A Biomimetic Microchannel Heat Sink for Enhanced Thermal Performance in Chip Cooling. [PDF]
Wang K, Shi Y, Chen J, Dai Y.
europepmc +1 more source
Metal Matrix Composite in Heat Sink Application: Reinforcement, Processing, and Properties. [PDF]
Baig MMA, Hassan SF, Saheb N, Patel F.
europepmc +1 more source
Flexible n‐type Bi2Te3 thin films require improved room‐temperature figure of merit (ZT) and mechanical stability. We show that synergistic Bi–Te antisite tuning and crystalline–amorphous hybridization optimizes carrier concentration, mobility, and phonon scattering.
Bo‐Cheng Wang +8 more
wiley +1 more source
Performance Study of Wearable Thermoelectric Cooler with Phase-Change Composite Heat Sink. [PDF]
Xia Z +8 more
europepmc +1 more source
Fanless, porous graphene-copper composite heat sink for micro devices. [PDF]
Rho H +5 more
europepmc +1 more source
Design, development, and fabrication of a prototype ice pack heat sink subsystem. Flight experiment physical phenomena experiment chest [PDF]
The concept of a flight experiment physical phenomena experiment chest, to be used eventually for investigating and demonstrating ice pack heat sink subsystem physical phenomena during a zero gravity flight experiment, is ...
Dean, W. C., II, Roebelen, G. J., Jr.
core +1 more source
Consolidation of multiple binary distillation columns for large heat duty savings
ABSTRACT The enormous scales of chemical and petrochemical plants present significant challenges in separating and purifying numerous mixed streams generated within a facility, as well as in achieving effective energy utilization and process intensification.
Parikshit S. Kadu, Rakesh Agrawal
wiley +1 more source
PVTE system performance improvement via numerical optimization of heat sink design and fluid working conditions. [PDF]
Azirul A +5 more
europepmc +1 more source
Transient Heat Transfer Characteristics in a Flat Plate Heat Sink with Mini-Channels for Cooling High Heat Flux IGBT. [PDF]
Chen C +6 more
europepmc +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source

