Project acronym NanoFab2D
Project Novel 2D quantum device concepts enabled by sub-nanometre precision nanofabrication
Researcher (PI) Levente Tapaszto
Host Institution (HI) MAGYAR TUDOMANYOS AKADEMIA ENERGIATUDOMANYI KUTATOKOZPONT
Call Details Starting Grant (StG), PE3, ERC-2015-STG
Summary In today’s electronics, the information storage and processing are performed by independent technologies. The information-processing is based on semiconductor (silicon) devices, while non-volatile data storage relies on ferromagnetic metals. Integrating these tasks on a single chip and within the same material technology would enable disruptively new device concepts opening the way towards ultra-high speed electronic circuits. Due to the unique versatility of its electronic and magnetic properties, graphene has a strong potential as a platform for the implementation of such devices. By engineering their structure at the atomic level, graphene nanostructures of metallic, semiconducting, as well as magnetic properties can be realized. Here we propose that the unmatched precision and full edge orientation control of our STM-based nanofabrication technique enables the reliable implementation of such graphene nanostructures, as well as their complex, functional networks. In particular, we propose to experimentally demonstrate the feasibility of (1) semiconductor graphene nanostructures based on the quantum confinement effect, (2) spin-based devices from graphene nanostructures with magnetic edges, as well as (3) novel operation principles based on the interplay of the electronic and spin-degrees of freedom. We propose to demonstrate the electrical control of magnetism in graphene nanostructures, as well as a novel switching mechanism for graphene field effect transistors induced by the transition between two magnetic edge configurations. Exploiting such novel operation mechanisms in graphene nanostructure engineered at the atomic scale is expected to lay the foundations of disruptively new device concepts combining electronic and spin-based mechanisms that can overcome some of the fundamental limitations of today’s electronics.
Summary
In today’s electronics, the information storage and processing are performed by independent technologies. The information-processing is based on semiconductor (silicon) devices, while non-volatile data storage relies on ferromagnetic metals. Integrating these tasks on a single chip and within the same material technology would enable disruptively new device concepts opening the way towards ultra-high speed electronic circuits. Due to the unique versatility of its electronic and magnetic properties, graphene has a strong potential as a platform for the implementation of such devices. By engineering their structure at the atomic level, graphene nanostructures of metallic, semiconducting, as well as magnetic properties can be realized. Here we propose that the unmatched precision and full edge orientation control of our STM-based nanofabrication technique enables the reliable implementation of such graphene nanostructures, as well as their complex, functional networks. In particular, we propose to experimentally demonstrate the feasibility of (1) semiconductor graphene nanostructures based on the quantum confinement effect, (2) spin-based devices from graphene nanostructures with magnetic edges, as well as (3) novel operation principles based on the interplay of the electronic and spin-degrees of freedom. We propose to demonstrate the electrical control of magnetism in graphene nanostructures, as well as a novel switching mechanism for graphene field effect transistors induced by the transition between two magnetic edge configurations. Exploiting such novel operation mechanisms in graphene nanostructure engineered at the atomic scale is expected to lay the foundations of disruptively new device concepts combining electronic and spin-based mechanisms that can overcome some of the fundamental limitations of today’s electronics.
Max ERC Funding
1 496 500 €
Duration
Start date: 2016-07-01, End date: 2021-06-30
Project acronym Tamed Cancer
Project Personalized Cancer Therapy by Model-based Optimal Robust Control Algorithm
Researcher (PI) Levente Adalbert Kovács
Host Institution (HI) OBUDAI EGYETEM
Call Details Starting Grant (StG), PE6, ERC-2015-STG
Summary Imagine if tumor growth would be reduced and then kept in a minimal and safe volume in an automated manner and in a personalized way, i.e. cancer drug would be injected using a continuous therapy improving the patient’s quality of life.
By control engineering approaches it is possible to create model-based strategies for health problems. Artificial pancreas is an adequate example for this, where by continuous glucose measurement device and insulin pump it is possible to improve diabetes treatment. Gaining expertise from this problem, the current proposal focuses on taming the cancer by developing an engineering-based medical therapy.
The interdisciplinary approach focuses on modern robust control algorithm development in order to stop the angiogenesis process (i.e. vascular system development) of the tumor; hence, to stop tumor growth, maintaining it in a minimal, “tamed” form. This breakthrough concept could revitalize cancer treatment. It is the right time to do it as some investigations regarding tumor growth modeling have been already done; now, it should be refined by model identification tools and validated on animal trials. The benefit of robust control was already demonstrated in artificial pancreas; hence, it could be adapted to cancer research. The result could end with a personalized healthcare approach for drug-delivery in cancer, improving quality of life, optimizing drug infusion and minimizing treatment costs. This interdisciplinary approach combines control engineering with mathematics, computer science and medical sciences.
As a result, the model-based robust control approach envisage refining the currently existing tumor growth modeling aspects, design an optimal control algorithm and extend it by robust control theory to guarantee its general applicability. Based on our research background, validation will be done first in a manually controlled way, but then in an automatic mode to propose it for further human investigations.
Summary
Imagine if tumor growth would be reduced and then kept in a minimal and safe volume in an automated manner and in a personalized way, i.e. cancer drug would be injected using a continuous therapy improving the patient’s quality of life.
By control engineering approaches it is possible to create model-based strategies for health problems. Artificial pancreas is an adequate example for this, where by continuous glucose measurement device and insulin pump it is possible to improve diabetes treatment. Gaining expertise from this problem, the current proposal focuses on taming the cancer by developing an engineering-based medical therapy.
The interdisciplinary approach focuses on modern robust control algorithm development in order to stop the angiogenesis process (i.e. vascular system development) of the tumor; hence, to stop tumor growth, maintaining it in a minimal, “tamed” form. This breakthrough concept could revitalize cancer treatment. It is the right time to do it as some investigations regarding tumor growth modeling have been already done; now, it should be refined by model identification tools and validated on animal trials. The benefit of robust control was already demonstrated in artificial pancreas; hence, it could be adapted to cancer research. The result could end with a personalized healthcare approach for drug-delivery in cancer, improving quality of life, optimizing drug infusion and minimizing treatment costs. This interdisciplinary approach combines control engineering with mathematics, computer science and medical sciences.
As a result, the model-based robust control approach envisage refining the currently existing tumor growth modeling aspects, design an optimal control algorithm and extend it by robust control theory to guarantee its general applicability. Based on our research background, validation will be done first in a manually controlled way, but then in an automatic mode to propose it for further human investigations.
Max ERC Funding
1 015 900 €
Duration
Start date: 2016-07-01, End date: 2021-06-30
