Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Diego, Milardovich"'
Autor:
Diego Milardovich, Victor H. Souza, Ivan Zubarev, Sergei Tugin, Jaakko O. Nieminen, Claudia Bigoni, Friedhelm C. Hummel, Juuso T. Korhonen, Dogu B. Aydogan, Pantelis Lioumis, Nima Taherinejad, Tibor Grasser, Risto J. Ilmoniemi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The analysis of motor evoked potentials (MEPs) generated by transcranial magnetic stimulation (TMS) is crucial in research and clinical medical practice. MEPs are characterized by their latency and the treatment of a single patient may requi
Externí odkaz:
https://doaj.org/article/dbf5ca0facff411aa7a813a0f33984cd
Autor:
Jaakko O. Nieminen, Heikki Sinisalo, Victor H. Souza, Mikko Malmi, Mikhail Yuryev, Aino E. Tervo, Matti Stenroos, Diego Milardovich, Juuso T. Korhonen, Lari M. Koponen, Risto J. Ilmoniemi
Publikováno v:
Brain Stimulation, Vol 15, Iss 1, Pp 116-124 (2022)
Background: Transcranial magnetic stimulation (TMS) allows non-invasive stimulation of the cortex. In multi-locus TMS (mTMS), the stimulating electric field (E-field) is controlled electronically without coil movement by adjusting currents in the coi
Externí odkaz:
https://doaj.org/article/8e1432d7eb8f44fdac62cfc589f0c4e1
Autor:
Christoph Wilhelmer, Dominic Waldhoer, Lukas Cvitkovich, Diego Milardovich, Michael Waltl, Tibor Grasser
Publikováno v:
Nanomaterials, Vol 13, Iss 16, p 2286 (2023)
Silicon nitride films are widely used as the charge storage layer of charge trap flash (CTF) devices due to their high charge trap densities. The nature of the charge trapping sites in these materials responsible for the memory effect in CTF devices
Externí odkaz:
https://doaj.org/article/cbe36dc38ea0429f892842124cd217d3
Autor:
Jaakko Nieminen, Heikki Sinisalo, Victor Souza, Mikko Malmi, Mikhail Yuryev, Aino Tervo, Matti Stenroos, Diego Milardovich, Juuso Korhonen, Lari Koponen
Publikováno v:
Brain Stimulation, Vol 14, Iss 6, Pp 1750- (2021)
Externí odkaz:
https://doaj.org/article/1859a55aa5c542c9a9c4eccc42645ac7
Autor:
Diego Milardovich, Christoph Wilhelmer, Dominic Waldhoer, Lukas Cvitkovich, Ganesh Sivaraman, Tibor Grasser
Publikováno v:
The Journal of Chemical Physics. 158
Silicon nitride (Si3N4) is an extensively used material in the automotive, aerospace, and semiconductor industries. However, its widespread use is in contrast to the scarce availability of reliable interatomic potentials that can be employed to study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85212a4410bed220a51305ce96706607
https://doi.org/10.1063/5.0146753
https://doi.org/10.1063/5.0146753
Publikováno v:
Solid-State Electronics. 200:108529
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27412692976410373e2229738e6a38cd
https://doi.org/10.1016/j.sse.2022.108529
https://doi.org/10.1016/j.sse.2022.108529
Autor:
Juuso T. Korhonen, Lari M. Koponen, Heikki Sinisalo, Risto J. Ilmoniemi, Jaakko O. Nieminen, Mikko Malmi, Aino E. Tervo, Mikhail Yuryev, Matti Stenroos, Diego Milardovich, Victor H. Souza
BackgroundTranscranial magnetic stimulation (TMS) allows non-invasive stimulation of the cortex. In multi-locus TMS (mTMS), the stimulating electric field (E-field) is controlled electronically without coil movement by adjusting currents in the coils
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d881901cb85a4b38a81c69770b8ea2
https://doi.org/10.1101/2021.09.20.461045
https://doi.org/10.1101/2021.09.20.461045
Autor:
Jaakko O, Nieminen, Heikki, Sinisalo, Victor H, Souza, Mikko, Malmi, Mikhail, Yuryev, Aino E, Tervo, Matti, Stenroos, Diego, Milardovich, Juuso T, Korhonen, Lari M, Koponen, Risto J, Ilmoniemi
Publikováno v:
Brain Stimulation
Background Transcranial magnetic stimulation (TMS) allows non-invasive stimulation of the cortex. In multi-locus TMS (mTMS), the stimulating electric field (E-field) is controlled electronically without coil movement by adjusting currents in the coil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::500440d9e2ba65d2943dd35494659eb4
https://pubmed.ncbi.nlm.nih.gov/34818580
https://pubmed.ncbi.nlm.nih.gov/34818580
Publikováno v:
ESSDERC 2021 - IEEE 51st European Solid-State Device Research Conference (ESSDERC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09bc7611089dc17cb8ee76c53bb6523b
https://doi.org/10.1109/essderc53440.2021.9631837
https://doi.org/10.1109/essderc53440.2021.9631837
Publikováno v:
2020 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)
Due to its stochastic nature, the calculation of defect formation energies in amorphous structures is a CPU-intensive task. We demonstrate the use of machine learning to predict defect formation energies to significantly minimize the number of requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75a6dd34a6064e1ba9efb7b3b2f1ec2b