in CMOS fabrication, can be integrated into existing semiconductor foundries with minimal retooling"

Room-temperature 2D multiferroic metal exhibits both electric polarization/ magnetic order, for spintronic memory/ logic devices

https://www.eurekalert.org/news-releases/1119888 " electrical writing/ magnetic reading, where electric field controls magnetic states... more energy-efficient than using electrical currents... combines antiferromagnetic/ ferromagnetic chromium telluride bilayers, breaking material's inversion symmetry, inducing spontaneous ferroelectric polarization... strong magnetoelectric coupling... interlayer charge-asymmetry mechanism, compatible with existing CMOS manufacturing... highly energy-efficient single-phase multiferroics at the atomic scale"

Controlling 2D materials' magnetic state using only electric fields advances spintronics and data storage/ processing

https://phys.org/news/2026-02-electrical-magnetism-2d-materials-advance.html "no high-energy magnetic field/ bulky components... low power consumption... apply small gate voltage to specific 2D van der Waals magnets, injecting/ removing charge carriers altering exchange interaction between spins, resulting in ability to switch between ferromagnetic (magnetic)/ antiferromagnetic (non-magnetic/compensated)... Van der Waals Heterostructures layered with 2D graphene or hexagonal boron nitride facilitating electrical tuning... future: room temperature quantum spintronic devices" Related: Chiral nanomaterials enable magnetic-free control of electron spin for next-generation electronics and catalysis https://www.eurekalert.org/news-releases/1120301 Quantum fluid reveals hidden states that can be switched with a magnetic field https://phys.org/news/2026-08-quantum-fluid-reveals-hidden-states.html

Algorithm extracts directional information from noisy 2D datasets; more effective as detector resolution/ computing power increases

https://techxplore.com/news/2026-02-noisy-2d-algorithm-imaging-ai.html "slow signal-to-noise ratios: overcome using mathematically grounded filtering of noise from signal... resolution limited by fixed templates: overcome using scales with improved detector resolution... pattern-recognition using Frobenius norm distance formula rotates reference dataset/ compares to measured data, identifies rotation yielding smallest difference, pinpointing signal's source direction... medical imaging, machine learning, weather mapping, neutrino trajectory/ cosmic event tracking"

Bypassing non-centrosymmetric crystal structure requirement through surface engineering significantly boosts electrical and spin currents

https://www.eurekalert.org/news-releases/1112792 "materials lacking inversion symmetry required to generate current without a p–n junction... overcome, shifting focus from bulk crystal to surface where symmetry naturally broken... thallium on silicon(111) superior platform rivaling ferroelectric materials... abundant/ symmetric materials instead of rare/ complex crystals... new pathways for highly efficient junction-free PV, spin current generation with light alone/ no magnets or external voltages for ultrafast low-power spintronic data processing devices" Related: Trapping light on thermal photodetectors shatters speed records https://www.eurekalert.org/news-releases/1118813

Data center/ electronic GeSn devices reduce global power demands using photonic rather than purely electrical data processing

https://techxplore.com/news/2026-02-gesn-alloys-emerge-semiconductor-class.html "germanium-tin (do not naturally react) semiconductor alloys, previously considered nearly impossible to manufacture, overcome  combining elements under extreme synthesis: >1,200°C, up to 10 gigapascals, stable at room temperature/ normal atmospheric pressure... unlike standard silicon, highly effective converting light into electrical energy/ vice-versa... faster, more energy efficient optoelectronic devices: computer processors, medical imaging"

Compute-in-Memory acts as both processor and non-volatile memory making AI faster, more energy-efficient in rapid analysis of large data sets

https://techxplore.com/news/2025-10-ai-efficiency-advances-spintronic-memory.html "earlier designs relied on analog computing, which while energy-efficient is less precise than digital... Spin-Transfer Torque Magnetic-Random Access Memory spintronic chip stores data within magnetic tunnel junction... different magnetic alignments create varying electrical resistances corresponding to binary states... 7.4–29.6 ns computation latencies, 7.02–112.3 TOPS/W energy efficiencies for fully parallel lossless matrix–vector multiplications across precision configurations ranging from 4 to 16 bits"

On-chip metasurfaces integrated with optical waveguides for miniaturized multi-functional devices with multi-dimensional manipulation capability

https://www.eurekalert.org/news-releases/1103063 "existing joint phase modulation unsuitable for high-throughput optical information processing, overcome with: fast modulation, large information processing capacity, Lithium Niobate on Insulator dynamic photonic platform... diatomic integrated metasurface combining geometric/ detour phases as addressing unit, enabling 4-channel multiplexing expanded into 2x2 metasurface network on waveguide crossing array... on-chip holographic displays, high-capacity optical communication, integrated photonic information processing" Related: New agentic AI platform accelerates advanced optics design https://www.eurekalert.org/news-releases/1109945

