go atlas Define mesh parameters mesh space.mult=1e-6 x.mesh loc=0.00 spac=0.1e-6 x.mesh loc=0.02 spac=0.1e-6 y.mesh loc=-0.5e-6 spac=0.02e-6 y.mesh loc=0 spac=0.02e-6 y.mesh loc=0.02e-6 spac=0.1e-6 Define regions and materials region num=1 material=GaN region num=2 material=AlGaN x.min=0.02 Material properties (adjusted based on the paper) material material=GaN eg=3.42 affinity=4.1 mun=1000 mup=200 material material=AlGaN eg=4.32 affinity=2.1 mun=300 mup=50 alloy=0.3 # Al0.3Ga0.7N Doping distribution (as provided in the initial code) doping reg=1 uniform p.type conc=1e16 doping reg=2 uniform n.type conc=1e18 Electrode definitions electrode name=gate left electrode name=source bottom electrode name=drain top Physical models models region=1 fermi srh auger bgn fldmob models region=2 fermi srh auger bgn fldmob piezoelectric Contact properties contact name=gate workf=4.7 contact name=source workf=4.7 contact name=drain workf=4.7 Polarization charge setup (critical parameter from the paper) p.polarization polarization.file=“AlGaN_GaN.pol” Initial solver settings solve init method newton trap maxtraps=5 修改后的主要部分（条件语句结构调整）设置不同迁移率条件（根据论文讨论） param mun_gan=1000 * 默认GaN迁移率 param mun_algahn_1=300 * 默认AlGaN迁移率 param mun_algahn_2=600 * 高迁移率条件 param mun_algahn_3=900 * 更高迁移率条件执行不同迁移率条件下的IV扫描 loop param=mobility_case values=1,2,3 if (mobility_case == 1) material material=AlGaN mun=mun_algahn_1 elseif (mobility_case == 2) material material=AlGaN mun=mun_algahn_2 else material material=AlGaN mun=mun_algahn_3 endif solve init # 重新初始化求解器 log outf=iv_mob$[mobility_case].log # 修正变量引用方式 solve vdrain=0.0 loop num=50 v=0.1 to 10 step=0.2 solve vdrain=$v save outf=iv_mob$[mobility_case]_$v.str log outf=iv_mob$[mobility_case].log append # 保持单一log文件 endloop endloop Generate plots for each mobility case tonyplot iv_mob1.log -set iv_mob1.plt tonyplot iv_mob2.log -set iv_mob2.plt tonyplot iv_mob3.log -set iv_mob3.plt silvaco报错stray ELES encountered on line 77和moniter string 'ERROR #'from selected list detected ,请帮我写出正确代码

Define mesh parameters mesh space.mult=1e-6 x.mesh loc=0.00 spac=0.1e-6 x.mesh loc=0.02 spac=0.1e-6 y.mesh loc=-0.5e-6 spac=0.02e-6 y.mesh loc=0 spac=0.02e-6 y.mesh loc=0.02e-6 spac=0.1e-6 Define regions and materials region num=1 material=GaN region num=2 material=AlGaN x.min=0.02 Material properties (adjusted based on the paper) material material=GaN eg=3.42 affinity=4.1 mun=1000 mup=200 material material=AlGaN eg=4.32 affinity=2.1 mun=300 mup=50 alloy=0.3 # Al0.3Ga0.7N Doping distribution (as provided in the initial code) doping reg=1 uniform p.type conc=1e16 doping reg=2 uniform n.type conc=1e18 Electrode definitions electrode name=gate left electrode name=source bottom electrode name=drain top Physical models models region=1 fermi srh auger bgn fldmob models region=2 fermi srh auger bgn fldmob piezoelectric Contact properties contact name=gate workf=4.7 contact name=source workf=4.7 contact name=drain workf=4.7 Polarization charge setup (critical parameter from the paper) p.polarization polarization.file=“AlGaN_GaN.pol” Initial solver settings solve init method newton trap maxtraps=5 Set up different mobility conditions as discussed in the paper 修改后的主要部分（条件语句结构调整）设置不同迁移率条件（根据论文讨论） param mun_gan=1000 * 默认GaN迁移率 param mun_algahn_1=300 * 默认AlGaN迁移率 param mun_algahn_2=600 * 高迁移率条件 param mun_algahn_3=900 * 更高迁移率条件执行不同迁移率条件下的IV扫描 loop param=mobility_case values=1,2,3 if (mobility_case == 1) material material=AlGaN mun=mun_algahn_1 endif if (mobility_case == 2) material material=AlGaN mun=mun_algahn_2 endif if (mobility_case == 3) material material=AlGaN mun=mun_algahn_3 endif 根据迁移率案例记录输出文件 log outf=iv_mob$mobility_case.log 执行IV扫描 solve vdrain=0.0 loop num=50 v=0.1 to 10 step=0.2 solve vdrain=$v save outf=iv_mob$mobility_case_$v.str log outf=iv_mob$mobility_case_$v.log append endloop endloop Generate plots for each mobility case tonyplot iv_mob1.log -set iv_mob1.plt tonyplot iv_mob2.log -set iv_mob2.plt tonyplot iv_mob3.log -set iv_mob3.plt 运行发现silvaco中iv_mob1.log等文件不存在

