Biomimetic metasurface information processing unit, system and method of DNA coded information processing

Abstract

The application discloses a kind of bionic super surface information processing unit, system and DNA coding information processing method, the bionic super surface information processing unit includes first metal layer, each intermediate layer and fourth metal layer sequentially stacked from bottom to top;The first metal layer is electrically connected with fourth metal layer by metal via hole;The first metal layer includes first metal patch, and is integrated with T-shaped junction power divider and radio frequency detector;The fourth metal layer includes second metal patch, and is integrated with radio frequency amplifier and memory element;The unit can simultaneously complete the reception, storage, calculation and retransmission of information, and constitutes a complete bionic processing node.Multiple units are periodically arranged to form a super surface array, and multiple arrays are stacked to form a multi-layer structure, which is used to simulate the cooperative processing mechanism of different functional areas of the brain, and is combined with the DNA computing principle to realize the sequence recognition, logic operation and information read-write function of DNA-like through electromagnetic regulation.

Description

Technical Field

[0001] This invention relates to the field of biomimetic metasurface technology, and in particular to a biomimetic metasurface information processing unit, system, and method for DNA-encoded information processing. Background Technology

[0002] With the development of artificial intelligence and robotics, the demand for high-performance, low-power computing hardware is increasing. Traditional electronic computing architectures are gradually facing bottlenecks in terms of power consumption, integration, and parallel processing capabilities, making it difficult to meet the requirements of real-time processing of complex tasks. In recent years, inspired by the information processing mechanisms in biological systems (such as neural network computing and DNA computing), biomimetic computing hardware has become an important research direction.

[0003] In existing technologies, research has proposed using metasurfaces to control electromagnetic waves, and even introduced preliminary nonlinear or reconfigurable characteristics. However, most of these schemes still rely on external analog-to-digital converters / digital-to-analog converters (ADCs / DACs) and digital processing units, resulting in problems such as high system redundancy, high energy consumption, and slow response speed. On the other hand, although DNA computing exhibits extremely high parallelism and information density in solution, it is difficult to directly integrate with electronic systems, and reading, writing, and control still depend on the biochemical environment, limiting practical applications.

[0004] Therefore, there is an urgent need to develop a new computing architecture that can deeply integrate the principles of biomolecular computing with electronic information processing hardware, so as to realize an electrically controllable, integrable, and scalable biomimetic information processing system while maintaining high energy efficiency and high density. Summary of the Invention

[0005] The purpose of this invention is to provide a biomimetic metasurface information processing unit, system, and method for DNA-encoded information processing, in order to solve the following problems existing in the prior art: traditional computing hardware has low energy efficiency and is difficult to process in parallel on a large scale; DNA computing is incompatible with electronic systems; existing metasurfaces have limited functions and lack integrated information storage and processing capabilities; and the system relies on external control circuits, resulting in high complexity and latency.

[0006] The technical solution of this invention is:

[0007] A biomimetic metasurface information processing unit, wherein the unit has a multi-layer structure, including a first metal layer, a first dielectric layer, a second metal layer, an adhesive sheet layer, a third metal layer, a second dielectric layer, and a fourth metal layer stacked sequentially from bottom to top; the first metal layer is electrically connected to the fourth metal layer through vias in the intermediate layers;

[0008] The first metal layer includes a first metal patch and integrates a T-junction dB power divider and an RF detector. The metal patch of the first metal layer and the T-junction dB power divider are connected through a microstrip line. The spatial electromagnetic wave energy coupled by the first metal patch is transmitted through the microstrip line and split into two RF signals by the T-junction power divider. One RF signal is converted into a DC voltage by the RF detector to realize energy detection, and the other RF signal is transmitted to the fourth metal layer through a via.

[0009] The fourth metal layer includes a second metal patch and integrates an RF amplifier and a memory element. The RF amplifier is used to amplify the RF signal transmitted through the via, and the memory element is used to store the configuration status of the unit or the processed data information. The second metal patch is used for signal transmission.

