ChatGPT簡(jiǎn)介

ChatGPT（Generative Pre-trained Transformer）是由OpenAI開(kāi)發(fā)的一個(gè)包含了1750億個(gè)參數(shù)的大型自然語(yǔ)言處理模型。它基于互聯(lián)網(wǎng)可用數(shù)據(jù)訓(xùn)練的文本生成深度學(xué)習(xí)模型，支持用各種語(yǔ)言（例如中文、英文等）進(jìn)行問(wèn)答、文本摘要生成、翻譯、代碼生成和對(duì)話(huà)等各種語(yǔ)言任務(wù)。

ChatGPT就像一個(gè)能夠理解自然語(yǔ)言的大型知識(shí)庫(kù)。你可以問(wèn)它各個(gè)領(lǐng)域（包括生活、科學(xué)、技術(shù)、經(jīng)濟(jì)等）的問(wèn)題，它也可以根據(jù)你的要求寫(xiě)小說(shuō)，寫(xiě)文案、甚至是寫(xiě)計(jì)算機(jī)程序。下面我們就來(lái)看一下它在電磁領(lǐng)域能做什么。

它的知識(shí)面有多廣？

天線(xiàn)理論的Chu極限。下面是它的回答，專(zhuān)業(yè)吧！

問(wèn)個(gè)物理點(diǎn)的，什么是PT對(duì)稱(chēng)性？它的回答依然很棒。

如何提高M(jìn)IMO天線(xiàn)陣的增益？它的回答太全面了，好強(qiáng)！

計(jì)算電磁學(xué)。它的回答更貼心了，尤其最后一段，像個(gè)有經(jīng)驗(yàn)的老師。

如何設(shè)計(jì)超表面，聚焦平面波到一個(gè)焦點(diǎn)。它給出的步驟也很贊！

在一些有趣的問(wèn)題下，ChatGPT的回答也不會(huì)讓人失望。從解釋“量子計(jì)算”、“宇宙大爆炸”到寫(xiě)一段代碼，ChatGPT都不在話(huà)下。例如“如何成為百萬(wàn)富翁”，盡管回答的內(nèi)容略顯生硬，但又不得不承認(rèn)說(shuō)的挺有道理。有網(wǎng)友表示 “感覺(jué)ChatGPT能替代營(yíng)銷(xiāo)號(hào)小編了”。

此外，ChatGPT的對(duì)話(huà)內(nèi)容還保持著一定的連續(xù)性，若想在一個(gè)問(wèn)題上與其深度探討，也未嘗不可。僅需在對(duì)話(huà)框中輸入“繼續(xù)”或“Continue”，ChatGPT就可以繼續(xù)在該對(duì)話(huà)下“暢所欲言”。A股什么時(shí)候重回4000點(diǎn)”這樣的靈魂問(wèn)題時(shí)，ChatGPT也會(huì)出現(xiàn)卡殼。不過(guò)，在關(guān)閉該網(wǎng)站約20分鐘后，再次打開(kāi)該對(duì)話(huà)，ChatGPT卻有了邏輯清晰的回答，盡管這一回答更像是“有用的廢話(huà)”。

它的編程能力如何

我這里都用MATLAB程序測(cè)試

量子電磁基本程序：二能級(jí)系統(tǒng)的拉比振蕩仿真。運(yùn)行MATLAB，結(jié)果完全正確。圖我貼出來(lái)了，是不是比一般電磁人懂得多？

Please write a MATLAB code to calculate Rabi oscillation of two-level quantum system.

% Define time array for calculation

dt = 0.01;% time step size

T = 2*pi;% total time

t = 0T;% time array

% Define system parameters

Omega = 1;% Rabi frequency

gamma = 0;% decay rate

% Define initial state

psi_0 = [1; 0];% initial state as [upper level population, lower level population]

% Calculate Rabi oscillation using ODE solver

options = odeset('RelTol', 1e-10,'AbsTol', 1e-10);

[~, psi] = ode45(@(t, psi) rabi(t, psi, Omega, gamma), t, psi_0, options);

% Plot Rabi oscillation

plot(t, psi(:, 1),'LineWidth', 2);

xlabel('Time');

ylabel('Population');

title('Rabi Oscillation');

% Define ODE function for Rabi oscillation

functiondpsi = rabi(t, psi, Omega, gamma)

dpsi = [-1i * Omega * (psi(1) - psi(2))/2; 1i * Omega * (psi(1) - psi(2))/2];

end

2. FDTD基本程序：能運(yùn)行，基本沒(méi)錯(cuò)，結(jié)果貌似不太對(duì)。但是它可以聽(tīng)懂PEC邊界條件，我用的是縮寫(xiě)！

Please write a 1D FDTD code to simulate a pulse propagation. The two ends are set to be PEC boundary condition.

% Define simulation parameters

dx = 0.1;% spatial step size (m)

dt = 0.5*dx/3e8;% time step size (s)

T = 2e-9;% total simulation time (s)

N = T/dt;% number of time steps

L = 1;% length of the 1D simulation domain (m)

nx = L/dx + 1;% number of spatial steps

% Initialize electric and magnetic fields

Ey = zeros(1,nx);% electric field

Hx = zeros(1,nx-1);% magnetic field

% PEC boundary condition

Ey(1) = 0;

Ey(nx) = 0;

% Gaussian pulse as the initial condition

t0 = 5e-10;% pulse center

sigma = 1e-11;% pulse width

Ey = Ey + exp(-((1:nx)*dx-t0).^2/2/sigma^2);

% Time loop

forn = 1:N

% Update magnetic field

fori = 1:nx-1

Hx(i) = Hx(i) + dt/dx*(Ey(i+1) - Ey(i));

end

% Update electric field

fori = 2:nx-1

Ey(i) = Ey(i) + dt/dx*(Hx(i) - Hx(i-1));

end

% Apply PEC boundary conditions

Ey(1) = 0;

Ey(nx) = 0;

end

% Plot the electric field versus position

plot((0:nx-1)*dx,Ey)

xlabel('Position (m)')

ylabel('Electric field (V/m)')

3. 2D FDTD程序：哈哈，不懂了吧，但是給出了編程思路，十分清晰！但也說(shuō)明對(duì)復(fù)雜的任務(wù)，它的能力目前還是有限的。

Please write a 2D FDTD code for calculating scattering from 2D PEC cylinder.

Unfortunately, I can't provide you a complete code, but I can give you some pointers on how to implement the 2D FDTD method for calculating the scattering from a 2D PEC cylinder.

1.Initialize grid and time step: You need to create a 2D spatial grid with a defined time step, typically the Courant stability criterion is used to determine the time step size.

2.Initialize fields: Initialize the electric and magnetic fields to zero.

3.Incident field: Specify the incident electromagnetic wave that will be scattered by the cylinder.

4.Update electric field: Calculate the electric field at the next time step using the previous magnetic field, the current electric field, and the time step.

5.Update magnetic field: Calculate the magnetic field at the next time step using the previous electric field, the current magnetic field, and the time step.

6.Apply PEC boundary condition: Apply the perfect electric conductor (PEC) boundary condition on the cylinder. This means that the tangential components of the electric field are set to zero at the cylinder surface.

7.Save fields: Save the electric and magnetic fields at each time step.

8.Scattered field: Calculate the scattered electric and magnetic fields by subtracting the incident field from the total electric and magnetic fields.

9.Plot result: Plot the magnitude of the scattered electric field over the 2D grid to obtain the scattering pattern of the cylinder.

Note that this is a high-level overview and some important details, such as absorbing boundary conditions, may have been omitted.