[HTML][HTML] Understanding and design of metallic alloys guided by phase-field simulations

Y Zhao - npj Computational Materials, 2023 - nature.com
Phase-field method (PFM) has become a mainstream computational method for predicting
the evolution of nano and mesoscopic microstructures and properties during materials …

[HTML][HTML] The effects of nano-additives on the mechanical, impact, vibration, and buckling/post-buckling properties of composites: A review

L Shan, CY Tan, X Shen, S Ramesh, MS Zarei… - Journal of Materials …, 2023 - Elsevier
This study presents a review of the effect of nano-additives in improving the mechanical
properties of composites. Nano-additives added to composites, also termed …

Non-equilibrium strategy for enhancing thermoelectric properties and improving stability of AgSbTe2

J Cao, J Dong, K Saglik, D Zhang, SFD Solco… - Nano Energy, 2023 - Elsevier
Inorganic thermoelectrics have progressed in leaps and bounds in the recent years. This is
largely driven by the advancements in both physical understanding coupled with structural …

Machine learning-assisted synthesis of two-dimensional materials

M Lu, H Ji, Y Zhao, Y Chen, J Tao, Y Ou… - … Applied Materials & …, 2022 - ACS Publications
Two-dimensional (2D) materials have intriguing physical and chemical properties, which
exhibit promising applications in the fields of electronics, optoelectronics, as well as energy …

[HTML][HTML] Additively manufactured Ti–Ta–Cu alloys for the next-generation load-bearing implants

A Bandyopadhyay, I Mitra, S Ciliveri… - … Journal of Extreme …, 2023 - iopscience.iop.org
Bacterial colonization of orthopedic implants is one of the leading causes of failure and
clinical complexities for load-bearing metallic implants. Topical or systemic administration of …

[PDF][PDF] Domain knowledge-guided interpretive machine learning: formula discovery for the oxidation behavior of ferritic-martensitic steels in supercritical water

B Cao, S Yang, A Sun, Z Dong, TY Zhang - Journal of Materials Informatics, 2022 - f.oaes.cc
A general formula with high generalization and accurate prediction power is highly desirable
for science, technology and engineering. In addition to human beings, artificial intelligence …

Efficient phase-field simulation for linear superelastic NiTi alloys under temperature gradients

T Xu, C Wang, Y Zhu, Y Wang, Y Yan, J Wang… - International Journal of …, 2023 - Elsevier
Engineering the martensitic transformation (MT) with exceptional and controllable properties
is essential for the innovative application of shape memory alloys (SMAs) in advanced …

Application of phase-field modeling in solid-state phase transformation of steels

S Lv, S Wang, G Wu, J Gao, X Yang, H Wu… - Journal of Iron and Steel …, 2022 - Springer
Solid-state phase transformation is usually associated with excellent mechanical properties
in steel materials. A deep understanding of the formation and evolution of phase structure is …

Enhanced thermoelectric performance of p-type Bi2Si2Te6 enabled via synergistically optimizing carrier concentration and suppressing bipolar effect

D Shen, R Cheng, W Wang, H Li, C Chen… - Materials Today …, 2023 - Elsevier
Bipolar diffusion is regarded as an obstacle to improving thermoelectric performance
because it dramatically deteriorates the thermopower and increases the thermal conductivity …

[HTML][HTML] Application of VR technology for maritime firefighting and evacuation training—A review

G Vukelic, D Ogrizovic, D Bernecic, D Glujic… - Journal of marine …, 2023 - mdpi.com
Firefighting and evacuation training are important tasks in maritime education and training,
especially for crews working on large passenger ships, to ensure the safety of the vessel …