例如，当mobility_case=1，v=0.1时，文件名应该是iv_mob1_0.1.log。但用户提到的是iv_mob1.log不存在，这说明主日志文件可能没有被正确生成。需要注意，用户在主循环中首先执行了log outf=iv_mob$mobility_case....

# (c) Silvaco Inc., 2019 go atlas # # This example demonstrates the use of the high-k mobility model for # mobility reduction due to remote phonon scattering. This is based # in the work in: # # Zhu, W. and Ma, T., "Temperature Dependence of CHannel Mobility in # HfO2-Gated NMOSFETs", IEEE Elec. Dev. Lett., Vol. 25, No. 2, pp. 89-91, # 2 Feb. 2004. # # The objective of this simulation is to reproduce the data in figure 2 # of that reference. # # First define a simple MISFET (2 micron chanel length). In the first # run we use a HfO2 gate dielectric. In the second half we use SiO2 # of equivalent thickness. # mesh x.m l=0.00 s=0.1 x.m l=0.8 s=0.05 x.m l=1.3 s=0.1 x.m l=1.8 s=0.05 x.m l=2.6 s=0.1 # y.m l=-0.004888 s=0.001 y.m l=0.0 s=0.001 y.m l=0.1 s=0.025 y.m l=1 s=0.2 # region num=1 y.min=0 y.max=1 silicon region num=2 y.max=0 material=HfO2 electrode name=gate x.min=0.6 x.max=2.0 y.max=-0.004888 electrode name=source x.max=0.5 y.min=0 y.max=0 electrode name=drain x.min=2.1 y.min=0 y.max=0 electrode substrate doping uniform conc=4e15 p.type doping gauss n.type conc=1e20 char=0.075 lat.char=0.05 reg=1 x.r=0.6 doping gauss n.type conc=1e20 char=0.075 lat.char=0.05 reg=1 x.l=2 # # The following line uses the high-k workfunction model. # contact name=gate aluminum # # Optionally modify workfunction. # #contact name=gate highk.al on.HfO2 # # Here we assign high background mobility to separate out # remote phonon effect, mobility rps.n rps.p mun0=5000 # # normally this would also be on to include cvt model. # #mobility cvt.n cvt.p # method newton carriers=2 # solve init solve solve vdrain=0.01 # save outf=highkex01_0.str # # Here we probe the normal field and channel charge. These are # used in the set file to help calculate effective channel mobility. # probe name=Eperp x=1.3 y=0.0001 dir=90 field probe name=charge x.min=1.1 x.max=1.5 n.conc integrate y.min=0 y.max=0.2 # log outf=highkex01_0.log solve vstep=0

好的，我现在需要帮用户解决关于使用ATLAS仿真高k迁移率模型的问题，特别是涉及HfO2栅介质和远程声子散射效应的MOSFET器件。首先，我需要理解用户的具体需求，他们可能是在进行半导体器件模拟，想要了解如何利用...

