Results 181 to 190 of about 306,716 (312)

Synergistic Bi–Te Antisite Defects and Crystalline‐Amorphous Hybrid Structure Enable Record‐High Thermoelectric Performance in Flexible Bi2Te2.7Se0.3 Films

open access: yesAdvanced Energy Materials, EarlyView.
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]

open access: yesMaterials (Basel)
Xia Z   +8 more
europepmc   +1 more source

Fanless, porous graphene-copper composite heat sink for micro devices. [PDF]

open access: yesSci Rep, 2021
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]

open access: yes
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

open access: yesAIChE Journal, EarlyView.
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

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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