The Hessian biased singular value decomposition method for optimization and analysis of force fields

We present methodology (HBFF/SVD) for optimizing the form and parameters of force fields (FF) for molecular dynamics simulations through utilizing information about properties such as the geometry, Hessian, polarizability, stress (crystals), and elastic constants (crystals). This method is based on singular value decomposition (SVD) of the Jacobian describing the partial derivatives in various properties with respect to FF parameters. HBFF/SVD is effective for optimizing the parameters for accurate FFs of organic, inorganic, and transition metal compounds. In addition it provides information on the validity of the functional form of the FF for describing the properties of interest. This method is illustrated by application to organic molecules (CH2O, C2H4, C4H6, C6H8, C6H6, and naphthalene) and inorganic molecules (Cl2CrO2 and Cl2MoO2)

Design and baseline characteristics of the finerenone in reducing cardiovascular mortality and morbidity in diabetic kidney disease trial

Background: Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. Patients and Methods: The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate >= 25 mL/min/1.73 m(2) and albuminuria (urinary albumin-to-creatinine ratio >= 30 to <= 5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level alpha = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. Conclusions: FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049

ブンシ ノ デンシ コウゾウ リキバ ハンノウセイ ニ カンスル リロンテキ ケンキュウ

京都大学0048新制・論文博士博士(工学)乙第10505号論工博第3542号新制||工||1192(附属図書館)UT51-2000-P672(主査)教授 藤本 博, 教授 田中 一義, 教授 植村 榮学位規則第4条第2項該当Doctor of EngineeringKyoto UniversityDA

Correlation Analysis of Chemical Bonds (CACB) II: Quantum Mechanical Operators for Classical Chemical Concepts

We apply correlation analysis of chemical bonds (CACB) to simple organic reaction paths. CACB, an operator-based formalism for analyzing the electronic structure for molecule, clarifies how bond exchange processes relate to changes in covalent bond orders and bond interaction coefficients. For single bond-exchange processes, the bonds correlation typically is negative for interchanging bonds. For two bond-exchange processes, this coefficient can be either negative or slightly positive near zero, reflecting the nature of the bond exchange process. The simplest formalism can, sometimes, lead to unphysical values for the atomic valence and the bonds correlation coefficients. We analyzed the origin of this behavior and attributed it to the non-Hermitian property of the operator. We show how to avoid this problem by symmetrizing the operator through use of orthogonal atomic orbitals

Rule-Based Trial Wave Functions for Generalized Valence Bond Theory

We present a general method suitable for automatic generation of trial wave functions for generalized valence bond (GVB) descriptions of large molecules. This method uses pseudo-Hartree-Fock (P-HF) molecular orbitals formed from HF atomic orbitals but without Fock matrix diagonalization. The occupied P-HF orbitals are projected onto atomic basis functions to obtain GVB first natural orbitals, and the unoccupied HF orbitals are projected to obtain GVB second natural orbitals. This method (denoted GVB-INIT) is fast because no HF wave functions need be calculated and because the localization is piecewise atomic. In conjunction with the recently developed GVB-DIIS method for converging GVB wave functions and the new pseudospectral programs (PS-GVB) for the Fock matrix elements, GVB-INIT makes calculation of highly correlated GVB wave functions quite practical. The efficacy of GVB-INIT is illustrated by application to several cases including GVB wave functions with up to 26 correlated pairs

Rule-Based Trial Wave Functions for Generalized Valence Bond Theory

We present a general method suitable for automatic generation of trial wave functions for generalized valence bond (GVB) descriptions of large molecules. This method uses pseudo-Hartree-Fock (P-HF) molecular orbitals formed from HF atomic orbitals but without Fock matrix diagonalization. The occupied P-HF orbitals are projected onto atomic basis functions to obtain GVB first natural orbitals, and the unoccupied HF orbitals are projected to obtain GVB second natural orbitals. This method (denoted GVB-INIT) is fast because no HF wave functions need be calculated and because the localization is piecewise atomic. In conjunction with the recently developed GVB-DIIS method for converging GVB wave functions and the new pseudospectral programs (PS-GVB) for the Fock matrix elements, GVB-INIT makes calculation of highly correlated GVB wave functions quite practical. The efficacy of GVB-INIT is illustrated by application to several cases including GVB wave functions with up to 26 correlated pairs