98%
921
2 minutes
20
Multidimensional tunneling calculations are carried out for 13 reactions, to test the scope of heavy-atom tunneling in organic chemistry, and to check the accuracy of one-dimensional tunneling models. The reactions include pericyclic, cycloaromatization, radical cyclization and ring opening, and S 2. When compared at the temperatures that give the same effective rate constant of 3×10 s , tunneling accounts for 25-95 % of the rate in 8 of the 13 reactions. Values of transmission coefficients predicted by Bell's formula, κ , agree well with multidimensional tunneling (canonical variational transition state theory with small curvature tunneling), κ . Mean unsigned deviations of κ vs. κ are 0.08, 0.04, 0.02 at 250, 300 and 400 K. This suggests that κ is a useful first choice for predicting transmission coefficients in heavy-atom tunnelling.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/anie.201708489 | DOI Listing |
Phys Chem Chem Phys
August 2025
Area de Quimica Fisica and Instituto de Computacion Cientifica Avanzada, Universidad de Extremadura, 06071 Badajoz, Spain.
Delta-machine learning (Δ-ML) is a highly cost-effective approach for developing high-level potential energy surfaces (PESs) from a large number of low-level configurations. In particular, the high flexibility of the analytical potential energy surface developed previously by our group is exploited to efficiently sample points from the low-level data set and, using information from the highly accurate permutation invariant polynomial neural network (PIP-NN) surface, construct the Δ-ML PES. This approach is applied to the well-known H + CH hydrogen abstraction reaction.
View Article and Find Full Text PDFSmall
August 2025
School of Optoelectronic Science and Engineering and Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, 215006, China.
Tunnel oxide passivating contact (TOPCon) solar cells (SCs) are dominant in crystalline silicon photovoltalic (PV) due to superior their passivation and contact properties. Achieving further efficiency improvements remains challenging, requiring comprehensive optimization. This study breaks traditional experience-driven limitations by combining a dual-directional framework (forward prediction and reverse optimization) with numerical simulations for n-type TOPCon SCs.
View Article and Find Full Text PDFJ Am Chem Soc
August 2025
Department of Chemistry, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200433, China.
Thionylimide (HNSO) and its isomer thionitrous acid (HSNO) are important intermediates in atmospheric chemistry and biology, respectively. However, the chemical network linking HNSO and HSNO is not fully understood due to the absence of some high-energy isomers. Herein, we report the identification of -HNSO and -HONS during the photochemistry of -HNSO in a solid Ne matrix at 3 K.
View Article and Find Full Text PDFJ Org Chem
August 2025
Department of Chemistry, Columbia University, New York, New York 10027, United States.
To assess tunneling, we studied the guanine-cytosine (GC) base pair tautomerization in the gas phase. We applied multidimensional semiclassical reaction path methodology with microcanonically optimized multidimensional tunneling (μOMT) using POLYRATE. The minimum energy path (MEP) has a single saddle point for the double proton transfer.
View Article and Find Full Text PDFSensors (Basel)
June 2025
Fachbereich Elektrotechnik und Informationstechnik, Lehrstuhl Kognitive Integrierte Sensorsystem (KISE), Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 67663 Kaiserslautern, Germany.
Mechanical defects and sensor failures can substantially undermine the reliability of low-cost sensors, especially in applications where measurement inaccuracies or malfunctions may lead to critical outcomes, including system control disruptions, emergency scenarios, or safety hazards. To overcome these challenges, this paper presents a novel Self-X architecture with sensor redundancy, which incorporates dynamic calibration based on multidimensional mapping. By extracting reliable sensor readings from imperfect or defective sensors, the system utilizes Self-X principles to dynamically adapt and optimize performance.
View Article and Find Full Text PDF