Topological thermal transport
Thermal transport is a fundamental mechanism of energy transfer process quite distinct from
wave propagation phenomena. It can be manipulated well beyond the possibilities offered …
wave propagation phenomena. It can be manipulated well beyond the possibilities offered …
Thermal interface materials: From fundamental research to applications
The miniaturization, integration, and high data throughput of electronic chips present
challenging demands on thermal management, especially concerning heat dissipation at …
challenging demands on thermal management, especially concerning heat dissipation at …
Free-form and multi-physical metamaterials with forward conformality-assisted tracing
Transformation theory, active control and inverse design have been mainstream in creating
free-form metamaterials. However, existing frameworks cannot simultaneously satisfy the …
free-form metamaterials. However, existing frameworks cannot simultaneously satisfy the …
[HTML][HTML] A cyclical route linking fundamental mechanism and AI algorithm: An example from tuning Poisson's ratio in amorphous networks
“AI for science” is widely recognized as a future trend in the development of scientific
research. Currently, although machine learning algorithms have played a crucial role in …
research. Currently, although machine learning algorithms have played a crucial role in …
Machine learning modeling of thermally assisted biodrying process for municipal sludge
K Zhang, N Wang - Waste Management, 2024 - Elsevier
Preparation of activated carbons is an important way to utilize municipal sludge (MS)
resources, while drying is a pretreatment method for making activated carbons from MS. In …
resources, while drying is a pretreatment method for making activated carbons from MS. In …
Nested deep transfer learning for modeling of multilayer thin films
Machine-learning techniques have gained popularity in nanophotonics research, being
applied to predict optical properties, and inversely design structures. However, one limitation …
applied to predict optical properties, and inversely design structures. However, one limitation …
Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution
The trade-offs between different mechanical properties of materials pose fundamental
challenges in engineering material design, such as balancing stiffness versus toughness …
challenges in engineering material design, such as balancing stiffness versus toughness …
[HTML][HTML] Advances in artificial intelligence for artificial metamaterials
The 2024 Nobel Prizes in Physics and Chemistry were awarded for foundational discoveries
and inventions enabling machine learning through artificial neural networks. Artificial …
and inventions enabling machine learning through artificial neural networks. Artificial …
Metamaterials based on solid composites enable continuous and tunable thermal conductivity anisotropy for thermal management applications
Thermal metamaterials enable heat flow manipulation through artificial structures in both
magnitude and direction and provide flexibility in achieving diverse applications. These …
magnitude and direction and provide flexibility in achieving diverse applications. These …
Radiative cooling technology with artificial intelligence
As sustainable thermal management becomes a global priority, the development of radiative
cooling (RC) technology has recently emerged as a promising solution. Simultaneously …
cooling (RC) technology has recently emerged as a promising solution. Simultaneously …