1663 papers
This study demonstrates that applying an optimized counterforce of 60 kN during modified forward extrusion enhances the fatigue life of cold-forged components by tailoring residual stresses to reduce surface tensile stress, though exceeding this threshold diminishes the benefits due to adverse interactions with external loads.
This study demonstrates that ignoring meteorological representativeness errors in urban emission inversions causes denser monitoring networks to produce increasingly overconfident and inaccurate results, but incorporating a Bayesian approximation-error covariance correction restores statistical reliability and improves spatial resolution.
This study demonstrates that integrating woody biomass with combined cooling, heat, and power (CCHP) systems offers a highly efficient, profitable, and environmentally sustainable solution for powering data centers in Japan's regional cities, achieving significantly higher energy efficiency, nearly double the five-year profitability, and an 82.3% reduction in global warming potential compared to conventional approaches.
This paper presents a durable, membrane-free platform that simultaneously recovers high-purity ammonium and produces green hydrogen from undiluted human urine with net energy gain, utilizing immobilized urease and a high-performance KCoHCF electrode to achieve efficient nitrogen recovery and organic matter removal while employing a physics-informed model for autonomous long-term operation.
This paper proposes a novel AI-accelerated multidisciplinary design optimization framework that integrates physics-informed neural network surrogates with high-fidelity solvers to simultaneously optimize aerodynamics, propulsion, thermal management, and structural mass for hydrogen-electric aircraft, thereby enabling rapid exploration of trade-offs between maximum take-off weight, mission range, and thermal drag penalties.
This study evaluates the thermal cycles and microstructural evolution of an ER2209 duplex stainless steel preform fabricated via WAAM-GMA, revealing that uncontrolled heat input leads to excessive austenite content, potential harmful phase precipitation, and undesirable geometric variations.
This paper argues that transitioning from traditional to data-driven, intelligence-augmented flight dispatch systems significantly enhances aviation ground safety and operational efficiency by reducing decision latency, improving fuel planning, and minimizing delays, thereby establishing intelligent dispatch as a necessary evolution in modern aviation management.
This paper proposes and validates a self-evolving digital twin framework that integrates physics-informed machine learning, Bayesian parameter updating, and multi-agent reinforcement learning to achieve zero-defect five-axis milling of Ti-6Al-4V by dynamically predicting defects and optimizing machining parameters in real time, resulting in significant reductions in surface roughness variance, tool wear, energy consumption, and defect rates compared to conventional strategies.
This paper presents a compact, high-performance 2.6 THz microstrip patch antenna featuring a metamaterial-inspired cross-dipole reflector that achieves 94% radiation efficiency and 6.6 dBi gain while enabling the sensitive, multi-parameter detection of minute breast tumors (10–20 µm) through simultaneous analysis of reflection, transmission, and SAR contrast.
This paper utilizes the Harmonic Quadrature Method and Floquet stability analysis to reveal how proportional and derivative gains, cubic shaft stiffness, and nonlinear aerodynamic drag interact to drive complex S-shaped bifurcation cascades, extensive loop proliferation with over 36 saddle-node bifurcations, and distinct damping regimes in active magnetic bearing-supported flexible rotors.