def init(self, template_path): super(Model, self).init() # set template mesh self.template_mesh = jr.Mesh.from_obj(template_path, dr_type='n3mr') self.vertices = (self.template_mesh.vertices * 0.5).stop_grad() self.faces = self.template_mesh.faces.stop_grad() self.textures = self.template_mesh.textures.stop_grad() # optimize for displacement map and center self.displace = jt.zeros(self.template_mesh.vertices.shape) self.center = jt.zeros((1, 1, 3)) # define Laplacian and flatten geometry constraints self.laplacian_loss = LaplacianLoss(self.vertices[0], self.faces[0]) self.flatten_loss = FlattenLoss(self.faces[0])在每行代码后添加注释

self.template_mesh = jr.Mesh.from_obj(template_path, dr_type='n3mr') # 缩放网格顶点坐标，并设置为不可求导 self.vertices = (self.template_mesh.vertices * 0.5).stop_grad() # 设置网格面和纹理，并...

解释：target = self.survey.source.target collection = self.survey.source.collection '''Mesh''' # Conductivity in S/m (or resistivity in Ohm m) background_conductivity = 1e-6 air_conductivity = 1e-8 # Permeability in H/m background_permeability = mu_0 air_permeability = mu_0 dh = 0.1 # base cell width dom_width = 20.0 # domain width # num. base cells nbc = 2 ** int(np.round(np.log(dom_width / dh) / np.log(2.0))) # Define the base mesh h = [(dh, nbc)] mesh = TreeMesh([h, h, h], x0="CCC") # Mesh refinement near transmitters and receivers mesh = refine_tree_xyz( mesh, collection.receiver_location, octree_levels=[2, 4], method="radial", finalize=False ) # Refine core mesh region xp, yp, zp = np.meshgrid([-1.5, 1.5], [-1.5, 1.5], [-6, -4]) xyz = np.c_[mkvc(xp), mkvc(yp), mkvc(zp)] mesh = refine_tree_xyz(mesh, xyz, octree_levels=[0, 6], method="box", finalize=False) mesh.finalize() '''Maps''' # Find cells that are active in the forward modeling (cells below surface) ind_active = mesh.gridCC[:, 2] < 0 # Define mapping from model to active cells active_sigma_map = maps.InjectActiveCells(mesh, ind_active, air_conductivity) active_mu_map = maps.InjectActiveCells(mesh, ind_active, air_permeability) # Define model. Models in SimPEG are vector arrays N = int(ind_active.sum()) model = np.kron(np.ones((N, 1)), np.c_[background_conductivity, background_permeability]) ind_cylinder = self.getIndicesCylinder( [target.position[0], target.position[1], target.position[2]], target.radius, target.length, [target.pitch, target.roll], mesh.gridCC ) ind_cylinder = ind_cylinder[ind_active] model[ind_cylinder, :] = np.c_[target.conductivity, target.permeability] # Create model vector and wires model = mkvc(model) wire_map = maps.Wires(("sigma", N), ("mu", N)) # Use combo maps to map from model to mesh sigma_map = active_sigma_map * wire_map.sigma mu_map = active_mu_map * wire_map.mu '''Simulation''' simulation = fdem.simulation.Simulation3DMagneticFluxDensity( mesh, survey=self.survey.survey, sigmaMap=sigma_map, muMap=mu_map, Solver=Solver ) '''Predict''' # Compute predicted data for your model. dpred = simulation.dpred(model) dpred = dpred * 1e9 # Data are organized by frequency, transmitter location, then by receiver. # We had nFreq transmitters and each transmitter had 2 receivers (real and # imaginary component). So first we will pick out the real and imaginary # data bx_real = dpred[0: len(dpred): 6] bx_imag = dpred[1: len(dpred): 6] bx_total = np.sqrt(np.square(bx_real) + np.square(bx_imag)) by_real = dpred[2: len(dpred): 6] by_imag = dpred[3: len(dpred): 6] by_total = np.sqrt(np.square(by_real) + np.square(by_imag)) bz_real = dpred[4: len(dpred): 6] bz_imag = dpred[5: len(dpred): 6] bz_total = np.sqrt(np.square(bz_real) + np.square(bz_imag)) mag_data = np.c_[mkvc(bx_total), mkvc(by_total), mkvc(bz_total)] if collection.SNR is not None: mag_data = self.mag_data_add_noise(mag_data, collection.SNR) data = np.c_[collection.receiver_location, mag_data] # data = (data, ) return data

