共查询到19条相似文献,搜索用时 89 毫秒
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在单、双迭代(包含三重激发微扰校正)耦合簇CCSD(T)理论水平下,采用cc-pvtz/Na、aug-cc-pvqz/He并加{3s3p2d1f}集的键函数组成的大基组,计算了He-Na2体系819个构型的相互作用能.通过对96个参数的解析表示的拟合,得到了体系的三维势能面.结果表明在Na2处于基态时该势能面上存在2个势阱,分别对应于线型和T型构型,阱深分别为1.58 cm-1,1.77 cm-1.整个势能面呈现出弱的角度各向异性.讨论了Na-Na键长变化对相互作用能的影响. 相似文献
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采用模守恒赝势(Lin方案)和平面波超软赝势对两种NiTi异构体超晶胞势能面进行了理论研究,结果表明:由于在绝对零度下B19′相总能量低于B2相总能量,B19′相更为稳定.对于B2相,合金化元素Au和Fe在Ni原子位处于势能面平衡点而Ni(Ni位)及位于Ti原子位的Ti,Zr 和Al并非处于平衡位置.在B19′相,Ni,Au,Fe,Ti,Zr,Al均处于势能面平衡点.NiTi合金的马氏体相变应该主要是来自Ni、Ti原子位于势能面非平衡位置所致.
关键词:
密度泛函
势能面
NiTi 合金 相似文献
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本文利用代数方法研究了非对称弯曲三原子分子S2O分子处于C~1A′电子态的能谱及其稳定构型下的势能面,通过对30条光谱数据的拟和得到的RMS误差为2.40 cm-1.结果表明,利用此代数Hamiltonian很好的实现了能级再现,它预测了振动总量子数达到20的全部振动能级(在本文中我们只列举到v= 9),同时我们计算了分子的解离能与力常数.通过与实验值比较证明了这种方法在计算这类分子的有效性. 相似文献
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采用超分子单双迭代(包括非迭代三重激发)耦合簇理论CCSD(T)方法和由键函数3s3p2d1f组成的大基组, 计算得到了基态He-HI复合物相互作用的全程势能面. 该势能面上存在2个势阱, 分别对应于线性He-I-H和He-H-I构型, 势阱深度分别为4.473和2.996meV, He原子到HI分子质心的距离R分别为0.363和0.442nm. 使用Barker, Fisher和Watts提出的BFW势函数拟合计算得到的相互作用能数据, 获得了He原子与HI分子相互作用势的解析表达式. 在
关键词:
He-HI复合物
势能面
微分散射截面 相似文献
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用B3LYP/6 31+G(d)和MP2 (Full) /6 31+G(d)优化ClONO2 及其分解反应和异构化反应的过渡态和产物的分子结构 .在B3LYP/6 31+G(d)水平上计算了相关分子的振动频率 .ClONO2 的几何结构、振动频率和红外强度与实验测量值符合得很好 .找到了未曾报道的立体异构体 .对这一立体异构体进行了高级别理论方法CCSD(T) /6 311G(d)和QCISD(T) /6 311G(d)的几何结构优化和振动频率计算 ,表明它是一个稳定的立体异构体 .在所研究的几种反应中 ,ClONO2 分解为NO2 +ClO是最容易进行的反应 .而ClONO2 异构为立体异构体的反应是最难进行的反应 .其所需克服的过渡态的能垒为 4 81.5 2kJ/mol,而反应吸收能量为 2 99.85kJ/mol.次难进行的是ClONO2 经TS1到反应中间体M1,再经TS12而分解为ClNO +O2 的反应 .这个反应通道所需克服过渡态的能垒为 4 2 1.5 5kJ/mol,反应吸收能量为 15 7.98kJ/mol.从以上分析可知 ,和ClO +NO2 反应生成ClONO2 比较 ,ClONO2 具有较好的稳定性 . 相似文献
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势能面上反应途径分叉的理论及其应用 总被引:3,自引:1,他引:2
本文综述了近十几年来关于势能面上反庆途径分叉研究了进展状况;概述了势能面上反应徐径的类型及其拓扑结构;分析了势能面上反应途径分叉的理论:讨论了因分叉而引起的化学反庆以及体系的对称性破缺;研究了因振动模间的非线性耦合而引起的分叉对化学反应及分子体系红外光谱异常和粒子反转的影响,因而研究发叉现象在理论和实践上都具有重要意义。 相似文献
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本文利用从头算方法首次计算得到Kr原子与CS分子在“冻结核”近似下的相互作用离散势能点, 并拟合得到二维势能面. 该体系在R=7.76 a0, =111.4o处存在一个近T型的全域极小值, 势能值为-178.54 cm-1, 整个势能面表现较强的各向异性. 在该势能面基础上数值求解体系的薛定谔方程, 计算得到体系J ≤ 15的束缚态能级及微波谱跃迁频率. 相似文献
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本文采用单双迭代(包括非迭代三重激发)耦合簇CCSD(T)方法,对C、S原子采用aug-cc-PVTZ基组,对Kr原子采用cc-PVTZ –DK基组,并且加上中心键函数(3s3p2d2f1g),计算得到Kr-CS2体系的势能面。该势能面为T型结构,存在一个全局极小值和两个等价的局域极小值。全局极小值位于R =7.05 a0,θ= 90°处,势能值为-396.194 cm-1。两个局域极小值分别位于R = 10.15 a0,θ= 0°和180°处,势能为-243.647 cm-1。利用该势能面,通过数值求解相应的薛定谔方程,计算得出体系J≤10的束缚态能级及微波谱跃迁频率,并通过跃迁频率拟合得到相应的光谱常数。 相似文献
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在B3LYP/ 6 311++G(2d ,2p)水平上 ,优化得到硝基甲烷CH3 NO2 的 10种异构体和 2 3个异构化反应过渡态 ,并用G2MP2方法进行了单点能计算 .根据计算得到的G2MP2相对能量 ,探讨了CH3 NO2 势能面上异构化反应的微观机理 .研究表明 ,反应初始阶段的CH3 NO2 异构化过程具有较高的能垒 ,其中CH3 NO2 的两个主要异构化反应通道 ,即CH3 NO2 →CH3 ONO和CH3 NO2 →CH2 N(O)OH的活化能分别为 2 70 .3和 2 6 7.8kJ/mol,均高于CH3 NO2的C -N键离解能 .因而 ,从动力学角度考虑 ,CH3 NO2 的异构化反应较为不利 . 相似文献
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Various levels of calculations are carried out to explore the potential energy surfaces (PES) of singlet and triplet SiC3S, a molecule of potential interest in interstellar chemistry. At the DFT/B3LYP/6-311G(d) level, a total of 57 minimum isomers and 92 interconversion transition states are located. The structures of the most relevant isomers and transition states are further optimized at the QCISD/6-311G(d) level followed by CCSD(T)/6-311?