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Institution

Aalto University

EducationEspoo, Finland
About: Aalto University is a education organization based out in Espoo, Finland. It is known for research contribution in the topics: Population & Carbon nanotube. The organization has 9969 authors who have published 32648 publications receiving 829626 citations. The organization is also known as: TKK & Aalto-korkeakoulu.


Papers
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Book ChapterDOI
TL;DR: A new method for solving multiple criteria mathematical programming problems, which operates solely in terms of efficient solutions contrary to the GDF method, and which uses the idea of using reference goals or aspiration levels for determining a direction of improvement.

366 citations

Journal ArticleDOI
TL;DR: This work proposes and realizes an electronic MD based on a single-electron box operated as a Szilard engine, where kBT ln 2 of heat is extracted from the reservoir at temperature T per one bit of created information.
Abstract: The most succinct manifestation of the second law of thermodynamics is the limitation imposed by the Landauer principle on the amount of heat a Maxwell demon (MD) can convert into free energy per single bit of information obtained in a measurement We propose and realize an electronic MD based on a single-electron box operated as a Szilard engine, where kBT ln 2 of heat is extracted from the reservoir at temperature T per one bit of created information The information is encoded in the position of an extra electron in the box

366 citations

Journal ArticleDOI
TL;DR: An eight-factor socio-motivational model, based on Uses and Gratifications Theory, was trialled to explain four aspects of live-stream viewer engagement: social interaction, sense of community, meeting new people, entertainment, information seeking, and a lack of external support in real life.

365 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of ion irradiation on graphene were studied using atomistic computer simulations based on analytical potential and density functional theory models, and the authors identified the types and concentrations of defects which appeared in graphene under impacts of various ions with energies ranging from tens of electron volts to mega-electron volts.
Abstract: Using atomistic computer simulations based on analytical potential and density-functional theory models, we study effects of ion irradiation on graphene. We identify the types and concentrations of defects which appear in graphene under impacts of various ions with energies ranging from tens of electron volts to mega-electron volts. For two-dimensional targets, defects beyond single and double vacancies are formed via in-plane recoils. We demonstrate that the conventional approach based on binary-collision approximation and stochastic algorithms developed for bulk solids cannot be applied to graphene and other low-dimensional systems. Finally, taking into account the gas-holding capacity of graphene, we suggest the use of graphene as the ultimate membrane for ion-beam analysis of gases and other volatile systems which cannot be put in the high vacuum required for the operation of ion beams.

364 citations

Journal ArticleDOI
TL;DR: In this article, the authors reviewed the scientific literature on airflow distribution systems and ventilation effectiveness to identify and assess the most suitable room air distribution methods for various spaces, and showed that the assessment of ventilation effectiveness or efficiency should be determined according to each task of the ventilation system, such as removing heat, removal of pollutant, supply fresh air to the breathing zone or protecting the occupant from cross infection.

363 citations


Authors

Showing all 10135 results

NameH-indexPapersCitations
John B. Goodenough1511064113741
Ashok Kumar1515654164086
Anne Lähteenmäki11648581977
Kalyanmoy Deb112713122802
Riitta Hari11149143873
Robin I. M. Dunbar11158647498
Andreas Richter11076948262
Mika Sillanpää96101944260
Muhammad Farooq92134137533
Ivo Babuška9037641465
Merja Penttilä8730322351
Andries Meijerink8742629335
T. Poutanen8612033158
Sajal K. Das85112429785
Kalle Lyytinen8442627708
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023101
2022342
20212,842
20203,030
20192,749
20182,719