[0010] Preferably, the first metal patch and the second metal patch are circular patches.

[0011] Preferably, the radio frequency detector, radio frequency amplifier, and memory element together constitute an electromagnetic control module, which is used to realize the dynamic reconstruction and historical association of the computing function of the biomimetic metasurface information processing unit.

[0012] The biomimetic metasurface information processing system includes multiple biomimetic metasurface information processing units. These multiple biomimetic metasurface information processing units are periodically arranged to form a metasurface array. Multiple arrays are stacked to form a five-layer structure, which is used to simulate the collaborative processing mechanism of different functional areas of the brain.

[0013] Preferably, the system integrates with DNA computing principles, designs a dedicated information processing algorithm, and works in collaboration with metasurface hardware to encode, parse, and reconstruct the electromagnetic signals received and transmitted by the unit. Through electromagnetic control, it realizes DNA-like sequence recognition, logical operations, and information reading and writing functions.

[0014] A method for processing DNA-encoded information, based on the aforementioned biomimetic metasurface information processing system, includes the following steps:

[0015] Step 601: Establish a mapping relationship between the four DNA bases adenine (A), guanine (G), thymine (T), and cytosine (C) and specific two-bit binary coding sequences;

[0016] Step 602: Convert the DNA sequence information to be processed into a corresponding binary control signal sequence according to the mapping relationship using a host computer or a field-programmable gate array (FPGA);

[0017] Step 603: Apply the binary control signal sequence to the biomimetic metasurface information processing system to control the working state of each unit, so that the electromagnetic response of the biomimetic metasurface information processing system simulates the encoded information of a specific DNA sequence;

[0018] Step 604: Using matching algorithms corresponding to different functional areas of the brain, the electromagnetic signals output by the biomimetic metasurface information processing system are read and analyzed, thereby realizing logical operations, sequence recognition, or information reading functions based on DNA encoding rules.

[0019] A multi-frequency information processing method is provided, based on the aforementioned biomimetic metasurface information processing system.

[0020] The biomimetic metasurface information processing system includes multiple metasurface neural network modules configured to simulate different brain functional areas. The metasurface neural network modules are composed of multiple layers of the biomimetic metasurface array stacked together.

[0021] The method includes:

[0022] Electromagnetic wave signals with different center frequencies are simultaneously applied to different metasurface neural network modules composed of the aforementioned biomimetic metasurface information processing units;

[0023] Each metasurface neural network module independently receives and processes signals in its corresponding frequency band to simulate the collaborative processing of multimodal external information by different brain functional areas in parallel.

[0024] The processed information is transmitted and associated through the interconnection between metasurface neural network modules, ultimately realizing brain-like associative computing functions.

[0025] Preferably, the total computing power of the biomimetic metasurface information processing system is... Determined by the following formula:

[0026] ;

[0027] in, , ,..., Represents the equivalent number of neurons in each layer of the network;

[0028] T represents the computational delay of the network, which is the propagation time of the signal from input to output;

[0029] The system's energy efficiency From the formula Calculation, where This represents the total power consumption of the system.

[0030] Beneficial effects:

[0031] Compared with the prior art, the technical solution of the present invention has the following advantages:

[0032] 1. This invention achieves high-density integration at the hardware level by integrating storage, computing and transceiver functions in the same metasurface unit. Assuming that a single unit has a storage capacity of 1MB, the overall storage density far exceeds that of existing electronic processors and biological brains.

[0033] 2. This invention adopts a multi-unit stacked array structure, which can simulate the collaborative working mechanism of different brain regions, and has high parallelism and information association processing capabilities, making it suitable for low-power and high-efficiency processing of complex cognitive tasks.

[0034] 3. This invention directly controls the behavior of the unit through electromagnetic signals, eliminating the need for frequent digital-to-analog conversion and external computing control equipment, thus significantly reducing system latency and power consumption.

