The photocatalytic transformation of carbon dioxide (CO2) into carbon‐based fuels or chemicals using sustainable solar energy is considered an ideal strategy for simultaneously alleviating the energy shortage and environmental crises. However, owing to the low energy utilization of sunlight and inferior catalytic activity, the conversion efficiency of CO2 photoreduction is far from satisfactory. In this study, a MOF‐derived hollow bimetallic oxide nanomaterial is prepared for the efficient photoreduction of CO2. First, a unique ZIF‐67‐on‐InOF‐1 heterostructure is successfully obtained by growing a secondary Co‐based ZIF‐67 onto the initial InOF‐1 nanorods. The corresponding hollow counterpart has a larger specific surface area after acid etching, and the oxidized bimetallic H‐Co3O4/In2O3 material exhibits abundant heterogeneous interfaces that expose more active sites. The energy band structure of H‐Co3O4/In2O3 corresponds well with the photosensitizer of [Ru(bpy)3]Cl2, which results in a high CO yield of 4828 ± 570 µmol h−1 g−1 and stable activity over a consecutive of six runs, demonstrating adequate photocatalytic performance. This study demonstrates that the rational design of MOF‐on‐MOF heterostructures can completely exploit the synergistic effects between different components, which may be extended to other MOF‐derived nanomaterials as promising catalysts for practical energy conversion and storage.

The oxygen reduction reaction (ORR) on the cathode is of great significance in fuel cells and metal-O2 batteries, which is well demonstrated and highly efficient in nature. Herein, iron phthalocyanine...

Efficient water splitting is limited by the sluggish oxygen evolution reaction (OER) to a large extent, which inhibits the development of sustainable energy and has attracted widespread attention. In this work, a type of microsized Cu-based metal−organic framework (MOF) of Cu-BTB has been successfully synthesized by a rapid reaction within half an hour. During the subsequent pyrolysis, a large number of N-containing carbon nanotubes (NCNTs) are grown on the entire surface of hierarchically porous MOF-derived nanosized carbons through the introduction of ethylene and ammonia, denoted as NCNT/Cu/C. After oxidation, NCNT-supported nanosized copper oxide embedded in a carbon matrix (NCNT/CuO/C) is finally obtained to show the preserved morphology and high graphitization degree. The high specific surface area and conductivity of NCNTs for NCNT/CuO/C further enable the electrolyte to make better contact with the active materials during the OER. Finally, the optimal nanosized NCNT/CuO/C exhibits a high degree of improvement in OER performance, in which it attains an overpotential of only 369 mV at 10 mA cm −2 , and its Tafel slope is calculated to be 87.4 mV dec −1 , indicating fast reaction kinetics. The demonstrated work proves that the method of doping NCNTs with nanosized copper oxides can effectively enhance the efficacy of water oxidation, which can be further used in future energy applications.

Abstract| In order to meet the power and reliability constraints, it is important to reduce both average and peak power during BIST operations. In this paper we propose a Low P ower Automatic Test Pattern Generator LPATPG with peak power reduction. The technique can be used during on-line testing of large circuits requiring low p o wer consumption. LPATPG can be implemented using linear cellular automata CA with appropriate external weighting logic. While the average power is reduced by nding the optimal signal activities probabilities of signal switching at the primary inputs, the peak power is reduced by restricting the number of active primary inputs. Results on ISCAS benchmark circuits show that while achieving high fault coverage, average power reduction up to 90, peak power reduction up to 37 and energy reduction up to 93 can be achieved compared to equi-probable random pattern generator by linear cellular automata, and the ratio of the number of high power vectors vectors violate the power limit in LPATPG sequence to the number of high power vectors in the equi-probable random sequence can be as low a s 0:44.