Toyota Central Research and Development Laboratories (Japan)

A regularization method for quantum neural networks using data symmetry

Leveraging data symmetries has recently become a key strategy in quantum neural networks (QNNs) to improve training efficiency. In this study, we propose a symmetry-informed regularization method for QNNs based on an input density matrix. By introducing a penalty term that encour...

Decomposing Vehicle Production and Consumption Impacts in Japan under Mobility and Production Network Interventions

Abstract Passenger vehicles contribute approximately 8% to global energy-related emissions and drive other environmental impacts through the extraction of raw materials. In this study, a hybrid LCA approach is used to investigate emissions and material life-cycle impacts arising...

Structure–ActivityRelationship in StructurallyDiverse Cobalt Oxide Catalysts for the Electrochemical Reduction ofNitrate to Ammonia

Abstract The electrochemical nitrate reduction reaction (NO3–RR) offers a sustainable method for converting NO3– waste into indispensable ammonia to rebalance the nitrogen cycle, which is considered more severely disturbed than the carbon cycle. Strenuous efforts have already yie...

Enhanced high-temperature dynamic mechanical properties of monomer casting polyamide 6 in the presence of trace calcium chloride

Monomer casting (MC) polyamide 6 (PA6), prepared by the anionic polymerization of ε-caprolactam within a mold, has attracted attention owing to its good mechanical properties, high heat resistance, high dimensional stability, and good processability compared with those of general...