Deep-subwavelength light confinement/ control without dissipation, for efficient information processing, quantum optics, high-resolution imaging

https://www.eurekalert.org/news-releases/1102339 "singular dispersion equation gives rise to narwhal-shaped wavefunctions, combining local power-law enhancement with global exponential decay, trapping light in lossless dielectrics... electromagnetic eigenmode field distributions' rapid decay across space enhances energy density per unit volume, achieving strong spatial confinement/ light–matter interaction strength... avoids ohmic loss, enabling compact, energy-efficient photonic devices... also developed near-field scanning optical microscopy technique"

Nanoscale nonlinear polaritonic metasurface enables independent 2nd-harmonic light phase/ magnitude manipulation using electricity

https://phys.org/news/2025-09-nanoscale-optical-device-enables-independent.html "generates entangled photon sources/ other quantum optical systems... device's surface combines quantum wells/ metal nanocavities arranged in pairs with opposite phases... nearly 100% shear horizontal signal intensity modulation depth, full-range phase tunability... lighter, more compact: real-time wavefront shaping, high-speed data encoding, contactless optical switching, entangled photon sources, quantum interference control"

Chip-based laser folds ultra-thin glass into ultra-smooth shapes for microscopic 3D high-performance data processing and sensing optical devices

https://www.eurekalert.org/news-releases/1095100 "3D printers produce only rough 3D structures... mimicking way pinecone’s scales bend outward releasing seeds... record 3D length-to-thickness ratio, helices, concave/ convex mirrors with <1 nm variation... micro-zoom lenses replacing 5 separate cameras in smartphones, microphotonic using light instead of electricity... <2 ms: 1 side heated with laser, glass liquifies, surface tension becomes stronger than gravity, glass pulled into fold where laser hits... bend sheets up to 10 µm thick, fine control down to 0.1 μrad" Related: Breakthrough in laser glass: A rational path to designing complex materials https://www.eurekalert.org/news-releases/1100066

Magnetic field-programmable acceleration of ultrafast demagnetization for multifunctional spintronic devices

https://www.eurekalert.org/news-releases/1093615 "fs laser-induced ferromagnetic 2D van der Waals Fe3GeTe2 simultaneously accelerates demagnetization speed/ suppress its efficiency... controlling energy transfer mechanisms among electron spins (angular momentum), lattice vibrations, charge carriers, for potential fs-speed magnetic storage/ logic... near 210°K Curie temperature applying 7 T magnetic field reduces demagnetization time from 22.2 to 9.9 ps, decreasing efficiency from 79 to 52%... acceleration effect is due to magnetic field-modulated spin entropy"

Energy-efficient spintronic 2D half metal iron/ palladium alloy on a palladium crystal that conducts single-spin electrons, either spin-up or spin-down

https://phys.org/news/2025-07-scientists-successfully-metal-material-electrons.html "overcomes operation only at ultra-low temperatures/ special property loss at surface... properties fine-tuned adjusting iron content, doesn't require perfect crystal structure... spin–orbit coupling does not hinder half-metallicity, instead, carefully balanced with magnetic exchange from iron atoms, spin–orbit coupling enables effect... effective up to room temperature... spin polarization runs opposite to that of magnetization... spin filters/ spin-orbit torque crucial for switching magnetic states in memory chips" Related: NIST Researchers Discover a New Way to Whisk Alloys Together With Lasers https://www.nist.gov/news-events/news/2026/06/nist-researchers-discover-new-way-whisk-alloys-together-lasers

AirComp transmits and processes multiple clusters of data, each completing a distinct calculation, in mid-air simultaneously.

https://spectrum.ieee.org/wireless-communication-over-air-processing "data collected from multiple devices at same time instead of from each separately, faster/ using fewer resources/ same wireless channel... signals naturally combine (forming an average) in the air, then picked up by receiver... interference among clusters alleviated combining 2 machine learning techniques: unfolding algorithm identifies optimized calculations for AI models, graph neural network identifies/ reduces signal interference across clusters... performed well handling 10 clusters... sensors, smart cities, sending updates" Related: New algorithm enables efficient machine learning with symmetric data structures https://techxplore.com/news/2025-07-algorithm-enables-efficient-machine-symmetric.html

NREL: Energy-efficient synapse-like phototransistors for visual information computer processing, self-driving vehicle sensors

https://www.nrel.gov/manufacturing/news/press/2021/scientists-at-nrel-report-new-synapse-like-phototransistor "combined metal-halide perovskite nanocrystals with single-walled carbon nanotube network, shined laser at it, electrical current continued flowing >1 hour at room temperature, mimicing brain synapses storing memories... only low voltages/ light intensities needed... works using any of 3 different types of perovskites: formamidinium lead bromide, cesium lead iodide, and cesium lead bromide... AI, machine learning" Related: Australian engineers develop brain-like device for next-gen visual processing https://www.aumanufacturing.com.au/australian-engineers-develop-brain-like-device-for-next-gen-visual-processing Brain-inspired phototransistor could cut AI energy use by sensing and storing data https://techxplore.com/news/2026-06-brain-phototransistor-ai-energy.html