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LSQuanT Team
Stephan Roche
  stephan.roche(at)icn2.cat
S. Roche is ICREA Research Professor head of "Theoretical & computational Nanoscience Group" (10 members). He is expert in developing linear scaling quantum transport methods and its recent publications gathered 1500-2000 citations/year. He serves as Spintronic workpackage leader in the Graphene Flagship since 2013, and is leading the "Enabling Science and Materials" Division. He is Editor in Chief of J. Phys. Materials from IoP and main organiser of www.grapheneconf.com and since 2021 www.quantumconf.eu
Aron Cummings
  aron.cummings(at)icn2.cat
Dr. Aron Cummings is a Senior Researcher at the Catalan Institute of Nanoscience and Nanotechnology (ICN2). He received a BS degree in Computer Engineering and an MS in Electrical Engineering from Washington State University, and a PhD in Electrical Engineering from Arizona State University. He was a postdoctoral researcher at Sandia National Laboratories before joining ICN2. He has >15 years of experience in the numerical simulation of the transport of heat, charge, and spin in low-dimensional materials and systems.
Jose Hugo García
  josehugo.garcia(at)icn2.cat
Computational physicist with broad experience in applying HPC algorithms in multi-core and GPU-CUDA platforms for quantum transport problems. Over the years I had developed different methods for an efficient extraction of nonequilibrium properties in linear response, with aim in macroscale systems containing millions of atoms. More recently, I had focused on studying the spin-orbit coupling and exchange interplay oriented toward ultralow-power memory applications.
Luis-Manuel Canonico
  luis.canonico(at)icn2.cat
Dr. Luis Canonico is a postdoctoral researcher at the Catalan Institute of Nanoscience and Nanotechnology. He received his MSc. and Ph.D. from the Universidade Federal Fluminense. His research focuses on the theoretical and computational study of charge, spin, orbital moments, energy transport, and the topological properties of quantum materials. He developed simulation tools optimized for multi-CPU and -GPU architectures that allow the combination of density functional theory calculations, linear response theory, and the kernel polynomial method for evaluating these properties in models of disordered systems composed of many millions of atoms.
Andrei Voicu Tomut
  andrei.tomut(at)icn2.cat
Andrei Voicu Tomut, Research Assistant at the Catalan Institute of Nanoscience and Nanotechnology, received his M.Sc. in Quantum Science and Technology from the Universitat de Barcelona. He focuses on accelerating simulations and the discovery of 2D materials by customizing ML algorithms, often employed in large language models and diffusion models.
 
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