Loriano Storchi

发表

Precision measurement of the structure of the CMS inner tracking system using nuclear interactions

Seema Bahinipati, Steven R. Simon, Y. Wang, 2018 .

Tautomer Enumeration and Stability Prediction for Virtual Screening on Large Chemical Databases

Loriano Storchi, Simon Cross, Francesca Milletti, 2009, J. Chem. Inf. Model..

A Pattern Recognition Mezzanine based on Associative Memory and FPGA technology for Level 1 Track Triggers for the HL-LHC upgrade

Pisana Placidi, D. Magalotti, Aniello Spiezia, 2016 .

Parallelization of a relativistic DFT code

Loriano Storchi, Antonio Sgamellotti, Harry M. Quiney, 2004, Future Gener. Comput. Syst..

Automated Simulation of Gas-Phase Reactions on Distributed and Cloud Computing Infrastructures

Antonio Laganà, Sergio Rampino, Loriano Storchi, 2017, ICCSA.

PCA fitter CMSSW version for L! track Finding

Loriano Storchi, 2016 .

A Real-Time Demonstrator for Track Reconstruction in the CMS L1 Track-Trigger System Based on Custom Associative Memories and High-Performance FPGAs

D. Magalotti, Fabrizio Palla, Matthias Balzer, 2018 .

Linear Algebra Computation Benchmarks on a Model Grid Platform

Antonio Laganà, Osvaldo Gervasi, Carlo Manuali, 2003, International Conference on Computational Science.

Track finding mezzanine for Level-1 triggering in HL-LHC experiments

Leonello Servoli, Guido Magazzù, Spiridon Nikolaidis, 2017, 2017 6th International Conference on Modern Circuits and Systems Technologies (MOCAST).

The DAQ and control system for the CMS Phase-1 pixel detector upgrade

Satoshi Hasegawa, Francois Vasey, A. V. Popov, 2019, Journal of Instrumentation.

The BondMachine toolkit: Enabling Machine Learning on FPGA

Daniele Spiga, Daniele Bonacorsi, Davide Salomoni, 2019 .

Harvesting dispersed computational resources with Openstack: a Cloud infrastructure for the Computational Science community

Daniele Spiga, Diego Ciangottini, Loriano Storchi, 2018 .

Characterization of PD-L1 binding sites by a combined FMO/GRID-DRY approach

Loriano Storchi, Cecilia Coletti, Roberto Paciotti, 2020, Journal of Computer-Aided Molecular Design.

Full Parallel Implementation of an All-Electron Four-Component Dirac-Kohn-Sham Program.

Sergio Rampino, Loriano Storchi, Leonardo Belpassi, 2014, Journal of chemical theory and computation.

Implementation and use of a direct, partially integral‐driven non‐Dyson propagator method for molecular ionization

Loriano Storchi, Francesco Tarantelli, Giuseppe Vitillaro, 2009, J. Comput. Chem..

BERTHA and PyBERTHA: State of the Art for Full Four-Component Dirac-Kohn-Sham Calculations

Loriano Storchi, Leonardo Belpassi, Matteo de Santis, 2019, PARCO.

Environmental effects with Frozen Density Embedding in Real-Time Time-Dependent Density Functional Theory using localized basis functions.

Loriano Storchi, Lucas Visscher, Christoph R Jacob, 2020, Journal of chemical theory and computation.

Chemical Characterization of Super-Heavy Elements by Relativistic Four-Component DFT

Loriano Storchi, Leonardo Belpassi, Francesco Tarantelli, 2009, PARCO.

A cloud-based solution for public administrations: The experience of the Regione Marche

Damiano Falcioni, Barbara Re, Serenella Carota, 2014, 2014 International Conference on Collaboration Technologies and Systems (CTS).

New and Original pKa Prediction Method Using Grid Molecular Interaction Fields

Loriano Storchi, Francesca Milletti, Gianluca Sforna, 2007, J. Chem. Inf. Model..

Efficient Parallel All-Electron Four-Component Dirac-Kohn-Sham Program Using a Distributed Matrix Approach II.

Sergio Rampino, Loriano Storchi, Harry M. Quiney, 2010, Journal of chemical theory and computation.

A database approach for materials selection for hydrogen storage in aerospace technology

Loriano Storchi, Savino Longo, Carla Maria Coppola, 2019, Rendiconti Lincei. Scienze Fisiche e Naturali.

Computing Molecular Energy Surfaces on a Grid

Antonio Laganà, Loriano Storchi, Francesco Tarantelli, 2006, ICCSA.

Combining machine learning and quantum mechanics yields more chemically aware molecular descriptors for medicinal chemistry applications

Loriano Storchi, Gabriele Cruciani, Giovanni Bocci, 2021, J. Comput. Chem..

The CMS Phase-1 pixel detector upgrade

A. Tsirou, Federico Faccio, A. Marchioro, 2021, Journal of Instrumentation.

Hampering the early aggregation of PrP-E200K protein by charge-based inhibitors: a computational study

Loriano Storchi, Alessandro Marrone, Roberto Paciotti, 2021, Journal of Computer-Aided Molecular Design.

The BondMachine, a moldable computer architecture

Daniele Spiga, Loriano Storchi, Mirko Mariotti, 2021, Parallel Comput..

Cover Image

Loriano Storchi, Giovanni Bocci, Emanuele Carosati, 2021, J. Comput. Chem..

Randentropy: A Software to Measure Inequality in Random Systems

Guglielmo D'Amico, Loriano Storchi, Stefania Scocchera, 2021, Informatica.

Tautomer Enumeration and Stability Prediction for Virtual Screening on Large Chemical Databases.

Loriano Storchi, Gabriele Cruciani, Simon Cross, 2009 .

Inherent electronic trap states in TiO2 nanocrystals: effect of saturation and sintering

Loriano Storchi, Annabella Selloni, Michael Grätzel, 2013 .

An Efficient Parallel All-Electron Four-Component Dirac-Kohn-Sham Program Using a Distributed Matrix Approach.

Loriano Storchi, Antonio Sgamellotti, Harry M Quiney, 2010, Journal of chemical theory and computation.

In silico pKa Prediction and ADME Profiling

Loriano Storchi, Gabriele Cruciani, Laura Goracci, 2010 .

Extending pKa prediction accuracy: high-throughput pKa measurements to understand pKa modulation of new chemical series.

Manfred Kansy, Loriano Storchi, Gabriele Cruciani, 2010, European journal of medicinal chemistry.

Predicting protein pKa by environment similarity

Loriano Storchi, Gabriele Cruciani, G. Cruciani, 2009, Proteins.

Financial risk distribution in European Union

Guglielmo D'Amico, Loriano Storchi, Stefania Scocchera, 2018, Physica A: Statistical Mechanics and its Applications.

New and Original pKa Prediction Method Using Grid Molecular Interaction Fields.

Loriano Storchi, Gabriele Cruciani, G. Cruciani, 2008 .

In silico pKa Prediction and ADME Profiling

Loriano Storchi, Gabriele Cruciani, Laura Goracci, 2009, Chemistry & biodiversity.