[배경]
최근 머신러닝(ML)을 이용하여 분자 구조로부터 물성을 예측하는 연구가 활발히 이루어지고 있습니다. 분자 구조는 각 분자를 구성하는 원자들과 그 원자들의 연결을 형성하는 결합의 종류에 따라서 방대한 영역의 정보를 담아낼 수 있습니다.
분자들은 에너지를 받음에 따라 바닥 상태(ground state)에서 다양한 형태의 들뜬 상태(excited state)로 전이될 수 있으며, 들뜬 상태의 분자 구조 및 물성은 바닥 상태의 구조 및 물성과는 크게 차이가 발생합니다. 이러한 들뜬 상태의 분자 구조 및 물성은 분자의 흡광 스펙트럼(absorption spectrum) 및 발광 스펙트럼(emission spectrum)과 전자 이동도(electron mobility) 등 유기 반도체의 소자 성능과 크게 관련이 있는 것으로 알려져 있습니다.
따라서 머신러닝을 이용하여 들뜬 상태 분자의 물성 예측을 정확하게 할 수 있다면, 유기 반도체의 성능을 향상시킬 수 있는 유기전자재료의 연구 개발 시간과 비용을 크게 줄일 수 있어, 소재 연구에 큰 도움이 될 것으로 기대됩니다.
[주제]
주제1. 유기분자 구조로부터 Reorganization Energy를 예측하는 AI 알고리즘 개발
[설명]
유기 분자의 바닥상태(ground state)의 구조와 들뜬상태(excited state)의 구조로부터 reorganization energy(λg, λex)를 예측
(λg = E*g – Eg , λex = E*ex – Eex
Eg: Ground state energy in the ground state geometry
E*g: Ground state energy in the excited state geometry
Eex: Excited state energy in the excited state geometry
E*ex: Excited state energy in the ground state geometry)
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tn1RIi6myE8FopUqTQcFuEkPtQ3AIAuHhD3JD37cSJE1Ytic8gwHbhwoX1vvjxxx+tWkKIgeIWILz//vvakDVu3FjXwpH4zRdffKH3Q5kyZTS1DSEkIhS3AAF535544gkdhpo+fbpVS+IjK1askEcffVSHI9evX2/Vkthg3bp1mskcgagxr/nRRx9pBv1AesCE09Evv/yi6x8fNPXRjRs35MCBAzG+fkRbOnr0qPUqboj34nbnzh3ZvHmzbNu2zarxX+wD4uKGJfEPDEciPxvug2+//daqJbFBz549JUmSJPpZRy4tW7aUu3fvWlv6N1u2bNFzTpMmzQMJDB6kXnnlFenQoYNVEz3wMIZ7tlevXlZN3BDvxW3NmjWa96p8+fJWjf+CxbkmlQm85Ej8o3Pnzvr9I/8fF/fHHmPGjAkXsg8++EAWLVokf/31l7Rp00ZDnKF+8ODB1tYRceW1irYOD9PeAt+/Ow9q9LLA/v379XzTp08vx44d0zpXoI25du2a02to2rSpHqdr165WTUSwn7Prq1Gjhu43bNgwqyYisZVIN96LG75sPJ0h3NXx48etWv9lx44dkjZtWnnkkUdk8eLFVi2JDyDpKO5VDEdu3LjRqiXe5vLly5IrVy5tkJ3Fd23VqpUOC5tceRAZ9ErQ04MHa7Vq1bRBN85fGBlq3ry59l5Kly6t86WnT5/W9wBGjb766itt/E1vED0s1P38888qGgDDiqjbs2ePfPnll1KiRAmpXr26QwYRrInF3Dzs1a1bV/dLlCiRZotwJW4Qpf79++vQa758+fRhH4mTzQPUH3/8IXnz5tXPBHZxrUY8R44cqUuVsB96djjHixcv6nsYbXruued0PxxzwIAB4deIrBWIqFOgQAGpU6eO10MNxntxw5PKG2+8oR8+vBIDAROaC95y5gYjwY29dySztccueIjA54wHXlfTFRAn00hjuQ6CLWAfPHji/2TJksmZM2f0ISRr1qxalyNHDsmSJYv+XbJkyXDxGz58uNZBBEwvBg+u5jhGkAoWLKh1EJGnn35annzySX2NniSG/gC2NSIEMUMKreTJk+s2sO1K3CCWZh+IzWOPPaav69Wrp8KH//HaFATnxj3Zp08ffQ1fgPz58+uDF143a9ZMj1u2bNkI+xUrVkx7hch+kjBhQi3mfHGe8+bN0/28AR1KbPz000/64QZK1mJ4x7300kt6znhKIsHPJ598ot83hyNjH/R08Fmj92baJwz/QfRmzJgh8+fP12HK1atXaz3mv41oQXDQq0Ejffv2bXn11Ve1vl27dvogfenSpfCpBQxxAvS88BpxZM3DKsQKdfbLf8yx0G6iZwQhxD6ogzgB2MbrQoUKaTBtYIYTH3/8cafiBpE2AjN58mStQ+8QUx84Hu63kydPhp83eoO7du3Sa8fa2xYtWoQ7NsHZBttkz55drxdDovDoRR3aVzjGIW8lPieMQixfvlz3Q88Q25QqVcprc5kUNxsYS8eTB26IQOkJwYsLN0fSpEn1bxK8YLgGw0p4ssVvh8QuQ4YM0YY2T5484XNIaKfQYKMeBe0FelLovWDYEHE9UW8fAg0CgDrMddmnIJo7d67WI2wajj9p0iR9HZW4mV4QhioNjRo10rpOnTrpawwP4rV9PFpMZaDO1bAkRKhKlSq6Tbp06XSoE8OHmzZtsrYIw4jkZ599ZtWEARGFqKHeODuhZ2fa9po1a2rdoEGD9DUeCsz5YGgSDwyY48Q9jh6mt6aHKG428GSCpzR8uLgRAgX02nCT4GmHw5PBCZ5y8dCF75nDkXEDGlx83hAsZDYH6IWhJ/Pee+/p0BreR5tx5coVFbcMGTJoHRzUDIgNizoMN2I7A7ZBPXpSqJ8yZYq+xlyW+R2bfZ2Jm72ANmzYUOuwXAGYER17ZxeID+rczblhnq5ChQo6TIhtUfDgjDlH00Y3aNBA642QAvS4zJwahlDxQIC/kX4Jnxl4++23ta5v3776Gr1DvIYt6AD+x7AuhoHxmXvLc53iZmGegAYOHGjV+D/4UeEzxHl3797dqiXBBIau8P1iMt5ffivBDobO0EvG544eRWSM+OXOndtB3DZs2GBtFSYY6IngPXsX/AULFui2EEf03CZMmKCvIZqmp2jm/dADiixu6FUZjOAYcTM9N/sHIZwH6tyJG4AIQnh79OihTjFmHhHnC+A1itfw2AWYdzTziXCogTCbZQcQPIMRN6y1AxiKxGtcGx7e0PtFBwNzcfifw5Jexoz5wnsnkFi1apV6bqGsXbvWqiXBAIZr8FQLJ4VAWIcZLGAuyeTHw1AkGmP0QlAP4TOu7eidwLMSc19G3OynCFBvenkYskPDje1NY288MfE94zWGBDHXhe0wR2dsREfcMCcLEIoNrzHECbFC+wrvTtS5mnODQwyGIuFIsmTJEq2DMwwcYLAfhhxB/fr19TUeuCBEiGcK8cb0CEQRnw/WXmIbrMU1GIc9DJVCuLCgGz00iCeGZMHChQv1M4d3JYZJvQHFzQI3LbrhGAbAhx9IGE8nuBnH1poRErfgqdg0LkxlE/dgjqxo0aL6+aMBx28Lbu54iEQdCkLiwbkLTiKmp2c/LAngWILF03gPx8uZM6f+Dc9XIzRw1kAvBvVwtMB2pteE3paZg8KwJers59xMWD6z7hX3DbwpUQdhhB20tXiN1FnOFnFDqODdiG2wxAgiapZC4LohfgDr21CHzwA9xH379knFihW1LnPmzHreGJrEazyQmf0Q1QV1GHaEyz/afMy/oQ7XibyVsIvXrtbQeQLFzQLDAfhScSNjwjeQwHAAhyeDC+N6jZEEPBGTuAc9H/R6MPRm5qIgVGiMMaeF4TQAz0XMe8NBxFkPG0OVmBuD+z56NBhCxLHtQe+wUqVK2lNETwfDofCMhachelEAw4KwATd6A3qEqLMPno0HdWwLexBkbF+1alU9b/v1dfagZwpHGrSBeMDHMRGJxPQaAUQY4oQhRxwXQ7J4CKhVq5YKKc5/6tSp6kACgYWjHkACXfRW8bD27rvvhs8/jh49OtwePj/YN8Oy3oDiZocJRhuI7vWYgMbwAJ6c6D0Z2MC9GvchGtVDhw5ZtcRXQLww/I8hO7i2k+jhreFFT6G42YEeG3pu8Djy1qRmXIKnODSK9J4MXNB4mkl6OBoQQjyD4mYHxs4xdozxX+MCHEhgmMSMy3fp0sWqJYEChh/ffPNN/f4QPokEJ4ioj3bPn9q+YMSluMExATHD4NrpbfxV3IDxZPrtt9+smsACQ5IYmsRErXHhJYEBHAVw72Ey38yzkMAE7SfmoxB+C56AaEsx7YE5K4Tegrdg5MXQxLu4FDdMHqKBxAQqJgzhsok1Cd7An8XNRCfABHCgYkLwYEGl8Vgi/g2iNiCeH+ZN+VDi/5jeFxw04CEJp43vvvtOvQ7hEALPQbje43forCDCCcJWkdjDbc8NHlsmECYKvGSwxgFPIg8iSv4sblu3blVRh7eQfVSBQAIeRyacDtaOEP8Ga5+wxgjfV7du3axa4g9gqBiu+PB4RJJgLESG2z3iLKI9xPIh0z7aF8zdQ9wQjgpryOAOD/GDCMI5BcsAOC8eu7idc8MXi3QNWH0O10+sU8AXh6dLOF3gy/IkXJU/ixtuODx1IRSXcWUNRBDXziwspWOCf2PWGJUrVy48ZBGJWxBlBG7viOmI1DNw18dibbRRcFVHe2CEyxS0g1iHhnluDDdi2HHEiBG6tg1tHIYlKWC+I0YOJYhebRaWmoLFegj1EhO3T38WN4Do1bg2pJYJZPAjxXVggWggOsjEBzC3i+8IjSTWA5HYB70mBKM282CYZ8dIDYYKTbtmX+BkBgFDXMmOHTtq723OnDmye/duHeHiOkT/JEpxQ5ccoakQegUL9fBl4ykGwoRFgXiNmwJd7eji7+JmApliUWIggwcOzJfiWrAY2NfrTkhE0LtGw4nvx35hLvEOmFbAOkGsT4OzDtowhMNyNhcGJyw8BKL3jLBY/fr1UwGDQwiierAHFni4FDfEN0O8MqxyNzcAwregq46ozviyEbbFhGQxEZ+jg7+LG5wwUqVKpRP8rlb0BwqIhGBSdQR6TzSYQNgmRGHH92ISO5IHAx6mcMaBkMEhDPOYznpj8FREIGo4dCCXI2I74kED3wkJHlyKGxpFczNgDgrza4guHRnj5TV27FirJmr8XdwA0q3j2k3yvkAGT6DobWPyOyY9bBJ7YB0i7i+kszEp+Un0wXAg2iNkz0eQYcRAjNwjQxuD0SYk+Wzfvr1GfkGOMniCB2KQBhIzXIobfnAYj0bD6A7cZGgwTZy16BAI4mbSp5vI3YGO6WEjFTyXB/gWOPigR4FlNgyVFj0gRojbiKU66OmaaPv2BSNLEDLkG0M2bWSHDlSPZ/LguBQ33EyYMMUkNzwisZgbnpMo+BtPQKiHuMWUQBA3rF1BbweuvP56jjEBQy6YQ0QjEMhr+AIdDH+ZHoZ9QkniCD6rP//8UzNAI5o+vBPtxQzrOOHkgQdRPGBjtInepsTgUtwwfo0JVqRyMBEvIEgYgsR8FF7jPaRUwPqPmBAI4oaeaN68efU8IejBAFJUZMmSRRsGeFKSuAW9CJMpGQ02iQh+c3D+QOQOzImZ9CmmYF1ZkyZNZPjw4TodAvd9QlzhUtxwo0F8zI2FtR72Y9pwNMEyAPwNN2as6YgugSBuAD8kXB+GQoIFzFFgSAxr4IJFtAMFDHHjfsJ9z3m2MLBEBcO0yIRvHrxMgSMUUqTAcxGJMT0ZJSLxF5fiBt555x1d/zF79mx1h0WeIDzxQ9SQFgZDlsj5gxsxJq7MgSJuuCZcG9bBBBNYq4PrQow7zknEDchdhc8cv534/FCBNWFoRzAkiyDR9g/McHhCm4CchIiCFDnnGSExwaW4YU4NIWSwYDEymLOBFxLA/BtuTLjURpdAETcs9jRRCJAxIFjAcA4SIeJ7Q1ggxMkjsQdCN5lRDiShjI8glQ8EDUkz8ds3goaoR3h4RO8Mw+ZcEE28hUtxmzVrlt586JnZgwlbxC3EnBsWSMIrCdvFZHI8UMQNi56RKRbXF5XXaKABN2ozDETHhtgDc9cFCxbUzxmRb+ITWCOKIUeIlwkFh4KF6++//746ixw4cMDamhDv4lLcMIeGp0303mrXrq2LtH/44Ydwjzs8+SPIcPr06fU10qRHl0ARN4D1fbg+xJoLNpDpAenz4UIdyHE0/RV4HGPOCPdPxYoV48WcEYJ2z5w5U0cEsFga146CHhoihCDc2IULF6ytCYk93M65DRo0yMH9FgVP/MuWLZO1a9fq62rVqsVodX8giRti0EEAEGoMUVuCDaxlxHf4/PPP67wq8R6Yl8ZnCzf2mDhcBSIYdkQEHNNLRYFXNaLnYyg22K+f+B9uxQ1AwJDmpmbNmhqnEIuB4bkEMKSA4KMxzfMWSOIGhwu4ICM7N9bdBBsYZjYJWjEf4u/fR6CAiD1YJ4keCyLNByO4d7AMCKmx7N328btGCCxnEY0IiStcihtC1CD2GjwG0eB50+kgkMQN4MeLHy3W1wQj+K7z5cun14gwReTBgJhhqBefJ+akgw308DFNgXWgRtAwBPnBBx/oOjU+IBF/wKW4IQApblrMuXk7eHCgiRti0uGzwNKIYAXfSbp06fQ6Bw4caNWSmILhOROoGqMcwQRGbLCM5IknntDrQ0EYLHg64roJ8SdcihsS9yH0FOabMPSAiWJvEWjihvkCDEtiTU4wLQmIDLzX4AX76KOPasJFEjOwMBv3NBr9unXrBk2KIcyvwxkEvwFcG4IAIDvI3LlzGUmf+C0uxQ03Ldx1cTNjYhjpOcy8G3KDIXoH1oF5QqCJG1L7IM8TerFY0B7MwCMW33nWrFk9yrIeX8H8Exp8fHZlypQJ+MXxeJidOnWqennimlAQ6Llt27a6bo8Qf8eluCE6AOJImhvbWcFCb08INHEDPXr00GtG3Ltgp3HjxnqtSMcS6Pns4go4XeEzy5Url0bgCFTQ28RIDWI7mt85ohTh/qc3LQkkXIobkpEi6sjXX3+ta7169uwp33zzjb5GeBy852nqlEAUN0yUo+eGcw72oRh8J1ioj4YtvqzPehC