[0035] 4. This invention innovatively combines metasurface electronic structure with the principles of DNA molecular computing, realizing DNA-like information editing, replication, and logical operations in a solid-state system, providing a hardware foundation for the integration of molecular computing and electronic information processing.

[0036] 5. The overall architecture of this invention has high scalability and reconfigurability, and its functions can be dynamically configured according to task requirements, making it suitable for fields such as next-generation artificial intelligence, robotics, and brain-computer interfaces.

[0037] In summary, this invention constructs a 4D biomimetic metasurface processor architecture that integrates information storage, computation, and electromagnetic wave modulation. It can simulate the information processing mechanism of ion channels in the biological brain and is suitable for ultra-low power consumption and high parallelism brain-like computing and DNA information processing. It realizes high parallelism and ultra-low power consumption brain-like computing and molecular information processing functions, significantly improving energy efficiency and integration, and providing a feasible technical path for the development of next-generation artificial intelligence computing hardware. Attached Figure Description

[0038] The present invention will be further described below with reference to the accompanying drawings and embodiments:

[0039] Figure 1 This is an exploded view of the biomimetic metasurface information processing unit of the present invention;

[0040] Figure 2 This is a schematic diagram of the front structure of the biomimetic metasurface information processing unit of the present invention;

[0041] Figure 3 This is a schematic diagram of the back structure of the biomimetic metasurface information processing unit of the present invention;

[0042] Figure 4 This is a schematic diagram of the biomimetic metasurface information processing unit of the present invention;

[0043] Figure 5 This is a schematic diagram of the biomimetic metasurface information processing system of the present invention;

[0044] Figure 6 This is a schematic diagram of the DNA encoding information processing method of the present invention;

[0045] Figure 7 This is a schematic diagram of the biomimetic metasurface information processing system of the present invention. Detailed Implementation

[0046] like Figure 1 As shown, the biomimetic metasurface information processing unit has a multi-layer structure, comprising, from bottom to top, a first metal layer 1, a first dielectric layer 2, a second metal layer 3, an adhesive layer 4, a third metal layer 5, a second dielectric layer 6, and a fourth metal layer 7. The first metal layer 1 is electrically connected to the fourth metal layer 7 through vias 8 in the intermediate layers. The basic unit structure is square, with a side length of 10 mm.

[0047] like Figure 2-4 As shown, the side containing the first metal layer 1 is considered the back side. The first metal layer 1 includes a circular first metal patch 10 with a radius of 7.32 mm, and integrates a T-junction power divider 11 and an RF detector 12. The metal patch of the first metal layer 1 and the T-junction power divider 11 are connected by microstrip lines. The spatial electromagnetic wave energy coupled by the first metal patch 10 is transmitted through the microstrip lines and split into two RF signals by the T-junction power divider 11. One RF signal is converted into a DC voltage by the RF detector 12 to realize energy detection, and the other RF signal is transmitted to the fourth metal layer 7 through the via 8.

[0048] The side containing the fourth metal layer 7 is considered the front side. The fourth metal layer 7 includes a circular second metal patch 20 with a radius of 7.32 mm, and integrates an RF amplifier 21 and a memory element 22. The RF amplifier 21 is used to amplify the RF signal transmitted through the via 8, and the memory element 22 is used to store the configuration status of the unit or the processed data information. The second metal patch 20 is used for signal transmission.

[0049] The radio frequency detector 12, radio frequency amplifier 21, and memory element 22 together constitute an electromagnetic control module, used to dynamically reconstruct and historically correlate the computational functions of the biomimetic metasurface information processing unit. This circuit ensures that the unit structure has the ability to actively send and receive information, store information, and process information. Encoding the array formed by the periodic arrangement of these units can realize DNA-like sequence recognition, logical operations, and information reading and writing functions.

