1,306 research outputs found
Poly[[diaqua-μ3-citrato-praseodymium(III)] monohydrate]
In the coordination polymer, {[Pr(C6H5O7)(H2O)2]·H2O}n, seven of the nine coordination sites of the monocapped square-antiÂprismatic geometry are occupied by three O atoms of the same citrate trianion (an O atom of the hyÂdroxy unit and the formally single-bond O atoms from two carboxyl units). Two other coordination sites are occupied by the O atoms of a chelating carboxyl unit of another citrate; one of these atoms is additionally involved in bridging. The seventh coordination site is occupied by the O atom of the formally double-bond O atom of a neighboring citrate. The remaining two coordination sites are occupied by water molÂecules. The citrate functions in a μ3-bridging mode, connecting the metal atoms into a ribbon structure parallel to [010]. The structure is consolidated into a three-dimensional network by O—H⋯O hydrogen bonds
Hot stamping of an Al-Li alloy: a feasibility study
The feasibility of forming a third generation aluminium-lithium alloy (AA2060) into a complex shaped panel component, was studied by using an advanced forming technology called solution heat treatment, cold die forming and in-die quenching (HFQa) process. The main challenges using HFQ technology to form complex shaped AA2060 component was to find out optimum forming parameters, such as forming temperature, forming speed, lubrication condition and blank holding force. In this paper, the optimum forming temperature was mainly concerned. The flow stresses of AA2060 were obtained at different temperatures ranging from 350 to 520 °C at the strain rate of 2 s−1. The suitable temperature to achieve the adequate ductility was found at 470 °C. By forming the AA2060 blanks at the optimum forming temperature, experimental results exhibited the feasibility for forming complex-shaped AA2060 components. The formed components were analysed through strain measurements. The post-form mechanical properties of AA2060 were assessed using hardness and tensile tests
Chlorido(10,11,12,13-tetraÂhydro-4,5,9,14-tetraÂazaÂbenzo[b]triphenylÂene-κ2 N 4,N 5)copper(I)
The CuI atom in the title compound, [CuCl(C18H14N4)], is N,N′-chelated by the N-heterocyclic ligand and coordinated by one Cl− anion in a distorted trigonal geometry. In the crystal, the CuI atom is disordered over two positions in a 0.667 (6):0.333 (6) ratio. The deviation of the Cu atom from the N/N/Cl coordination plane is 0.013 (3) Å for the major component and 0.073 (6) Å for the minor component. Two methylÂene C atoms are also disordered over two positions in a 0.667 (6):0.333 (6) ratio
Large Language Models are reasoners with Self-Verification
When a large language model (LLM) performs complex reasoning by chain of
thought (CoT), it can be highly sensitive to individual mistakes. We have had
to train verifiers to address this issue. As we all know, after human inferring
a conclusion, they often check it by re-verifying it, which can avoid some
mistakes. We propose a new method called self-verification that uses the
conclusion of the CoT as a condition to build a new sample and asks the LLM to
re-predict the original conditions which be masked. We calculate an explainable
verification score based on the accuracy. This method can improve the accuracy
of multiple arithmetics and logical reasoning datasets when using few-shot
learning. we have demonstrated that LLMs can conduct explainable
self-verification of their own conclusions and achieve competitive reasoning
performance. Extensive experimentals have demonstrated that our method can help
multiple large language models with self-verification can avoid interference
from incorrect CoT. Code is available at
\url{https://github.com/WENGSYX/Self-Verification
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