+?G(2df) single-point energy calculations. At the QCISD level, the lowest-lying isomer is the chain-like SiCCCS 3 1 (0.0?kcal/mol) with a great kinetic stability of 54.1?kcal/mol. In addition, ring isomers CC-cCSSi 1 9 (19.8?kcal/mol), S-cCCCSi 1 12 (30.4?kcal/mol), S-cCCSiC 1 18 (9.4?kcal/mol), S-cSiCCC 1 21 (34.4?kcal/mol) and cage-like isomer cage-SiSCCC 1 23 (51.8?kcal/mol) also possess considerable kinetic stability (more than 10.0?kcal/mol). As a result, these six isomers are predicted to be possible candidates for future experimental and astrophysical detection. The bond natures and possible formation pathways in interstellar space of the SiCCCS are discussed. The predicted structure and spectroscopic properties for it are expected to be informative for the identification of SiC3S and even larger SiC n S species either in laboratory or in space. 相似文献
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The structures, energetics, spectroscopies and stability of the doublet [Si, C, P, O] radical are explored at the density functional theory and ab initio levels. Eighteen isomers connected by 22 interconversion transition states are located at the DFT/B3LYP/6-311G(d) level. The structures of the kinetically stable isomers and the relevant transition states are further optimized at the QCISD/6-311G(d) level followed by CCSD(T)/6-311 + G(2df) single-point energy calculations. At the QCISD/6-311G(d) level, the lowest-lying isomer is the cyclic O-cCSiP 8 (0.0 kcal/mol) with considerable kinetic stability of 22.0 kcal/mol. In addition, two bent isomers OSiCP 1 (7.3 kcal/mol) and SiCPO 3 (34.7 kcal/mol) also possess considerable kinetic stability (more than 10.0 kcal/mol). As a result, three isomers 1, 3 and 8 are predicted to be possible candidates for future experimental and astrophysical detection. The bonding nature of the three isomers is analysed. The calculated results are compared with those of the analogous radical [Si, C, N, O]. Implications in the laboratory and interstellar space are also discussed. The predicted structures and spectroscopic properties are expected to be informative for the identification of [Si, C, P, O] in the laboratory and space. 相似文献
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用MP2/6-31G*方法研究了单线态二氯亚甲基锗烯与甲醛环加成反应的反应机理,该反应有两条相互竞争的主反应通道,同时伴随着两中间体(INT3和INT4)副产物的生成. 第一条主反应通道所生成的物种为三员环中间体(INT1)和Ge-O顺位的四员环产物(P1);第二条主反应通道所生成的物种为Ge-O对位的扭曲四员环中间体(INT2)和氯迁移产物(P2);P1和INT2分别与甲醛(R2)的进一步作用而导致了两副产物的生成. 相似文献
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Machine learning approaches have been promising in constructing high-dimensional potential energy surfaces (PESs) for molecules and materials. Neural networks (NNs) are one of the most popular such tools because of its simplicity and efficiency. The training algorithm for NNs becomes essential to achieve a fast and accurate fit with numerous data. The Levenberg-Marquardt (LM) algorithm has been recognized as one of the fastest and robust algorithms to train medium sized NNs and widely applied in recent NN based high quality PESs. However, when the number of ab initio data becomes large, the efficiency of LM is limited, making the training time consuming. Extreme learning machine (ELM) is a recently proposed algorithm which determines the weights and biases of a single hidden layer NN by a linear solution and is thus extremely fast. It, however, does not produce sufficiently small fitting error because of its random nature. Taking advantages of both algorithms, we report a generalized hybrid algorithm in training multilayer NNs. Tests on H+H2 and CH4+Ni(111) systems demonstrate the much higher efficiency of this hybrid algorithm (ELM-LM) over the original LM. We expect that ELM-LM will find its widespread applications in building up high-dimensional NN based PESs. 相似文献