Results 111 to 120 of about 20,861 (259)

High thermoelectric figure of merit of porous Si nanowires from 300 to 700 K. [PDF]

open access: yesNat Commun, 2021
Yang L   +14 more
europepmc   +1 more source

Interplay of Backbone Conformation, Morphology and Thermoelectric Properties of Benzodifuranone‐Isatin Acceptor Polymers

open access: yesAdvanced Electronic Materials, EarlyView.
Modification of polymer backbone via halogenation and comonomer selection leads to conjugated backbones of different stereoelectronic properties, thin film morphologies, and electrical characteristics. The interplay of conformational isomerism, coplanarity, backbone curvature, backbone orientation, and ordering in thin films, electrical conductivity ...
Diego R. Hinojosa   +11 more
wiley   +1 more source

Effect of Regiochemistry on Doping and Thermoelectric Properties of n‐Doped Fullerene Derivatives

open access: yesAdvanced Electronic Materials, EarlyView.
Three fullerene derivatives doubly substituted with diethylene glycol chains (PDEG‐2) is presented. The different regiochemistry significantly affects the crystallinity and consequently the dielectric properties, electronic transport, and doping efficiency. By striking a balance between compatibility with the molecular dopant N‐DMBI and crystallinity a
Federico Ferrari   +7 more
wiley   +1 more source

Thermoelectric figure of merit and the deconfinement phase transition

open access: yesPhysics Letters B
Thermoelectric phenomena are traditionally associated with the interconversion of thermal and electrical energy in many-body systems. In the context of high-temperature quantum chromodynamics (QCD) matter produced in relativistic heavy-ion collisions ...
Kamaljeet Singh, Raghunath Sahoo
doaj   +1 more source

Figure of merit of Bi2Te3 thermoelectric nanowires

open access: yes, 2017
Trabajo presentado en el E-MRS Spring Meeting and Exhibit, celebrado en Estrasburgo (Francia), del 22 al 26 de mayo de ...
Caballero-Calero, Olga   +7 more
openaire   +1 more source

Topological Materials and Related Applications

open access: yesAdvanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti   +9 more
wiley   +1 more source

Toward a Rational Design of Conjugated Copolymers with Oxygenated Side Chains for Boosting Thermoelectric Properties

open access: yesAdvanced Energy Materials, EarlyView.
The molecular design strategy that integrates both side chain and backbone engineering in diketopyrrolopyrrole‐based conjugated polymers to identify the optimal balance between doping efficiency and microstructural order is demonstrated. Comprehensive spectroscopic, electrochemical, morphological, and structural characterizations reveal that the ...
Taewoong Han   +13 more
wiley   +1 more source

Dual Band Optimization and Defect Engineering Enable Ultrahigh Thermoelectric Performance in Filled Skutterudites

open access: yesAdvanced Energy Materials, EarlyView.
A synergistic dual‐modulation strategy is employed in Yb‐filled skutterudites through concurrent indium filling and tellurium doping to optimize electronic band structure and phonon scattering. Cooperative band convergence and nanoprecipitate‐induced lattice distortions yield a high zT of 1.72 and enable an ultra‐efficient thermoelectric device with 8 ...
Xuri Rao   +10 more
wiley   +1 more source

Thermoelectric efficiency has three Degrees of Freedom

open access: yes, 2018
Thermal energy can be directly converted to electrical energy as a result of thermoelectric effects. Because this conversion realises clean energy technology, such as waste heat recovery and energy harvesting, substantial efforts have been made to search
Chung, Jaywan   +2 more
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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