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We present a computational study focusing on the determination of accurate bond dissociation energies (BDEs) involved in the combustion of biodiesel methyl esters. We have adapted our previously developed efficient error-cancellation protocols, based on the systematic "connectivity-based hierarchy" (CBH), to derive accurate BDEs of biodiesel molecules at a modest computational cost. Using DFT energies on the full biodiesel molecule in conjunction with accurate G4 energies on the small fragments involved in the CBH reaction schemes, systematic errors in the DFT methods can be cancelled efficiently. Herein, we apply our G4-corrected ΔCBH-2 and ΔCBH-3 schemes in conjunction with several popular DFT methods to determine accurate bond dissociation energies of different C-C, C-H, and C-O bonds in biodiesel surrogate molecules. We first evaluate the performance of different DFT methods using a test set of 21 reactions involving various bond dissociations in small to medium biodiesel surrogates (up to methyl decanoate, a C10-methyl ester) by calibration against accurate values calculated with multireference methods (MRACPF2), reported by Carter and co-workers. The CBH-2 corrections for all tested dispersion-corrected functionals yield mean absolute deviations (MADs) in a narrow range of 1.3-1.5 kcal/mol, the best performance being obtained for B97-D3 and ωB97X-D functionals (MAD = 1.3 kcal/mol). Further, significant improvement yielding a MAD of only 0.9 kcal/mol is obtained using the G4-corrected CBH-3 scheme. Finally, the protocol has been applied to derive accurate BDEs of eight different bonds in the larger biodiesel molecule, methyl linolenate, yielding a MAD of only 1.13 kcal/mol using the ΔCBH-3 error correction scheme. The results suggest that our protocol in conjunction with different DFT methods should be broadly applicable to yield accurate BDEs for a variety of large biodiesel molecules.
This article was published in the following journal.
Name: The journal of physical chemistry. A
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Errors or mistakes committed by health professionals which result in harm to the patient. They include errors in diagnosis (DIAGNOSTIC ERRORS), errors in the administration of drugs and other medications (MEDICATION ERRORS), errors in the performance of surgical procedures, in the use of other types of therapy, in the use of equipment, and in the interpretation of laboratory findings. Medical errors are differentiated from MALPRACTICE in that the former are regarded as honest mistakes or accidents while the latter is the result of negligence, reprehensible ignorance, or criminal intent.
Individuals connecting by family, work or other interests. It also includes connectivity facilitated by computer-based communications.
A measure of PATIENT SAFETY considering errors or mistakes which result in harm to the patient. They include errors in the administration of drugs and other medications (MEDICATION ERRORS), errors in the performance of procedures or the use of other types of therapy, in the use of equipment, and in the interpretation of laboratory findings and preventable accidents involving patients.
The formal process of obtaining a complete and accurate list of each patient's current home medications including name, dosage, frequency, and route of administration, and comparing admission, transfer, and/or discharge medication orders to that list. The reconciliation is done to avoid medication errors.
Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.