6deumnxUi2QRqrwY9tWnTpmnKGCNquXPnll9//ZUpkkhA4lLcIoMGD8Nz3iAQxQ0hqxByDOe9Z88eqzZ4QY8NSWrRyMFb1JtzrsFE//799TPCKEegzlMiGpH98CO8ICFqjDtKApkoxQ1R5F9//XVd5IseG4Ilowf3IAuaIW5wXPhfiVJWTWDwUdMW+uMfOmSEVRPcYF3fs88+q9eM0FH/BYd/hNcYOniE7bNJICkeSyNzZs23agMHJEo1axxR0FMbOnS4hDJJNQkC3Iobhh7NjY+CuRiIHf5u1aqVx2vfMHSTMmUKKf5SThn+x3cyckLPCGXo79/KjIVj5PYdx+G/g0d3ysg/e8qIP3+IsA9ej/jje9lzYIu15X1Cbb/WOUt+1+Pa74OCupkubB04EtFW609rSe6iGaRWo3Jqa+9BR1t3Q+9EbeuuE1uHd4Rdg7PrspW9B7daW94nzNZvrm0tGit37jombzxouy53tvbZ2UISyIwZMup33uXr5jJmcq8I+6DA1iwXtvZHcV37Dm2ztrwPrmv2YtfXNWvROBe2tsfclu04sxePc2kL7zmzNX/xdCnwYhbJWTC1vFWnlIyf3k9GTegVbmu/E1s4TlS2cD6RwXmb49rvE27Ldt2RgS18Ts5s4Tvs9sPH8vDDD+n3iqULAwYMkMuXL8vJMwflt2l9bPe9K1uOTkZhtsa6ua7f9DuNDO4zc1z7ffS1G1u4r13Zwu/BmS38flzZQsHvLzL4neL36trW7y5sbdH2wZkttCdoVyITHVtoxyKzxxNbtrYO7asrW3Nd2bK1re5sHTzqGOTi9p2bUdga79TW7gObbdrgwpbtf2e2IuNS3LCwF95RWNOChajoucF7ElkAELEDYbnwtyesX79BMmfOIEXKp5H/vfGoFK78cITyQtkQqdO6hFy95uh2jy+5UKXEUrBiwgj7FKz0kBSokEAmzXbMvXbz1nVp3LGsHtd+HxTU1W39P6e28KO0t1X67VTyTvOc8kbTZ6R4taQyZc5Qa8v7/HPzmjTuEIWt65etre+DxgHX4HBdFW3XZaubMtcxuShsNepQxqWtem1elGvXHYeW5i/7UwpVdvIZWramzo3YM50zZ66kSp1C8pRKKq81zCJlaqaVoq89EsFW/bbObeEHi+OiRLYF+9PmjbS2vA+uq0H7l11eV/22peTaP462pi8cHWNb1/+5Kh+0K+3SFt6LbGvK5KmSu3BmKfd+BqlcP4u88l56KVIl7PMwtqbPd1y8jeNEZQvnExmcN47p/Loe0uuODGzhc8Jxca+WtX1nFetmlgp1bKVuBslRLKFkyJBOPv/8cw3ubMB5u7OF7zMy+N7x/bu6LnyX+E4jg/sM95ujrYS2353N1iLntnBfu7KF34MzW/j9uLKF3x1+f5HB7xS/V1e28Dt3asvWLqAtcn5dibVdiUyUtmztF9qxyEyeMyTmtmxtHdpXV7aadHzFqS20rWrL9nnZ72NszbEJVWSuXLsgdVq5s/WqzZbj1NSEWYMknwtb+H/uUkdbkXEpbljDgqc6k/KmVKlSUr16df3bZAKYMmWKvo4pGzb8LcmTJ5PipfOoWC1cMSlCmbf0D1m7eZHTp6LTZ4/KghUTZcHyCRH2MXXHTzl6qt27Fyobti7V49rvg4K6dZsXO7V1yomtt2q9KtlypJQevTvJidOHrC3vo7a2RGXL8Unl1Nkjzq9reVidp7YiPxUtXr9EBk3oL0tXTYuRrYkTJ0iWp1NJlmeSSd0m1WX52hmyaOXkcFvrndgCJ8/YrkuPO9GprZOnD1tb3gfXtd7Nda3fvERC73nHFo6zfssS17Zs79nbQlDgFI+llJAEIdKr32eycGXEfcJtnXlwWwacN47p/Lom6nVHJszWUlm5YaZuU6dRNcn6THJJ83giyZk/o3zRvZ3s2uX4VO+RLdv3ju/f9XUt1e80MrjPnNuy1dl+Cydtv4nIwBbua1e28HvwxBZ+f5HB7zR2bDl6nUZpy9Z+ObN1/PRBD2zd0fbVta1lzm3Z2lZzXPt9TN3ps45Lw9TWpqhsOaY5On7qgMx3YQv/nz4X9TI0l+KGgMEQsHbt2ulrrN0xSTtNglJPJ9ADdc4NfNM9LEtAt6++sWoChzt370ihOoXkhXdzWzUxY+yY3yVRgofl0aSPyW9j/7Bq4w8zZsyQFClS6PffpcvnATEHefDAEalTu75+bzjvShVfk0ULloowhR8JclyKG7wDTey49957Txf15siRIzyFB4YmYxow2RCI3pKG1atXa4SG/PnzB9ySgEGTB0lIrhAJeS5Efhj9g1UbNeihY/Eu8vchZQm+f0SuiU9huvAZGGHDUJ6/g/mzL7/8Mvyc4SyC3GpMTEviC24dSpCj7amnntIfh31BGCq4D3tKIIsbIlEghQk+h23bHJ0G/JUT507IU9Vs32Vu23doK49XeFwOHI9eosgGDRro9SLSPRgyZIj2vFEXkwzsgQpStiRNmlSvNxCEDYuwsQAf54u58S5dunj8IEpIoOJW3ABCbCEwKsJtwVsSjRme4B+EQBY3gGwJaDiQvyq2OXPxjPQa00vWbl9r1XhGu5/bScizNmErZJVnQqTpt02td92D7x7XiwDShtGjR2sPFvVY2B+sYM4ZqWtwnd9++61f93wOHz6skflxrijIpbZ+/XrrXULiF1GKmwFZhVEAfuAYkvM0MGygixvmXkzjEdtcvnZZ8r6bV4rUKyK3nCxXiA4bdm6QZMWTaXmo+ENaUpRMIQ8XfliWb4w6gzqC5uJ6sQzEHqRDMnm8MGyJXm2wgHvbJBvFECxc5f2ZyZMnh2cjwGgL0jM5m6gnJL7gVtz++usvnW9DWgtEqzD/I9suIhp4muYi0MXt+PHjmr8qffr0+rQc23Qd1FXnyeaviflC4dt3b0uVNlUk5MkQad+nvTxR5QnJVCGTfPbrZxKSPURebvqy3Lh1w9raOSaf3aRJk6ya+8B7MEOGDPp+7dq1gyKqBULPYZQC14QMCRiW9Fcwt9a6dWs9V5SGDRsyBiQhNlyK24ULFzRgqvnRRC6Yg/B0nVugixt6rsjths8hcm/G28BFuPrH1SUkY4g0+rqRVRt9Fq5bKCFPhEied/PIqfOn5PFKj0vaV9LK6fOnpWi9ohKSOUSmLp1qbe0cd+IGkK3dzENiyUggZyxHBB5kgMC1ZMuWTRYtWmS9438gcLkJkYa4lsGaTJcQT3ApbiZZKbwCMe+AXF8YhsK8C+Zb4D2Gp0ZPCHRxAyamYLNmzaya2AFDiilfTimFahWSVGVTyYmzJ6x3osfuQ7ulasuqMnfVXH2d5pU0krx0ch12W/L3EqnSvIps3L1R33MFemS4VndCDlHAchFsh+GxQIyzOH/+/PBwYxCNzZs3W+/4H/B8xOgBzhUR/JmeiJCIuBS3lStX6g8nNp4Gg0Hcdu7cqR6DTz75pA5jxRYd+nTQocRpy6dJ4uKJ5cexP1rvxJx/bv0TLm5XbzhGwnAFvCXhPIJ5HXegt48knbhv4KUXFw433gBCD0cp4xGJnIX+nOoH6WcwD4hzbdmypVy9Gv3vkpD4gktxg8MI0l9gDP9BgiQ7IxjEDQ0iMpWjgVmxYoVV612u37yu82MNv26ow5OF6xSWgrUL6mJsT/BU3NArQzbm6LqTI+GpydoMoUAmc38FuddM8GA8rEA4/BU8RH344Yd6rsmTJ49X6wwJiSkuxQ2ekZioxhM7hj0aNWqkQgdX4zp16uh7J07EbIjMEAziBr744gttaLp27WrVeJeRM0ZKyPMhMmlR2FzX10O/lpAcIbLs72Wyfud6ef+z96XLL13k5u2bMmL6CPl+1Pcya+Us6dS3k1z/535suPNXw0Tp1u1b4eJ27Z+wmHh4Lzbc2zEsiXik+HyefvrpCMsI/AFc88iRI3VeDeeI+WV/Hko9d+6cZsDHuSLe68KFC613CCHOcCluGJYx0Q2cFSTu9HROIljEbfHixfpZvPzyy17Pd4bGt91P7aRUo1Jy6WpYUOd9R/dJwVoFpVO/TlKodiEp37y8LszuNqSbbN23VV6o8YJkLJ9Rhk4bGr5MY+XmlZKudDrpNbaXvoYzCcQN/DrpV0lfKr3MWxM7jTq89owzCgoeivxhbgiOUMYhCAXDrljP6a9gXelLL72k5woR9jQDPiHxCZfiBmcR5G/79NNP5ZNPPpFOnTpJ586dwwuyc9tHE48JwSJuGKaDAwKuZft2x7QjDwLE7ezFs3Lx6kWrJowLVy6oYCUvlVwFq/uw7vLLn2HBrSu2rCiJiiXSbQzrdqyTkLwhkr5Mevl799+S7bVsKoCb926WrBWzas9w6cal1taxAwJtmx4Slk9g6O/ixYjXFRcgozR62alSpdJzQQi58eOjji7uS3bv3i0FChTQ88VDlD8P8RLiT7gUt9gkWMQNYLgWDc/gwYOtmtjn5q2b8mLDF+W9du9Jva71ZPW21TJx0UQpVq+YlGxYUufo7thlOWj9Y2sJyRYir7d/XYUt3avppManNbSucffGsTIsGRn0PuD8gM8KBUOW8MKNi3VxeAjr1auXZlKHbcwHIvi3p8PqcQWclhATEueMgAEQZ0JI9IggbpiwRnp5ROAAGNpCXjc0AqYBDA0N1TBETZs21cXMnhBM4maSt1apUsWqiRv2Ht0rnft0lr7j+6rjydjZY2XJhiVy/OxxnXs7f/m+88fxM8fV41LjShYOkQRFEmhvLlP5TFHGl8T3DnGAOHkjUDQcU/BZ2Ysc7qcDB6IX5zImoDeNeVETHxVD6TVr1tRkuf4OhvzRs8R5w+EFgcwJIdEngrhhng3DRpi4BnhSRFSSkiVLhnvKoYEzXoJbtzpmh44OwSRumOhPnTq1zk96KvZxwS8TfwnLCGBiS+YMkR/HRb2sACGc4N6PNVVYHuItEHi7UqVK4SKHMF5Ihos1lA/ihr9v3z4NlQVBMO7yKIi0s2TJEmsr/wa/K7PeDmIcDFFfCIlrHMQNEf+xaBeg14bIB/DOMvNrEDdEocCaIE/nmYy4lfxfSbl927uOGL4ADRAaIjTM/sqNmzd0KBOiBpErUb+E3HCSATcyELcKFSro9Xk7Wse///4nK1asVKcT3GdGiPCAVbbsK/Lll1/JpEmTZc3qtbJ71x45fPiI3qO4L48eOaqRUCC4SMPTpk0bfRBLkzpt+HGefTaHfPxxO1svyLNIOr4ADje5cuXS88cyCm8vwyEkvuAgblmyZNEndXDq1CkVNsxVmPF+I26Iufeg4laiRHG5dPmiTeBuOpRbtvKvk2yQ/9n+3b5zS9933OcfuetiDRgyE+P9yPuE7efC1n/RszVixAhtjBBgGHhuK+x9x328c12ITZmwgK03kzdE/lwwXkJD7zjZJ6ItiBvme0JCEsi8+XMdtjfFk+u69+/9rNMYlkTAgDfffNPBS/fhhx+SLFkzS44cz0iePLm18cdDmFlLZ19SpU4hdeq+L6NGj5DDR+5nZQ+9d0ezAjsD2Z29/n15YGvXrh3hc2x4YLp+PWw5R2zYwrH+i6Proi37fTyzhUJbYcWdLXucihsSkprXRtww/AYQ+d0b4pb80RTyTO5U0qB9CandsliE8n6LolLjowKy/5BjvrQb/1yVJp1elZrNCjns93rDXPLjoLDM4ZGZOGuQVPsgh8M+7mxdv3FFmnR8xYWt56X34A663Z49e7RBRkLXW//ckZmLRruwVUTetdk6cNjRHf7a9cvSuGPZKG1FZsKMX13balZQDhzZaW0ZRo1P35VSjf4nzT6toNtE3g+2fhrS0dr6vrglTfKYfNj2HanV0vH8XNkCV69fkkYdyri8rp+HfmJtGQbmeXGvde/dVopVTiFl335CXn7jcXnpzcySv3SYl2OiR0LkmeeeDA/gjbWXffr0lXkLZstbjfJL7VbFpOUXFaVhh9K2v4vra2e2DOOnD3D5GeK8Dx7dbW15nyvXLkrD9rbrau78uvoO+9TaMiLObNX/uKQ06viS2sL1Vav6eoQ5tstXz9t+Jy/H2NZv0/o5va5atut6z3asI8f3Wlvex72tnNJvRGdry4h4YuvSlXPSoJ3tumNoa9zUvlLdla0WheXoCceA7lHZ6j/yM2vLiIyd/HOMbV28fE4++Li0Xnfk/V5vkFN+GeU8J6A7W7Vsto6ddJyX9tTWmEm9bbaec9jHna0Ll87a7tVSrm2Ndr7e172tInL8lKOt85fOSL22L8bYlj1uhyUx1g8Xboz/m6dIAJfkBx2WTP5oSsmeO6XtwypmuwD8AO6Xms0Ky9tN88o+F+LWqENZqfFhfof9qtk+wF4D21pbRmTCzIFSpV52h33c2YK4NbI1YM5t5QgXUjTIiOaChmn1qnUye8kYea3eMw77oPF6x2Zr/2HHzw3i1tDWqERlKzJ/Tv/FxXXZbH2YzyY4EYX0yKmjsmHHWmneuZJrW4PbW1tHFLembd+2NQ6O+7iyBSBuaFRc2eptJ6T2TJs/XN5q+oJt31JaGnUqLW/WLygPPZRAUqR5WNauXyk3bkQcVg3997Z81Lm87diF9EcTXVu/2xpmV58hzvvgUcdA0BA3NCo1PnK8rqo2Wz8P7WRtGZHItuq2KWGzUUBerZFNildJI7XqviWXLkaM2QrBQaOChzB7OyjubI2b2sfldeEh68jxPdaW93Fv61npM9y5kHpiC4JT39aAxdTW2Ck/235fLmzZHrKOnthnbXmfqGz1HdHF2jIiaJhjauvi5bNSr01Jve7I+1Wt/6z0H+FcSN3ZqmmzdeykMyH1zNaoiT+6bKNc2bpgE5y6bf7n0taAkc6F1L2tQnLciZCev3Ra6rQuEWNb9jiIG2Il5s2bV7MtIwkl1gSlS5dOvvnmGw338+OPP+o2KVOm9Mqw5MVL5+XmrRtOi1mIbA+6q7du/eN0+39uXpc7LnKeoRuL953th/Kgtnr27Knihrmff/+7F6u27PHkuoCzbVEi28LidETJh6fhkiWLne5jiqvruunuuu46zwHn7Lo2/L1OEtrO49kczzqN5+lNW/Yltq7rzt1bcu78GalUOWxOs3yFVzU+Z2TCbDnaQYmd63K+fcDYcjHM5WxblHhp625w2rLHQdwwDIkfWlQFse0e1FsSDiV3bt+fdwlktm3bpp8LXNvv3AmOawKYY4WjBq5t5QrveUt6wrFjx6Vy5crSqFFjh15boNKoYVjeuAIFCsrxYyesWkLIgxJB3BA1okaNGpruwyQnLV68uBaTqNT8j0YGQWc9wYhbMCwFMGAuEp8LYnEuXx51dutAATFGu3XrpvOwmFsk3qNdu3YqbEgRhEgkhBDvEUHcMHSAiWyE3sJ8m6uC95FmA/MxnhCM4gYQ2gmN1VdffWXVEOIcZE7AvYJlD2vWrLFqCSHeIoK4xRXBKm4IpJwoUSK9LvTkCHHG2LFjtYePoX0sZieEeB+KmxeBk0POnDnV+cLT+UgS3CBKilnHB6ctQkjsQHHzMiY48Pfff2/VEBIGoo8Yh60vv/zSqiWExAYUNy8zf/58bbyQf8vTOUniHMz3Dh06VIf1Ai0sFRamFyoUtkgbmSQIIbELxc3LIMA0Fr4jgkswDE1i7rB///7qMenrlCt79+7V+wZRdEzEnEAAyylMFm3E6XS2Ro8Q4l0obrHAhx9+qA0ZRCHQQW8JqVcQYR9r+XzJ/v37JW3atDqvabJUBALIHYf7AXEjkZ2cEBL7UNxigQkTJmhjhriHgT40iSUf+fLl05Q0mDPyJYEobsiPiHsB571u3TqrlhAS21DcYgE0vMh/hqj1sZGEMy6BuOXPn1/d1iluMWPevHmSJEkSdfvHAw8hJO6guMUSderU0Sf2fv36WTWBCcStQIECKm6exhL1FoEkbsg1ZzKAY8E2ISRuobjFEpMnTw4fmnQWNDZQwJwb5oqwNsvXIaIgbgjknSNHDr8WN3xmpUuX1u+/YcOG9JolxAdQ3GIJZItG+iA0xoEck/HSpUsa+xDi5ush1n379mk2CuQX9Fdxw4MMBA3CVrJkSQ1VRwiJeyhusUi9evW0kQvkSBQQN2Q6QAxEX4sbcgrOmDFD1xIiFY8/0qtXL/3OsVgbQ5OEEN9AcYtFxo8frw0dMigEKqGhobJ27VpZuXJlwC2cjmvmzJmj9zXKzJkzrVpCiC+guMUiSDyZIUMG9ZrEfBEJXjBkakJrIXEtIcS3UNximQYNGmiD9/PPP1s1JNjAcGnZsmX1e4aXLCHE91DcYpnp06dro1euXDlN/EmCj1atWul3XKRIkYBYf0dIfIDiFssgBuLTTz+tsSZ9Hb4q0DHJdFH+++8/q9a3jBgxQoUN6+82bdpk1RJCfA3FLQ5o2rSpNoC9e/e2agIHrNHCsoYTJ074fL0W4jLinoGDDrw4fQ3CaaVOnVrz98F5iBDiP1Dc4gB40UHcihcvHnALui9evChFixaVggULyunTp61a34CsAEmTJtWsC77OCgBnIXwm+F47depk1RJC/AWKWxyAFCdYeIwYg4EWPBdzSPD4xGL048ePW7W+wV/Cb+EBxaxhLF++PJdIEOKHUNziiM6dO2tj+Nlnn1k1gQFyuCEIdObMmeXMmTNWrW/wF3FDvFB8l5hL5RIPQvwTilscgUXQ6LnlzZtXgxEHChiKhKBkzZpVh+J8iT+I2/Lly9U5CN/l7NmzrVpCiL9BcYsjkNG6WLFi+sS/dOlSq9b/objdB041uXLl0u+we/fuVi0hxB+huMUh3377rTaMzZs3t2r8H38SN0QB8ZVDCdYovvPOO/r9vfXWW1yzSIifQ3GLQ3bu3CmJEiXSME2+ForogmUAGIJDVgBfznMB9JyqVKkitWrV0rQycYl5MEGv0deONYSQqKG4xSFYJ4bGGY1koKyLQsqW+vXrS5MmTXTxtK/B4u24XsCNuTXcr8mSJQuoIWVC4jMUtzjGRLSoUaOG30TZIK45fPiwLuPAd9anTx+rlhDi71Dc4phTp05JxowZJXny5D7Pj0bcAyegqlWrqrBhXVsgZ1QnJL5BcfMBH3zwgTaYP/30k1VD/JGvvvpKv6d8+fL5PCIKISRmUNx8ADJJo9FEOC5/zSgd35k1a5bm4Xvsscd0jSIhJLCguPkALOLOkyePek5iUTCJHvCQHDlypPz+++9y69Ytq9b7HDp0SJ566il9AOnfv79VSwgJJChuPqJbt27aeLZu3dqq8U/gLdm1a1cNOeVrBxgETsZ9kyVLllgbJrSfZ6tbty6dfggJUChuPgJr3hDGCc4liN/or8BbEA39k08+6fOUN3ERocTMs+XPn9/nWRAIIZ5DcfMh1apV04YUywP8lSNHjug5Pvfcc0EvbjNmzNAF6/BkXb16tVVLCAlEKG4+ZOLEiSocSJsSGhpq1foXRtwgKMEsbpxnIyS4oLj5EITgevbZZyVx4sR+m+ctPogbPFYrVaqk14l5Nq5nIyTwobj5GJPnrX379laNf4EeDc4P0fB97VwBcUPS1Bw5cnhV3L744gu9RsyzxdZcHiEkbqG4+Zjt27freio4lvhjMGVEUTHi5muQFQABnLNnz+41EZo+fbokTJhQ17OtWbPGqiWEBDoUNz/g9ddfVwEZNGiQVeM/HDx4UBIkSKBJVn3N9evXZerUqRrIGC77DwrEEssK8NkPHDjQqiWEBAMUNz8ADTYa2NKlS/tdnrCbN2/KwoULZe3atVZNcABxfPXVV/Vzb9SokVVLCAkWKG5+ACKWvPDCCxqxhClV4oaOHTuqsBUuXFguXbpk1RJCggWKm59gkmEi+jyJXSZMmKCfdZo0aWTjxo1WLSEkmKC4+QlHjx6VlClT6gJihJkiscOuXbvUeQfi5s+L5wkhDwbFzY9o1qyZNrqI5UgcwfozOJXcuHHDo2UJyCT+0ksv6WeMz5oQErxQ3PwIhHxC+Ccs7PaX9VZwcDl27Jhf5DNDrMeyZctKuXLlPPp82rZtq8L24osv6jwnISR4obj5EYgAUqFCBW2Ahw8fbtX6lj179sjjjz8u1atXt2p8hxm6TZcunWY0jwljx47VzxX7btmyxaolhAQrFDc/Y8qUKdoIw4vPHxKZbtu2Tc8H0Tt8DXqQENps2bLFKGL/hg0b1HkE6/WQC44QEvxQ3PwMrL+CsEFQsP7N12zatEnPBUN5vsYTccPwpfk84f5PCIkfUNz8kGHDhmljXLlyZZ8H8UVAZ5xLmTJlrBrfEVNxw2eHQMg4f2Re4L1GSPyB4uaHXLlyRYMDI+bhypUrrVrfEMji9uOPP+q5I5UNwogRQuIPFDc/pXfv3tow16hRw6rxDf4kbnAoSZ06taRPnz5Kh5J58+ZJ0qRJJUmSJDJnzhyrlhASX6C4+SnomaCHgs/Jl1mhYRviVqRIEavGd5w5c0aqVq0qb7zxhtsMCshkYBKP9uzZ06olhMQnKG5+TPfu3bWBrlOnjlUT9yBaCgSlS5cuVo1vwXIJd/OQWOSN+TV8bphv83UOOkKIb6C4+TEnT56UzJkza6ZuuLP7ikASCLNQu2jRon6x8JwQ4hsobn4OQnGhsa5du7ZVQ1wxdOhQ/aywUBtLGAgh8ReKm58DJwr03vB5wbmDOGfJkiWSLFky9TD9888/rVpCSHyF4hYAfPXVV9ojeeedd6waYs+hQ4cke/bs+hnhsyKEEIpbAAAvwSxZsmj4qBUrVli18Q84i4wbN05DaJn7Bv+/8sorKmw1a9aU0NBQrSeExG8obgGCWZBcrVq1OI1asn//fp33mzRpklXjOzBEmyJFCo0TabICNGnSRD8XLFW4ePGi1hFCCMUtQIDnX86cObUhnzFjhlUb+8ycOTNcVH0NIpRg/hFr2JDTrV+/fnpumTJlku3bt1tbEUIIxS2gMDEnCxUqJDdv3rRqY5fZs2erzbffftuq8R0m/BZEvk+fPhp9BAUCTAgh9lDcAghkDEB0fojNgAEDrNrYxaTg8eVCcgPE7emnn1avSIhaXH4OhJDAwufidvMmxS0mIGYiGnUMzZ04ccKqjT0mT56s9urVq2fV+I6Tp05qQGmcD0qHDh2sdwghJCK+FbeSJeTOvdtWLYku7733njbuLVu1tGpij3Bxq+t7cduxe7ukSZdKzwefAXqyhBDiDJ+J2yOPJpaiz74is/psljm/bJZZ/TfdL/02yoyf/5ZLp29Ye9zn7q17Mn/IVpnR5++I+9jK1F7rZcPMA9aWEdm75pRM6bnOYR/3tkJl/mA3tmZ5YMt2rMtnHHurd27C1pZo2dqzZ49Gx0+aLIkM7fmHLBy4y7bdxoj7GVtnY27r79n308PASxJi0rDJB3J443mZ1muDwz5R2Zo3KHq27Nmz+qT1GW6UOQM2y/yB2+TLeoOkUMrXpNTj78q+HYetLe/jqa3dq4ytiPuY67ri5Lpu/+Pe1sY5Hto659zW3IFbZGbfmNna9dcJl7ZwrKvnHOdto7K1ae4ha8uIeGTrxl3PbK2MwtZ5D2zNc7yfwM4VMbd167rN1q+bXdraPN8DW7Zy7YI3bR33yNYcd7YWxMwW7MDetQu3rC3vc/PaHY9s2eMzcUuaMrEUSPGafPz8H/LhM0MilKbZB0vDrAPl4Kaz1h73uXH5tnxcaJQ0yjbIYb866QbIL03mWVtGZPpPG+T91P0c9nFn6/ql29K2oGtbvzadb20ZEXe2Gj0xUA5tdox5eP3iTWlTYKQ0jqYtRLuH6BRKWU0+zT/VYZ+mT4fZOrw1prb6y8CPFlhb3u+5NW/TVOb9sk3qpBngsI87W/iRtM7vwlba/jKo2X1b9uAGxmfYLMcwaZtnrLR8fqT+3TrXaGn1/Fg5ufuKteV9PLU1+Yd1zr8vXJftWEe2hS07sOfq+X+kdb4RLm0NbrHQ2jIi7mzhWEe3O9qC4LXKY7P1ZMxsTfp+rWtbtmMd2+mYWSEqW0NaLrK2jIhHts7ekJa5Y25rYg/Xtpo8NUiO73ZcEhKVraGtF1tbRmTCN2tibOvyGZutF4Y7tVXbZmtYG09sDZYTe7xn68/uq2Ns69Kp69Iil2tbw9stsbaMiCtbTWy2YO/kvkvWlve5eNJm6/lhMbZlj+96bkkTS7Hny8iyMbvkrz/2yIrfd9uVXbJs3E6nT0Whd+7J6kl7be/virTPblkyaofsWH7c2jIiR2wN7+KR2x32cWvr9j1Z5cbWTo9s7XL6VHTX2PoterbgCl+kaCFJHpJB2r3zg/w9/WiEfZYbWzYhi0yUtmxPWgYsIEc+tN37dtoa3guyeJTjdbm1Zetpr5q4x6WtXSudf4aHt5yTpaN3ytpJB6TeK+0lR9KSUjlvPZk7dIOs+mOvTaAdn/Y8tXVoy1mn35e5Lme2cB+6tWXryTjDrS3bsa5fcrSFHulfE/bI8pja2uzaFo51wwNbu/3AFh5E3dq67IGtVS5sbYy5rduw9adzW4sfyJbjMLznts7E3JatV//Xn7ZtnNraLrtXn7S2jIhbW7byzxVntu56ZMse3865vVhCQv/jvImnLF68WBIkCpH0mdLI/kN7rdrgYtDQXyVR4hAdxp46Y7JV6zuunLori3927OUTQvwL34oblwI8MB9//LEOG1aoUEHu3r1r1QYHo0aN0pBjiR9OLGPGjLFqfcusbqekQcL1snPBVauGEOKPUNwCnMuXL0uePHlU4LCwOViYOnVq+Fq2X3/91ar1Lef235b2GbbIeyFrpFfpPRJ6m4lQCfFXKG5BwIIFC1QIEHNxzZo1Vm3gMnfuXPUGhbD16NHDqg1Lmor7BcUXCVRH1T8sdUPWSZOQv+WDkPWyYrCj8wchxD+guAUJn3/+uYpBwYIF5cIFR880T0GYLywWv3btmlUTu2CReqpUYWvZunTpYtWGgcDIlStXljJlysjp06et2rhh98Kr0iTR39LAJmof2sStjk3kujyzTS6fuGNtQQjxJyhuQQJEqGLFiioKjRo18lrmgPHjx2u6nW+++caqiT2QcDR9+vR6DR07dnToncFzE+8/+uijmiEgrrhz81/p+eIeFbbWyTdL45AN8nGaLdqLm9TeuTca+O/f/+TI+iNyYqvrbQghsQPFLYjA4u5s2bKpOHhr/m3gwIF6vNatW1s1scOiRYskY8aMLoUNnD17VsOOQeAQZzKuWPbLOXkvZK30r7xfhtY6pHNu0z4/KZ0e3yofPbpRDq91DAAAcA1/tv1TOjzeQS4eZToeQuISiluQMX36dEmcOLE88sgjXkmNM2TIEBWcdu3aWTXeB+eZNm1at8IGfCFut6/fk0+zbZPatl7akQ03ZGL74/JmyCrZMe+qLO57VqqF/CXD3ncdLWHP0j3yQcgHMqNr3KUpIoRQ3IKSn3/+WYUCuc82b95s1XpGbIvbb7/9psOMsNG5c2er1jm+ELd7d/+T8S2OytRPw4YWx310VN6widu2mVck9M5/Mvi9g7J0gGNkFsPmaZvl/ZD3pWuurnLziuMid0JI7EBxC0LQ82nVqpUKBpYJ7Nu3z3on5sSmuA0ePFjvAxzf3ivSFb4alrRnTOMjKm4bJziGDHLA1gEdUnOItEzbUhqHNJatM7dabxBCYhuKW5CCz/XNN99U4ShWrJgcP+489FRUmGzXUfWqYgIWm3/22Wd63ESJEkn//v2td9wDhxLMyyVPnjxOHUrsCRe3iVGL27n956RF0hYy/fPp8lXur+SX6r9Y7xBCYhuKWxCDBd6IXAIRKV26tEcC98MPP+j+7du3t2oeDJwTcsPhmClTplRvzOhy6dIlef311/WaIHS+ICY9t5ndZkrzJM3VmWRal2nS7OFmcnYfQ3cREhdQ3IIciMBLL72kYoIeXEyHKKdNmyaVKlWS0aNHWzWes2PHDnn55Zf1XLJnzy7Lly+33ok+oaGhWuKKf+/9J4v7nZVVw8PWDo5tGiZuW6Zfln9D/5PZX5+SrTMcMxTcunZLPnvmM+n1ci99vW/ZPqkXUk9md5+tr9ePXy9rx62VTZM3UfAIiQUobvEACJxZA/fcc8/JqlWrrHeihzfWzI0dO1bnynAOWIS9d29gBHq+dfWetEu3RSOSnNt3Wya0C/OW3LXwqk2cLkr1kL9k4FuO+dR2LtgpHyX5SJb9ukxf37tzT74p8I30eqmXLPhxgXR5uosMenuQtEjSQlaPWq3bEEK8B8UtnoCoJe+++66KC0QGXopxwfnz56VNmzZqF6VZs2YaaSRg+E9kRteTUiNkjYyse0hGNzwsNW1/L+h1Rrrm2iENEq2X7bMde27nD52XnfN3ag/OcGrnKdm