Publications related to Ideal theory

Reactivation of variably sealed joints and permeability enhancement in geothermal reservoir rocks

Alexandra Roma Larisa Kushnir, Michael Heap

Hydraulic stimulation of enhanced deep geothermal reservoirs commonly targets pre-existing joint networks with the goal of increasing reservoir permeability. Here, we study the permeability and strength of joint-free and jointed Buntsandstein sandstones fr ...

2023

Mechanisms of Plasma-Seed Treatments as a Potential Seed Processing Technology

Ivo Furno, Alan Howling, Alexandra Waskow

Plasma treatments are currently being assessed as a seed processing technology for agricultural purposes where seeds are typically subjected to pre-sowing treatments to improve the likelihood of timely and uniform germination. The aim of this review is to ...

2021

Certification of the efficient random number generation technique based on single-photon detector arrays and time-to-digital converters

Edoardo Charbon, Samuel Burri

True random number generators (TRNGs) allow the generation of true random bit sequences, guaranteeing the unpredictability and perfect balancing of the generated values. TRNGs can be realised from the sampling of quantum phenomena, for instance, the detect ...

Hoboken2021

Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles

Michele Ceriotti, David Mark Wilkins, Max David Veit, Yang Yang

The molecular dipole moment (mu) is a central quantity in chemistry. It is essential in predicting infrared and sum-frequency generation spectra as well as induction and long-range electrostatic interactions. Furthermore, it can be extracted directly-via t ...

AMER INST PHYSICS2020

Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles

Michele Ceriotti, David Mark Wilkins, Max David Veit

2020

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Pascal Frossard, Babak Falsafi, Ahmet Caner Yüzügüler, Mario Paulo Drumond Lages De Oliveira, Firat Çelik

Deep neural network (DNN) inference tasks are computationally expensive. Digital DNN accelerators offer better density and energy efficiency than general-purpose processors but still not sufficient to be deployable on resource-constrained settings. Analog ...

2019

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Pascal Frossard, Babak Falsafi, Ahmet Caner Yüzügüler, Mario Paulo Drumond Lages De Oliveira, Firat Çelik

2019

Renewable energy storage via CO2 and H-2 conversion to methane and methanol: Assessment for small scale applications

Emanuele Moioli, Robin Tobias Andreas Mutschler

This study analyses the power to methane - and to methanol processes in the view of their efficiency in energy storage. A systematic investigation of the differences on the two production systems is performed. The energy storage potential of CO2 to methano ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Robust Real-Time Control of Power Grids in the Presence of Communication Network Non-Idealities

Jean-Yves Le Boudec, Mario Paolone, Lorenzo Enrique Reyes Chamorro, Wajeb Saab, Roman Rudnik

Deploying a power grid controller in the field makes it susceptible to message losses caused by the inherent uncertainties and non-idealities of communication networks, especially when the control action is taken at a sub-second time-scale. We consider a c ...

2018

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Ideal theory

The multivariate Serre conjecture ring

Reactivation of variably sealed joints and permeability enhancement in geothermal reservoir rocks

Mechanisms of Plasma-Seed Treatments as a Potential Seed Processing Technology

Certification of the efficient random number generation technique based on single-photon detector arrays and time-to-digital converters

Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles

Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Renewable energy storage via CO2 and H-2 conversion to methane and methanol: Assessment for small scale applications

Robust Real-Time Control of Power Grids in the Presence of Communication Network Non-Idealities

Graph Chatbot

Chat with Graph Search

Renewable energy storage via CO2 and H-2 conversion to methane and methanol: Assessment for small scale applications

The multivariate Serre conjecture ring

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles

Robust Real-Time Control of Power Grids in the Presence of Communication Network Non-Idealities

Mechanisms of Plasma-Seed Treatments as a Potential Seed Processing Technology

Reactivation of variably sealed joints and permeability enhancement in geothermal reservoir rocks

Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles

Certification of the efficient random number generation technique based on single-photon detector arrays and time-to-digital converters

Analog Neural Networks with Deep-submicron Nonlinear Synapses