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Nature Communications | ZEPTOOLS ZEM Series Desktop Scanning Electron Microscope Aids Development of Highly Stable Fiber-Integrated Graphene Ultrafast Electron Source

Nature Communications | ZEPTOOLS ZEM Series Desktop Scanning Electron Microscope Aids Development of Highly Stable Fiber-Integrated Graphene Ultrafast Electron Source

In the field of vacuum electronics, stable and durable ultrafast electron sources are critical for achieving high-precision time-resolved imaging and spectroscopic analysis. Traditional electron sources typically rely on metals such as gold and tungsten, or low-dimensional materials such as carbon nanotubes, as photocathodes, generating electron pulses through mechanisms such as multiphoton emission, the photoelectric effect, or optical field emission. However, these methods have significant limitations. On the one hand, multiphoton emission and optical field emission require ultra-high-power lasers or deep ultraviolet pulse excitation, leading not only to cathode material damage and mechanical vibration but also demanding extreme vacuum conditions. On the other hand, existing electron sources generally suffer from time-dependent beam current instability, requiring recalibration every 4–6 hours, which severely constrains equipment operational efficiency and data reliability.

15

2025

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07

Nature Communications | ZEPTOOLS In-Situ TEM Facilitates Research on Chip-Scale Compact Photonic Random Neurons

Nature Communications | ZEPTOOLS In-Situ TEM Facilitates Research on Chip-Scale Compact Photonic Random Neurons

With the advent of the big data era, traditional artificial intelligence hardware systems based on complementary metal-oxide-semiconductor (CMOS) technology and the von Neumann architecture are severely constrained by the physical limits of Moore's Law when facing exponentially growing computational demands, encountering significant challenges such as bottlenecks in computational efficiency improvement and high energy consumption. Consequently, integrated photonic neural networks (PNNs), leveraging the inherent advantages of photons—ultra-high speed, wide bandwidth, high parallelism, and low power consumption—have emerged as a highly promising new computing paradigm that integrates neuromorphic and photonic computing. In biology, neurons do not perform deterministic calculations; internal noise, such as the stochastic opening of their ion channels, endows biological neurons with inherent stochastic dynamics, thereby providing crucial support for probabilistic computations like Bayesian inference. Therefore, introducing probabilistic models into photonic hardware is of great significance for suppressing the overconfidence of deterministic reasoning and enhancing the accuracy and robustness of neural networks.

03

2026

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06

CEJ | ZEPTOOLS ZEM Series SEM Facilitates Research on Regulating Organelle Crosstalk to Promote Osseointegration of Diabetic Implants

CEJ | ZEPTOOLS ZEM Series SEM Facilitates Research on Regulating Organelle Crosstalk to Promote Osseointegration of Diabetic Implants

As a metabolic epidemic affecting hundreds of millions of people worldwide, the pathological impact of diabetes mellitus extends far beyond blood glucose dysregulation itself. Diabetes-induced bone disorders, in particular, have become a focal point of clinical concern. In the diabetic state, patients often suffer from serious issues such as an increased risk of bone fractures, delayed healing, and impaired bone regeneration. These are primarily attributed to hyperglycemia-induced oxidative stress and the accumulation of advanced glycation end products (AGEs), which trap bone metabolism in a state of low turnover and metabolic paralysis. Current anti-resorptive therapies have proven inadequate in addressing this complex metabolic bone disease and struggle to fundamentally reverse the deep-seated damage diabetes inflicts on bone cells.

28

2026

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05

Adv. Energy Mater. | ZEPTOOLS In-situ TEM Reveals Zero-Strain Sodium Storage and Ten-Thousand-Cycle Mechanism of Potassium Titanate Anode

Adv. Energy Mater. | ZEPTOOLS In-situ TEM Reveals Zero-Strain Sodium Storage and Ten-Thousand-Cycle Mechanism of Potassium Titanate Anode

With the increasing demand for renewable energy grid integration and the miniaturization of portable electronic devices, the development of energy storage systems that combine high energy density, high power density, and long cycle life has become a major focus of global scientific research. Due to the decreasing reserves and rising costs of lithium resources, sodium-ion energy storage technology offers core advantages such as abundant sodium reserves and low cost, positioning it as an ideal alternative for large-scale, low-cost energy storage systems. Among various sodium-ion storage technologies, sodium-ion capacitors (SICs) achieve an excellent balance between energy density and power density by integrating the Faradaic reaction mechanism of battery-type anodes with the electric double-layer capacitance behavior of capacitor-type cathodes, demonstrating significant commercial application potential. Among these, K2Ti6O13 (KTO) is widely recognized as a highly promising anode material for sodium-ion capacitors due to its tunable 3D tunnel framework, low cost, and environmental compatibility.

19

2026

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05

Nature Electronics | ZEPTOOLS In-Situ TEM Facilitates Microscopic Mechanism Study of In-Sensor Computing Devices

Nature Electronics | ZEPTOOLS In-Situ TEM Facilitates Microscopic Mechanism Study of In-Sensor Computing Devices

The rise of intelligent edge applications, such as micro-robots and wearable devices, has imposed stringent requirements for low power consumption in visual perception systems. Although the traditional complementary metal-oxide-semiconductor (CMOS) architecture is technologically mature, the computational and memory overheads associated with analog-to-digital conversion and algorithm execution often exceed the extremely low power budgets of edge devices. In-sensor computing technology integrates optical sensing and analog computation within a single chip, reducing data redundancy and significantly lowering energy consumption from the source, making it a key pathway to address the above bottleneck. Currently, researchers often attempt to use electrostatic doping or two-dimensional materials to encode tunable photoresponsivity weights, thereby performing the matrix-vector multiplication operations at the core of neural networks.

09

2026

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05

ZEPTOOLS DMD Maskless Aligner | Fabrication of High-Performance Two-Dimensional Palladium Diselenide Long-Wave Infrared Focal Plane Arrays

ZEPTOOLS DMD Maskless Aligner | Fabrication of High-Performance Two-Dimensional Palladium Diselenide Long-Wave Infrared Focal Plane Arrays

Long-wave infrared detection technology holds core application value in military, medical, and industrial security fields. Its detection band aligns well with the thermal radiation peak of room-temperature objects, making it key to achieving uncooled thermal imaging. Currently, vanadium oxide and amorphous silicon, with their excellent temperature coefficient of resistance and tunable resistivity, have become the mainstream thermosensitive materials for uncooled infrared focal plane arrays. However, the research community continues to seek higher-performance alternatives. Palladium diselenide (PdSe₂), as an emerging two-dimensional semiconductor with layer‑tunable bandgap, excellent chemical stability, and good compatibility with low‑power CMOS back‑end‑of‑line processes, is regarded as an ideal platform for developing next‑generation high‑performance, low‑cost infrared detectors.

29

2026

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04

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