From 62d820b64ffd6a73f086da698818c2b7864cfb51 Mon Sep 17 00:00:00 2001 From: vijay gopal chilkuri Date: Tue, 17 Mar 2020 10:57:10 +0100 Subject: [PATCH] Added image and updated readme. --- README.md | 10 ++++++++++ notebooks/graph.png | Bin 0 -> 339765 bytes notebooks/t_J_Model.ipynb | 13 +++++++++---- 3 files changed, 19 insertions(+), 4 deletions(-) create mode 100644 notebooks/graph.png diff --git a/README.md b/README.md index f488c9d..726a7ff 100644 --- a/README.md +++ b/README.md @@ -82,6 +82,16 @@ true # Restrict the hole to the 1'st (i.e. half of natom) Family of states. mpiexec -n [nprocs] ./ex1 inpfile ``` +_Sample Application_ +-------------------- + +A 2D t-J model Hamiltonian description and setup for using DEHam to solve for few low lying states +is provided in the notbooks folder. Please have a look about the details of using DEHam to study +t-J Hamiltonians. + +![4x4 Lattice](https://raw.githubusercontent.com/v1j4y/DEHam/master/notebook/graph.png) + + _Publications using this code_ ------------------------------- diff --git a/notebooks/graph.png b/notebooks/graph.png new file mode 100644 index 0000000000000000000000000000000000000000..d7e911a318cc23f51d0b2ce255af3aecc0a3cf13 GIT binary patch literal 339765 zcmeFacU0BcvMo%vc6-c?iYOA4AczPeB9d(-8c>udNkIffL~;(cfeeBmL4slc0YOlr z1X~Fb1QE#yN=A}^D4Rf zR!~t?Y)2fiobcJCYy^tmYN=vRrnWPcKiYlm( z{NGQ_J`b7km;22mRm@Hqoj0>QYobeKc-HL7B_p#-7qqup=$e>bFuKgg&CAWlwN>BD z?1~T%&tLCz8=2_wI8pIRP*H8Al9l*f!78M?p7$rJt*c(`ewE$c|8WVu>mQsQVL__+ zl7(KegF*}aHU921?XSK6@D}ftWedOKa#eWYHx8_-|7qcOv_G#|_>JF|ST6jA)27rV z3%`@|iece5wk|%(LWWt~m4&QAwRpf5Gz-ibVPyfMEQXbZj6$^-Ru(eLVpv(gDvM!d0i!I2m4%G57*-atikrZA!kiXhu^?K= zLW?10A*=i^6ht{C3@gb}Rt=;y@Ok{a{BO(J{!apvz<*MBocZ~m)FR9ONqMsPC4aN{ z+>cI+=9)9b-~L=YU4Jvi{Ev&yIB$x-{jeBT{$`B19~Z;QoF)GL=VDm-yEW#1UJNU9 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b/notebooks/t_J_Model.ipynb index a9259b6..d10d2f1 100644 --- a/notebooks/t_J_Model.ipynb +++ b/notebooks/t_J_Model.ipynb @@ -160,7 +160,7 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": 150, "metadata": {}, "outputs": [ { @@ -178,11 +178,14 @@ "import matplotlib as mplt\n", "import networkx as nx\n", "import numpy as np\n", + "import matplotlib.pyplot as plt\n", "\n", "Lx = 4\n", "Ly = 4\n", - "\n", - "draw2DLattice(Lx,Ly)" + "#fig = plt.figure()\n", + "#draw2DLattice(Lx,Ly,fig)\n", + "draw2DLattice(Lx,Ly)\n", + "#fig.savefig(\"/tmp/graph.png\",dpi=1000)" ] }, { @@ -291,7 +294,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 149, "metadata": { "jupyter": { "source_hidden": true @@ -364,6 +367,8 @@ " countcolor+=1\n", "\n", "\n", + "# nx.draw(G, pos=pos, labels=labelscenter, node_color=color_map, font_color=\"white\", ax=fig.add_subplot(111));\n", + "# nx.draw_networkx_edge_labels(G,pos,edge_labels=edgescenter,font_color=\"black\", ax=fig.add_subplot(111));\n", " nx.draw(G, pos=pos, labels=labelscenter, node_color=color_map, font_color=\"white\");\n", " nx.draw_networkx_edge_labels(G,pos,edge_labels=edgescenter,font_color=\"black\");\n" ]