[0050] like Figure 5As shown, based on the above-mentioned biomimetic metasurface information processing unit, this invention proposes a biomimetic metasurface information processing system, including multiple of the aforementioned biomimetic metasurface information processing units. The multiple biomimetic metasurface information processing units are periodically arranged to form a metasurface array, and the multiple arrays are stacked to form a five-layer structure, which is used to simulate the collaborative processing mechanism of different functional areas of the brain.

[0051] The system integrates DNA computing principles, designs a dedicated information processing algorithm, and works in collaboration with metasurface hardware. It is responsible for encoding, parsing, and reconstructing the electromagnetic signals received and transmitted by the unit. Through electromagnetic control, it realizes DNA-like sequence recognition, logical operations, and information reading and writing functions.

[0052] like Figure 6 As shown, the present invention also proposes a method for processing DNA-encoded information, based on the aforementioned biomimetic metasurface information processing system, comprising the following steps:

[0053] Step 601: Establish a mapping relationship between the four DNA bases adenine (A), guanine (G), thymine (T), and cytosine (C) and specific two-bit binary coding sequences;

[0054] Step 602: Convert the DNA sequence information to be processed into a corresponding binary control signal sequence according to the mapping relationship using a host computer or a field-programmable gate array (FPGA);

[0055] Step 603: Apply the binary control signal sequence to the biomimetic metasurface information processing system to control the working state of each unit, so that the electromagnetic response of the biomimetic metasurface information processing system simulates the encoded information of a specific DNA sequence;

[0056] Step 604: Using matching algorithms corresponding to different functional areas of the brain, the electromagnetic signals output by the biomimetic metasurface information processing system are read and analyzed, thereby realizing logical operations, sequence recognition, or information reading functions based on DNA encoding rules.

[0057] like Figure 7 As shown, the present invention also proposes a multi-frequency information processing method based on the biomimetic metasurface information processing system. The biomimetic metasurface information processing system includes multiple metasurface neural network modules configured to simulate different brain functional areas (such as thinking functional areas, mental functional areas, auditory functional areas, etc.). The metasurface neural network modules are composed of multiple layers of the biomimetic metasurface array stacked together. Different metasurface neural networks can simulate different human brain functional areas and can be interconnected through wireless communication, thereby achieving collaborative implementation of more complex biomimetic tasks.

[0058] The multi-frequency information processing method includes:

[0059] Electromagnetic wave signals with different center frequencies are simultaneously applied to different metasurface neural network modules composed of the aforementioned biomimetic metasurface information processing units;

[0060] Each metasurface neural network module independently receives and processes signals in its corresponding frequency band to simulate the collaborative processing of multimodal external information by different brain functional areas in parallel.

[0061] The processed information is transmitted and associated through the interconnection between metasurface neural network modules, ultimately realizing brain-like associative computing functions.

[0062] The total computing power of the biomimetic metasurface information processing system Determined by the following formula:

[0063] ;

[0064] in, , ,..., Represents the equivalent number of neurons in each layer of the network;

[0065] T represents the computational delay of the network, which is the propagation time of the signal from input to output;

[0066] The system's energy efficiency From the formula Calculation, where This represents the total power consumption of the system.

[0067] The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement it accordingly. They should not be construed as limiting the scope of protection of the present invention. All modifications made according to the spirit and essence of the main technical solution of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A biomimetic metasurface information processing unit, characterized in that, The unit is a multi-layer structure, including a first metal layer (1), a first dielectric layer (2), a second metal layer (3), an adhesive sheet layer (4), a third metal layer (5), a second dielectric layer (6), and a fourth metal layer (7) stacked sequentially from bottom to top; the first metal layer (1) is electrically connected to the fourth metal layer (7) through the vias (8) of the intermediate layers; The first metal layer (1) includes a first metal patch (10) and integrates a T-junction power divider (11) and a radio frequency detector (12). The metal patch of the first metal layer (1) is connected to the T-junction power divider (11) through a microstrip line. The spatial electromagnetic wave energy coupled by the first metal patch (10) is transmitted through the microstrip line and divided into two radio frequency signals by the T-junction power divider (11). One radio frequency signal is converted into DC voltage by the radio frequency detector (12) to realize energy detection, and the other radio frequency signal is transmitted to the fourth metal layer (7) through a via (8). The fourth metal layer (7) includes a second metal patch (20) and integrates a radio frequency amplifier (21) and a memory element (22). The radio frequency amplifier (21) is used to amplify the radio frequency signal transmitted through the via (8), the memory element (22) is used to store the configuration status of the unit or the processed data information, and the second metal patch (20) is used for signal transmission.