这段代码是一个 Python 函数，它的作用是进行三维电磁正演模拟，并返回模拟得到的数据。函数中的参数包括一个 Survey 对象和一个 Target 对象，表示要模拟的测量参数和模拟目标。函数主要分为三个部分： ...

current_dir = os.path.dirname(os.path.realpath(file)) data_dir = os.path.join(current_dir, 'data') class Model(nn.Module): def init(self, template_path): super(Model, self).init() # set template mesh self.template_mesh = jr.Mesh.from_obj(template_path, dr_type='n3mr') self.vertices = (self.template_mesh.vertices * 0.5).stop_grad() self.faces = self.template_mesh.faces.stop_grad() self.textures = self.template_mesh.textures.stop_grad() # optimize for displacement map and center self.displace = jt.zeros(self.template_mesh.vertices.shape) self.center = jt.zeros((1, 1, 3)) # define Laplacian and flatten geometry constraints self.laplacian_loss = LaplacianLoss(self.vertices[0], self.faces[0]) self.flatten_loss = FlattenLoss(self.faces[0]) def execute(self, batch_size): base = jt.log(self.vertices.abs() / (1 - self.vertices.abs())) centroid = jt.tanh(self.center) vertices = (base + self.displace).sigmoid() * nn.sign(self.vertices) vertices = nn.relu(vertices) * (1 - centroid) - nn.relu(-vertices) * (centroid + 1) vertices = vertices + centroid # apply Laplacian and flatten geometry constraints laplacian_loss = self.laplacian_loss(vertices).mean() flatten_loss = self.flatten_loss(vertices).mean() return jr.Mesh(vertices.repeat(batch_size, 1, 1), self.faces.repeat(batch_size, 1, 1), dr_type='n3mr'), laplacian_loss, flatten_loss 在每行代码后添加注释

self.template_mesh = jr.Mesh.from_obj(template_path, dr_type='n3mr') self.vertices = (self.template_mesh.vertices * 0.5).stop_grad() # 顶点坐标 self.faces = self.template_mesh.faces.stop_grad() # ...

解释这段代码import jittor as jt from jittor import nn jt.flags.use_cuda = 1 import os import tqdm import numpy as np import imageio import argparse import jrender as jr from jrender import neg_iou_loss, LaplacianLoss, FlattenLoss current_dir = os.path.dirname(os.path.realpath(file)) data_dir = os.path.join(current_dir, 'data') class Model(nn.Module): def init(self, template_path): super(Model, self).init() # set template mesh self.template_mesh = jr.Mesh.from_obj(template_path, dr_type='n3mr') self.vertices = (self.template_mesh.vertices * 0.5).stop_grad() self.faces = self.template_mesh.faces.stop_grad() self.textures = self.template_mesh.textures.stop_grad() # optimize for displacement map and center self.displace = jt.zeros(self.template_mesh.vertices.shape) self.center = jt.zeros((1, 1, 3)) # define Laplacian and flatten geometry constraints self.laplacian_loss = LaplacianLoss(self.vertices[0], self.faces[0]) self.flatten_loss = FlattenLoss(self.faces[0]) def execute(self, batch_size): base = jt.log(self.vertices.abs() / (1 - self.vertices.abs())) centroid = jt.tanh(self.center) vertices = (base + self.displace).sigmoid() * nn.sign(self.vertices) vertices = nn.relu(vertices) * (1 - centroid) - nn.relu(-vertices) * (centroid + 1) vertices = vertices + centroid # apply Laplacian and flatten geometry constraints laplacian_loss = self.laplacian_loss(vertices).mean() flatten_loss = self.flatten_loss(vertices).mean() return jr.Mesh(vertices.repeat(batch_size, 1, 1), self.faces.repeat(batch_size, 1, 1), dr_type='n3mr'), laplacian_loss, flatten_loss

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3. 定义一个函数 f，它的输入为 x，输出为函数 (-58 * x - 3) / (7 * x ** 3 - 13 * x ** 2 - 21 * x - 12) 的平方根。 4. 调用 fixpt 函数，使用初始值 1.5 求解 f 的不动点，并将每次迭代的结果存储在 points 变量...

write me a Fluent UDF for the dynamic mesh to move 4mm in x direction within 0.1s then stop, use Define_CG_Motion macro.

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