Journal of Magnetism and Magnetic Materials, Journal Year: 2024, Volume and Issue: unknown, P. 172730 - 172730
Published: Dec. 1, 2024
Language: Английский
Journal of Magnetism and Magnetic Materials, Journal Year: 2024, Volume and Issue: unknown, P. 172730 - 172730
Published: Dec. 1, 2024
Language: Английский
Optics & Laser Technology, Journal Year: 2024, Volume and Issue: 181, P. 111828 - 111828
Published: Oct. 4, 2024
Language: Английский
Citations
2Materials & Design, Journal Year: 2024, Volume and Issue: 244, P. 113226 - 113226
Published: Aug. 1, 2024
The increasing demand for materials capable of withstanding high temperatures and harsh environments necessitates the discovery advanced alloys. This study introduces a computational routine to predict solid-state phase stability calculates elastic constants determine temperature viability. With it, machine learning models were trained on 1,014 Mo-Re-W structures enable large compilation thermal properties over complete compositional domain with extreme resolution. A series heat maps spanning full generated visually present impact alloy constituents properties. Our findings identified balanced (Mo,W) + Re blend as promising composition applications, attributed strong stable matrix content formation strengthening (W,Re) precipitates that enhanced mechanical performance at 1600 oC. Several compositions manufactured experimentally validate predictions. approach provides an efficient system-agnostic pathway designing optimizing alloys high-temperature applications.
Language: Английский
Citations
1Computational Materials Science, Journal Year: 2024, Volume and Issue: 246, P. 113407 - 113407
Published: Sept. 23, 2024
Language: Английский
Citations
1Materials Today Communications, Journal Year: 2024, Volume and Issue: 41, P. 110991 - 110991
Published: Nov. 14, 2024
Language: Английский
Citations
1International Journal of Pressure Vessels and Piping, Journal Year: 2024, Volume and Issue: unknown, P. 105409 - 105409
Published: Dec. 1, 2024
Language: Английский
Citations
1IEEE Transactions on Systems Man and Cybernetics Systems, Journal Year: 2024, Volume and Issue: 54(7), P. 4066 - 4076
Published: April 3, 2024
An optimal tracking control system using neural adaptive techniques is introduced for nonlinear systems subjected to time delay and inequality constraints, which partially uncertain. The constraints partial uncertain of the state are considered in discrete-time system. By transforming constraint information into augmented variables, precompensator method, an augmentation that contains transformed controller obtained. Lyapunov–Krasovskii functionals (LKFs) can be used deal with delay. Subsequently, controller, long-term cost function, resistance, dynamics approximated by action, critic, disturbance, estimation NNs, suitable laws Furthermore, uniform ultimate boundedness (UUB) signals closed-loop obtained designed near-optimal controller. satisfied challenge arising from has been successfully addressed, while a numerical simulation verification example presented.
Language: Английский
Citations
0International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 69, P. 429 - 440
Published: May 8, 2024
Language: Английский
Citations
0Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Journal Year: 2024, Volume and Issue: 42(3)
Published: May 1, 2024
Synthesis of device-quality GeSn materials with higher Sn compositions is hindered by various factors, such as segregation, clustering, and short-range ordering effects. In the present work, impact clustering atoms in a semiconductor alloy was studied density functional theory using SG15 pseudopotentials Synopsys QuantumATK tool, where thermodynamic stability, effective band structure, indirect direct bandgaps, states (DOS) were computed to highlight difference between cluster-free random Sn–Sn clusters. A 54-atom bulk Ge1–xSnx (x = 3.71%–27.77%) supercell constructed first nearest neighbor clustered at each composition for this work. Computation generalized gradient approximation exchange-correlation showed that stability reduced due Sn, which increased formation energy alloys increasing Hartree potential energy. Moreover, structure material ∼22%, both (Eg,Γ) (Eg,L) bandgaps decreased large margin 40.76 120.17 meV, respectively, clustering. On other hand, Eg,Γ Eg,L decrease limited 0.5 12.8 ∼5.6%. Similar impacts observed on DOS, an independent computation without deducing from electronic width forbidden reduces GeSn. assumption it being having well-dispersed needs revision incorporating align experimentally determined bandgap. This necessitates effect together varying distributions based experimental characterization techniques atom probe tomography or extended x-ray absorption fine substantiate bandgap particular precision. Hence, considering clusters during characterization, beginning accurate would help mitigating process variations performance characteristics GeSn-based group IV photonic devices leakage currents transistors photodiodes well deviation targeted wavelength operation lasers photodetectors.
Language: Английский
Citations
0Journal of Magnetism and Magnetic Materials, Journal Year: 2024, Volume and Issue: 606, P. 172362 - 172362
Published: July 27, 2024
Language: Английский
Citations
0Solid State Sciences, Journal Year: 2024, Volume and Issue: 158, P. 107733 - 107733
Published: Nov. 5, 2024
Language: Английский
Citations
0