2. The biomimetic metasurface information processing unit according to claim 1, characterized in that, The first metal patch (10) and the second metal patch (20) are circular patches.

3. The biomimetic metasurface information processing unit according to claim 1, characterized in that, The radio frequency detector (12), radio frequency amplifier (21), and memory element (22) together constitute an electromagnetic control module, which is used to realize the dynamic reconstruction and historical association of the computing function of the biomimetic metasurface information processing unit.

4. A biomimetic metasurface information processing system, characterized in that, It includes multiple biomimetic metasurface information processing units as described in any one of claims 1-3, wherein multiple biomimetic metasurface information processing units are periodically arranged to form a metasurface array, and multiple arrays are stacked to form a five-layer structure, which is used to simulate the collaborative processing mechanism of different functional areas of the brain.

5. The biomimetic metasurface information processing system according to claim 4, characterized in that, The system integrates DNA computing principles, designs a dedicated information processing algorithm, and works in collaboration with metasurface hardware. It is responsible for encoding, parsing, and reconstructing the electromagnetic signals received and transmitted by the unit. Through electromagnetic control, it realizes DNA-like sequence recognition, logical operations, and information reading and writing functions.

6. A method for processing DNA-encoded information, based on the biomimetic metasurface information processing system described in claim 4 or 5, characterized in that: Includes the following steps: Step 601: Establish a mapping relationship between the four DNA bases adenine (A), guanine (G), thymine (T), and cytosine (C) and specific two-bit binary coding sequences; Step 602: Convert the DNA sequence information to be processed into a corresponding binary control signal sequence according to the mapping relationship using a host computer or a field-programmable gate array (FPGA); Step 603: Apply the binary control signal sequence to the biomimetic metasurface information processing system to control the working state of each unit, so that the electromagnetic response of the biomimetic metasurface information processing system simulates the encoded information of a specific DNA sequence; Step 604: Using matching algorithms corresponding to different functional areas of the brain, the electromagnetic signals output by the biomimetic metasurface information processing system are read and analyzed, thereby realizing logical operations, sequence recognition, or information reading functions based on DNA encoding rules.

7. A multi-frequency information processing method, based on the biomimetic metasurface information processing system described in claim 4 or 5, characterized in that: The biomimetic metasurface information processing system includes multiple metasurface neural network modules configured to simulate different brain functional areas. The metasurface neural network modules are composed of multiple layers of the biomimetic metasurface array stacked together. The method includes: Electromagnetic wave signals with different center frequencies are simultaneously applied to different metasurface neural network modules composed of the aforementioned biomimetic metasurface information processing units; Each metasurface neural network module independently receives and processes signals in its corresponding frequency band to simulate the collaborative processing of multimodal external information by different brain functional areas in parallel. The processed information is transmitted and associated through the interconnection between metasurface neural network modules, ultimately realizing brain-like associative computing functions.

8. The multi-frequency information processing method according to claim 7, characterized in that, The total computing power of the biomimetic metasurface information processing system Determined by the following formula: ； in, , ,..., Represents the equivalent number of neurons in each layer of the network; T represents the computational delay of the network, which is the propagation time of the signal from input to output; The system's energy efficiency From the formula Calculation, where This represents the total power consumption of the system.

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