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DTSTART:19700308T020000
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DTSTAMP:20260605T154542Z
LOCATION:Bldg. 6 - Room 102
DTSTART;TZID=Europe/Stockholm:20260701T140000
DTEND;TZID=Europe/Stockholm:20260701T160000
UID:submissions.pasc-conference.org_PASC26_sess161@linklings.com
SUMMARY:MS5D - Advancing Atomistic Materials Modeling with GPUs, Novel Alg
 orithms, and Error-Controlled Methods
DESCRIPTION:Organizer(s): Iurii Timrov, Laura Grigori (EPFL, Paul Scherrer
  Institute), and Michael Herbst (EPFL)\n\nAdvances in computational materi
 als science are increasingly driven by the interplay between high-performa
 nce computing (HPC), algorithmic innovation, and electronic-structure theo
 ry. First-principles simulations based on density-functional theory (DFT) 
 are now essential across physics, chemistry, and engineering, yet their sc
 alability, accuracy, and reliability face growing challenges on modern het
 erogeneous and GPU-centric supercomputers. Addressing these challenges req
 uires more than raw computational power; it demands new algorithms, rigoro
 us error control, and hardware-aware software design. This minisymposium b
 rings together researchers from materials science, applied mathematics, an
 d computer science to explore emerging methods that advance atomistic mate
 rials modeling in the exascale era. Topics include mathematically rigorous
  error estimation in DFT, accelerated and robust self-consistent field alg
 orithms for challenging systems, randomized and mixed-precision approaches
  to large-scale eigenvalue problems, and sustainable porting of electronic
 -structure codes to modern HPC architectures. By highlighting the co-desig
 n of algorithms, numerical methods, and hardware-aware implementations, th
 e session offers an interdisciplinary perspective on how to achieve trustw
 orthy, scalable, and efficient first-principles simulations on next-genera
 tion supercomputers.\n\nGrowing Up Without Growing Old: The Quantum ESPRES
 SO GPU Experience\n\nQuantum ESPRESSO (QE) is an open-source suite of firs
 t-principles electronic-structure and materials modeling codes based on DF
 T, plane waves, and pseudopotentials, grown into a large international use
 r base. Its development history, spanning more than two decades, is driven
  by two complementary goa...\n\n\nLaura Bellentani (CINECA)\n-------------
 --------\nPreconditioning the Self-Consistent Field for Magnetic Systems i
 n Kohn-Sham Density Functional Theory\n\nKohn-Sham density functional theo
 ry (KSDFT) is a widely used method in solid-state physics and chemistry fo
 r simulating the electronic properties of materials. Solving the Kohn-Sham
  equations via self-consistent field (SCF) iterations is computationally d
 emanding. Reducing the numerical cost of KSDF...\n\n\nClémentine Barat (CE
 A, LMO)\n---------------------\nRandom Sketches, Precise Electrons: A Rand
 omized Approach to Density Functional Theory Eigenproblems\n\nElectronic-s
 tructure methods form the computational foundation of modern materials sci
 ence and quantum chemistry, enabling predictions of molecular properties, 
 reaction mechanisms, and solid-state behavior from first principles. At th
 e heart of these methods lies the iterative solution of large Herm...\n\n\
 nMoritz Gubler (Paul Scherrer Institute)\n---------------------\nTrustwort
 hy Materials Simulations: Practical Error Control Techniques in Density-Fu
 nctional Theory\n\nDensity-functional theory (DFT) is a widely used first-
 principles simulation method underpinning materials discovery and driving 
 innovation across engineering, physics, and chemistry. Increasingly, DFT s
 imulations are employed to generate training data for machine-learning mod
 els, accelerating mater...\n\n\nMichael Herbst and Bruno Ploumhans (EPFL)\
 n\nDomain: Chemistry and Materials, Computational Methods and Applied Math
 ematics\n\nSession Chair: Michael Herbst (EPFL)
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