1aJd8V/w7WfhTWA62HsV6yKqRMXvYIIREDcUtHnH79u3wLAIoWFN29WrsRbdH8ON8+fKpLYTUGjZsmPVOYHH9fKh0zb1DmiTaIO3Tb5FGIRvk0ye2ST1bb25kvagzAkdmfMvx0qdiH1kzeo18kvUTWffbOusdQoi3oLjFQ0aMGKFBliE6JUqU0EDF3gRzaw0bNgwXUcSDxHceyKz77aIOTTa0CRtiS0LY2mXcImf2OCarjIqz+8/KoBqDZHCNwTovh3k3Qoh3objFU9auXatzX0aAIEabNj1YIwtnlQ4dOkiKFCn0mFhEPmDAAK/lmbt165ZMmDBBfv/9d81EHpf8969o+C2TFaCe7f+5PTwL3rxx0kbplqeb/FT+J+mWr5uc2e0bz09CghmKWzwGwZb79u0rmTJlUjF66KGHpE6dOppCB+8BRDj58ssvZf369fo6MhjqXLFihS4aT5cunR4Hob9atGjhdacRXwVONhxae0NaPLZJ3g9ZK90L7JJbVz1ztLlx8YasG7dOFv+yWA6tOWTVEkK8iW/FreT/5NZthiTyNUePHZHPPu8i2Z58IrwnB69KpNF555139DWcQg4dPiTbd2yTZcuXythxY6VN29aSN18eSZAwbJ/HHksuTZo0eeCQX644f+GcnmPadGl8FqFkfPOjUjvBWlvvKxoRSgghPsPnPbcb128I4uQiPUjk4gpn24YXF7u5smGKK5xtG15cGAskW/YcOHBQevXsJUWLFtNenBE6FPSWsj2RTbI8nsXWMwvLkB1WEkiePHnlm+7fypYtW6wjRcT+fByKi1N0uC7ba/Tcnn7qacmQPoNLcYuwT+QSXVuRij2n99ySyR1OyL07tvdsOzrbXosLYzGxZY+zbcNLnNqyNopE4Ntyvh9tRcTZtuHFxW4e27Lt6Gx7La53C8dn4pYkeWIp/ER5GdF6pQxvu0SGtl58v7RaJIOaLZCzhx09+W7/c1fGfLpcBjVfGHEfWxnQeJ7MH+K8gf179kHp33Cuwz5ubd24K6M/cW1rwRDnsQLd2rId69wRR1u3rt+x2Vomg1vEzNaGmc5tDTG2jkbTVpvFMu6T1TKq7V8yb/Bm2bJ1i8Z7LFCggIpY+oxppcgTFaRc2o+kfKamUilLc6n4+EfSuHgP6d90tozruFpuXnQcprt17Y6M6uT6uhYO22ZtGZENMw9EuC7cIwM+miM1X+gsbz3bUY7tdVz47KmtddP3u/0Mzx9zfh+O6rjUpa1FI2JuC8c6f9wxKew/V+/IyA4xt7V2mntbFzywtXjkdmvLiHhm67Zntqa6tjWk5UK5eOK6teV93NpqZLM1aoe1ZUTWTNkXY1s3rtyWEe1d21oy2hNbi+TiSe/ZWj15b8xtXbbZarfEha25smSMB7Zs5dIpx/nz65dueWTLHp+JW9IUiaVgqiryScFJ0jrvSGmdZ0R4aZV7uDTLMVQObXGMtv6P7cv85MVx0iznsAj7oDTKNkg/DGfM7r9RGmT51WEfd7bwZX5S0rUt3ATOcGvruaFyZOt5a8v73LB9mZ3+N06ax9DWrL7ObbV8wbK1PWa2Gj85SEa2ux855Ntvv1Vx69X3O5k/aLu0yzNeuvxvYnj5pNgf8nH+MdLi+eFObV2/eEs6lhjr/LqeGCjD2i62tozIzD5/R7wu3CO20jbfaGmde5Qc2+mYbdxTW9N/2uD6M7Qd69gOR1vXLtyUjsXHuLQ13PbDdIY7WzjWcSfXdfX8TelQFJ9xzGxN673epS0c68Rux/WGUdlCQ+oMj2yd+0fae2Brai83tnINk5N7HIeMo7I1smPYYvvITPlhXYxtXTlrs1XYua2GNlt4AHOGe1vD5eRe79ma/P3aGNu6fOaGtCs02qWt0bZOhzNc2WphswV7p/dftra8z6XTsDUqxrbs8Zm4PZIksRTPV1q2Lz8m+9adlr1rTkUoe1aflJvXHb3s7oX+K/s3nNb3I++z668TcmKP8wXCF45dk50rjjvsg+KprZMe2rrlRVvnXdjagwJbtt5nZKK0ZXdjf/HFFypuAwf/KjcuhMbc1l2brfXRs2UPekv2tnCPrJ27UwpnLyMvZC4uxw45Zrf21BZ6t55c1z53tvZ5z1YobNmu3yNbK13bwshEZKKydcqrtu55ZutIFLZsverIuLW10rWts57YuhOFrf0e2FoDW45h5zy3dcVDW2HXHXm/XbZjnXIiUsC1rZNq744Xbdnj2zm3F0tI6H+3rVrij8CpBOLWu3dvq8Z3XLp6QTJkTiuPPpZEjh7zTVYAQkhg4HOHEi4F8G+MuP30009Wje/AOrdJkybJH3/8Eefr3AghgQXFjbgFa9VmzJghhw/HPMwUIYT4CoobIYSQoIPiRgghJOiguBFCCAk6KG4kYEDEAjiVoLiKvEAIIYDiRtxy7do1OXXqlAqKr0GS06pVq0q5cuU0FBchhLiC4kbc0rVrV8maNasmHvU1JitA0qRJfZIVgBASOFDciFsQ5R/r3EaOHGnV+I6zZ8/KU089pQLnq6wAhJDAgOJG3NK8eXMVtzFjxlg1voPiRgiJLhQ34haKGyEkEKG4EbdQ3AghgQjFjbilYcOGKm4TJkywanwHHEoyZcokyZMnp0MJIcQtFDfilnfffVfFbfz48VaN7zBLAV599VUuBSCEuIXiRtzy448/Svny5WXlypVWje/Awu07d+7I7du3uYibEOIWihtxC0QkNDSUYkIICSgoboQQQoIOihshhJCgg+JGCCEk6KC4kYABziTTpk1Tz83r169btYQQ4gjFjbhl8uTJ0q1bN79YNH358mXJli2bJEyYUA4ePGjVEkKIIxQ34paKFSvqOrclS5ZYNb7jypUr8txzz+ki7kOHDlm1hBDiCMWNuAWLpiFuS5cutWp8B8QtZ86c8thjj1HcCCFuobgRt1SrVk3FbdmyZVaN76C4ERL/mDJligaTQGzZmEBxI26pXr06e26EEJ9w9+5dDbeHNuj555+XUaNGaV108Jm4JU6cWEqVKmXVEH/F9Nw2btxo1fiOe/fuSa5cuSRFihQxfoojhAQme/bskVq1amk7hPLaa69FKxygz8QtSZIkki9fPlmzZo1s3ryZxU9LsWLF9IYaN26c0/fjsuCGRsqbZMmSyaxZs5xuw8LCElxl9+7dsmHDBunUqZMkTZpU2yOM3rRp00aOHDliqYojPhG3devWyUMPPRSuxCwsLCwsLDEtGTJkkD///NNSloj4RNz27t2rw10vv/yylC5dmsWPC76jMmXKyEsvveT0fRS85+79mJSojoXz4X3DwhJ/Cn7vWJKEvx955JFwYXv00UelUaNGsmPHDktZIuITcSOEEEKiC4YmP/jgg3Bhg9hF5cFNcSMPBHKrjRw5UubOnWvVPBi4YYcNG6aekYSQ+A1SbfXp0yd8rg1BHNA+IBRfVFDciMdA0DBkgJuuUKFCD7ys499//5UqVaqEHw+hvwgh8Rd4SL/xxhvqgAiHkhMnTljvRA3FjcSYXbt2SYMGDcKdgsqWLSsrVqyw3n0w4B1llh+gvPvuu7Jp0ybrXUJIfOPUqVOyb98+61X0obiRaIPAxd999508/vjjKjwQt5YtW8qWLVvkzJkzcvjwYV1c/SDl9OnTOr7epUsXnTCGnXTp0snnn3/OtW2EkGhDcSPRYsGCBRohwPSoTMFi/Mh13ig4boIECSLUPfnkkzJx4kTrjAghxDUUNxIttm/fLu+9914EMUPPDQvxixQpInny5JHcuXM/cMFxChcuLAULFozg9otSqVIlWbVqlXVGhBDiGoobiRHz5s3TdW9GcDD3hjk4b3L06FGNPmCEFGLnaqEmIYQ4g+JGYgy8Ivv376/DhBCf1KlT62t4Oz4ov/32W/icXsaMGeWbb77RuT5CCIkJFDfiMXAgad26tQqRNzI8YE3L22+/rcerX7++7Ny503qHEEJiBsWNPDAIhI3I3ZFZuHChroWDaEUXCCaCpBJCyINAcSOxAhxQ0AND+euvv6xaQgiJGyhuJFbo3LlzuLh99NFHVu19IHiDBg2S9evXq5MKlhoQ4mswFP7DDz+oZ3CNGjWkR48efjM8fvz4cU3WOXPmTB0NQQiqqVOnal1srQE9ePCg3Lp1y3oVWFDciNe5ePGiPP300/LWW29ptBEswrYPmzNkyBB180dBZm0IYLly5ax3CfEN8MjNlClT+EOZKZkzZ5bZs2dbW/mOKVOm6Pk888wzGpbq/PnzGpYKdd5+OLx27ZoGaHjllVcCNs4rxY14HcSExA9u0aJFMm3aNP176NCh+h6eMOENifVx+HFOmjRJF2tDCAnxFcgxmSpVKr1Xa9asqfflhAkTNPo86uARfODAAWtr34A5bJwL4q4iYPnNmzc1qPBnn33mNmmnJ+C3C1t58+aN0Zy5P0FxI16natWqKmD48V2/fl17bvCmBMjlhx8NwmuBGzduSLZs2TRgMiG+wqRTee211yIsabl69aoULVpUe3Tjx4+3asNGJzBkWaJECcmfP796DSNsXGTgUIX4qBAJCOXo0aO112WAiHbv3l3WrFkjH374obz44ouyZMkSfQ8xVWvXrq3Hb9u2rfz666/h4oahwrt376oADxgwQMPfAezbrVs3jdH6+++/S6lSpfQce/fuHSGSPn6HrVq1kgIFCujx4Z28du1afQ/X8f7776stXPcXX3wRnjMN4fEw5YB9cGzYhtAa8HvHsC7eQ0CGypUra9YQ+2uOKyhuxKvgR/Pwww+Hixfo2LGj9s62bt2qQVAR2QQ/VoDeG8QPgkiIL4CAmbWVY8aMsWrvg6ACGFY34nDy5EltvLE99kMaFvyNhzSIlAFilChRIn0P4maGEHHvh4aG6jYmSLhZM4oCQYTXsDknHDdHjhySPHlyfY2gBhCLS5cuSfbs2bXOBC7v0KGDvsZwP46ZK1cufY3y888/6zaYuzPHxrnj2PgbQnbu3DkVTLOPKRB2rDdFNCK8xtAosmDj76ZNm+r5oIeH5KGow7SE2Rbl+++/V9txCcWNeBU85eFm/vbbb/UpEgV/ow5RR0DJkiUlbdq0OmTZrFkzfQ+T94T4AogXhCdhwoSyfPlyq9Y1eHDDPYtwcBA6NPpIx4I6pICCcO3fv1/SpEmjD3LoQWEOC8KXNWtW3W7WrFl6LLOuEw9/zZs3l4EDB+poBgQQ9XjowwMgRMekg7IXNxPv1Xgkm3PDAyPsYb6scePGWmfmtRFhHw4zXbt21dfoARohgoMKztX0El944QVdmoM68ztGrw5Cj94izgV1sIXeLIZvU6RIoUOoAKKLKQcEeYhrKG7Ea+AJGE+0cBRBQ4GbHgV/ow4/FPwgt23bpnNu+EHjB4cnwNdff906CiFxC3pJSIaJ+3TlypVWrXPQyGO4Dfc1hMCAOS88sKGnBmFDpB1sg2E5e9q1a6f1EByAhzq8hsgZIDYYLkS9/VAoBBF1GJY04mZ6ZkbcjJey/cMi5rtRhyFPexA2r1+/fjr0CVHCNsOHD9f3Fi9erK8hegY4l6AOD6nw2EQP09T17NlTh0rRQ8Vr/NZxjXAei0kONm9CcSNeAz/KY8eOacHTsH1BHRoAM7QDIUQdHEyeeuopnY8gxBegV2ScSTAkFxk4ksAlHphhdIiYvRDiPkaDjmOgp9O3b1/9u0mTJtYWYfz4449aX716dX1txO2rr77S1wDzVvhNoN7eSxPLZlAXHXHDHJoBS25QV7p0aX2Na0ACUBOYHEOM6GXi73Hjxuk2sIvXsIXfLOYhMfeIOvQ+MZT57LPP6rAoXmOeD8ARxX44EgWij+v2Rni+mEBxIz4FIkeHEuJL0OhWqFBBG2I4ltgDESlevLg24H/88Yc+wGEoEKMO9sKDeSzMWUH0IIZwHMHxMKdmzyeffKL1mJsC77zzjr7GkJ8BDhrIioF6+4Dh8+fP17roiFvdunX1NcBQJ+owZAowHInXEDsMw+JYZu5vxowZuo0RNww7mgdSbI+6n376Sa8Rw5t4YMVDKs4FxwEYqsW5QvDM3CQeHrwdYD0qKG7Ep+CHM336dFm2bJlVQ0jcgzVkGJaEaMF7EUPn6IGZOWEUMx+HuTG8fvPNN8PjqSLAN+rgmQgBxP5wrMJwpxFBiIFxPoGXJDBzbtjfHmMD81X4jWAeD3+jzn7OzRNxg/cmXrdo0UJfI0mwcWjBbxGYIVB4RcLrGRhnFewP8FAAUUbB/BuOAzGDZzT+Bhs3bpRkyZLpZxHXGfUpboSQeA8a6q+//lrFDQ04ssCblEsQPXtvP3gEmyHInDlzSrFixfRvDFdirspgekjYH70eDM/hdcOGDcPd542TyJdffqmvDfAsNs4nmMeCPeN5iZ4jxA0OHGb40ghv+/bt9bURIIB5NdThPMGIESP0NQqEKEuWLOHXjW0B4sWabTA/jjk2zJ3BC9LUGWGFMELMMOeGpRSow7VCTM32mNeL60gnFDdCCLGABy88CdF4o9cCz0DURQbDch9//LEOH6I3VqtWLVm9erX17n2wtAAChrkpCByG9NCzM6A3BFvDhg2zau6D3hgcrTC3BdEYO3asOnBgkTnEDUP6GNbEeW7ZskX3wbozHA9eywb0ErGNcWJBLxBijeFWCCfm+wYPHqxOLGY/bIMeGQQRxzM9OvS+MHQLYYPgYk7Rfn0fPEfNcCREDzYg8r5IW0VxI4SQSKAxjk6DDLd9DA9GBXpZ9qJmgPMIHFrM0J8zLly4YP0lasuEw8K6MvyN/c26ORwHr3FeBvQS4UQCMbQHnp/222EbnKc9OD7OMTKoN+fhDAyl4ni+jEtJcSOEEBJ0UNwIIYQEHRQ3QgghQQfFjRBCSNBBcSOEEBJkiPwfGKZetNkJewoAAAAASUVORK5CYII=)
[참가자격]
대학생/대학원생 (개인 또는 팀 단위, 팀 최대 3명)
- 팀 구성원 모두 국내외 재학중인 대한민국 국적의 대학(원)생
- 수상은 아래 조건을 충족해야 함
- 학적 상태가 재학, 휴학 상태 또는 2022년 8월 졸업예정인 자
- 산업체, 연구소 등에 재직 중인 사람은 수상 불가 (학술 연수중인 사람, 산업정부출연연구소 소속 학생연구원 포함)
- 최종 수상후보 팀은 재학증명서 또는 대체인증서류 제출 필수
[주최 / 운영]