Conferences  >  Physics  >  Computational Physics and Numerical Simulation

The aim of this program is to foster the development of new mathematical tools and formalisms that will enable a new generation of ultra-scalable algorithms for a broad range of applications in computational materials science. Topics of interest will include strategies for scalable single-scale simulations, novel massively-parallel scale-bridging algorithms, and integration of extreme-scale computing into experimental and data science workflows. The program will bring together applied mathematicians, materials scientists, computer scientists, and method developers interested in unlocking the potential of upcoming exascale architectures through novel mathematical approaches.

MIAPbP - Munich Institute for Astro-, Particle and BioPhysics

Domains such as cosmology, astrophysics, nuclear or particle physics rely heavily on the use of stochastic simulation to design data analyses and perform inference with respect to fundamental physics theories. With the advances of Deep Learning, Bayesian inference techniques, a new frontier has come into view that focuses on the extension of traditional scientific programming along the two distinct directions of differentiable programming and probabilistic programming. The former plays an important role in navigating high-dimensional spaces, while the latter can manifestly incorporate generative modeling and inference into scientific data analyses. Both promise to expand the science reach of data-intensive domains through, e.g., the integration of domain knowledge and symmetries into neural networks, algorithmic robustness, alignment of science and training optimization goals, uncertainty quantification, causal inference, and more complete inference. However, most production scientific pipelines are not yet compatible with these techniques and their widespread adoption would represent a deep change in the scientific software landscape. This program will provide the opportunity for researchers from Computer Science and Fundamental Physics to develop applications as well as strategies for integrating these paradigms into existing scientific workflows and to close the gap of what is theoretically possible and practically deployed.

High Energy Physics, Particles and Fields,    Scientific Computing and Data Science

Programming will feature all aspects of solidification modelling including solidification process technologies (continuous and semi-continuous casting, shape casting, additive manufacturing, and welding amongst others), coupled multi-physics simulations, defect formation, fluid flow, micro and macro structure formation, numerical methods, as well as related experimentation especially in-situ observation of solidification.

MIAPbP - Munich Institute for Astro-, Particle and BioPhysics

We are happy to announce that the Differentiable and Probabilistic Programming for Fundamental Physics program includes a three day workshop. The workshop will contain talks about recent advancements in differentiable programming (DP) and probabilistic programming in the context of Physical Sciences. The workshop's diverse set of invited speakers will cover DP/ProbProg users and experts, toolmakers and authors of promising technologies. The workshop aims to explore the potential science impact of DP/ProbProg and to understand the steps towards, and challenges of, a successful implementation of these paradigms in fundamental physics.

High Energy Physics, Particles and Fields,    Scientific Computing and Data Science

Modelling physical properties of rocks based on microstructure derived from X-ray microtomographic images (known as digital rock physics) is an important technology in geophysical rock characterization. However, these images are most commonly obtained at room pressure and temperature conditions. Consequently, most digital rock physics models are not representative of the rocks at depth.

In this lecture, we will discuss the ways how to obtain 3D images under elevated temperature and stress conditions, as well the challenges with the imaging and further image processing. Finally, we will provide some results to demonstrate how microstructure of the rocks can be link to transport and elastic properties of rocks measured on bigger samples.

IEEE Microwave Theory & Techology Society (MTT-S)

NEMO'2023 will bring together experts and practitioners of electromagnetic and multiphysics-based modeling, simulation and optimization for RF, microwave and terahertz applications. This conference is an ideal forum to share new ideas on techniques for electromagnetic and multiphysics modeling, propose efficient design algorithms and tools, and anticipate the modeling/analysis needs of future technologies and applications.

Electrostatics, Electromagnetic Waves,    Electronic Engineering

APCTP, Pohang (Korea)

The program aims at bringing together different communities of theoretical physicists who are working on numerical methods to investigate those types of questions. Cross-fertilizing ideas and finding common ground should inspire new ways of thinking about these problems and stimulate more rapid progress.

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

This workshop will bring together mathematicians with expertise spanning the theoretical, numerical, discrete and computational geometry and partial differential equations (PDEs) and computer scientists with related interests to identify and discuss some of the most promising areas for advances in the understanding and application in geometric data analysis.

Calculus, Differential Equations and Integration,    Algorithms and Data Structures

International Union of Pure and Applied Physics (IUPAP)

CCP2023 is the 34th in a series of meetings of scientists working in the domain of Computational Physics. The Conference on Computational Physics (CCP) is held every year under the auspices of the C20 Commission for Computational Physics of the International Union of Pure and Applied Physics (IUPAP). The conference includes a broad range of computational scientists with common interests in communicating and engaging with their computation-oriented colleagues to exchange information and develop future collaborations. We plan to hold CCP2023 in a hybrid way, namely, on-site and on-line (using an Internet conference system).

Institute for Advanced Study in Mathematics (IASM) in Hangzhou, China

This is a 5-day workshop with about 42 participants. It will focus on the study of the theoretical partial differential equations and application in fluid dynamics, emphasizing the study on the structure of solutions and their large-time behavior to Navier-Stokes equations, Euler equations, Boltzmann equations, and so on. The conference will serve as a platform to report new breakthroughs, exchange research ideas, extend academic networks, and promote diversity and inclusion in this research field. New collaborations are also expected during and after the meeting. Topnotch speakers and talks will be carefully selected to make the conference attractive to a diverse audience.

Applied Mathematics (in general),    Calculus, Differential Equations and Integration

Mathematics and Computation Division of the American Nuclear Society

The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2023) is a part of a series of topical meetings organised by the Mathematics and Computation Division of the American Nuclear Society. The M&C conferences, held every two years, represent a series of international forums organised and sponsored to bring together worldwide expertise related to nuclear science or technology including mathematical and computational methods, numerical analysis, computer codes, computer architectures, and benchmarks for computationally solving problems in all disciplines encompassed by the Society.

Nuclear Energy,    Applied Mathematics (in general)

American Nuclear Society (ANS)

Nuclear Energy,    Thermodynamics, Fluid Dynamics and Statistical Physics

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Modeling and Simulation,    Mathematical Physics

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

The interface between biology and quantitative disciplines including physics, mathematics and engineering is rapidly expanding. This is the result of many factors, but is largely driven by higher resolution spatial and temporal data from cutting edge imaging techniques, and increasing success in applying physical modeling techniques to biological problems. Mechanobiology is an especially rapidly developing field at the quantitative biology interface. This field describes how force is generated in biological systems, how force impacts chemistry, and how force generation is controlled by intracellular signaling pathways. Numerous feedforward and feedback interactions connect forces in cells to the dynamics of proteins and gene expression, resulting in highly nonlinear systems with complex and often non-intuitive behaviours.

Systems Biology and Computational Biology,    Biophysics, Medical Physics

CIRM – Centre International de Rencontres Mathématiques

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Most of the many discrete optimization problems arising in the sciences, engineering, and mathematics are NP-hard, that is, there exist no efficient algorithms to solve them to optimality, assuming the conjecture that P does not equal NP. The area of approximation algorithms focuses on the design and analysis of efficient algorithms that find solutions that are within a guaranteed factor of the optimal one. Loosely speaking, in the context of studying algorithmic problems, an approximation guarantee captures the quality of an algorithm -- for every possible set of input data for the problem, the algorithm finds a solution whose cost is within this factor of the optimal cost. A hardness threshold indicates the difficulty of the algorithmic problem -- no efficient algorithm can achieve an approximation guarantee better than the hardness threshold assuming that P does not equal NP. Over the last two decades, there have been major advances on the design and analysis of approximation algorithms, and on the complementary topic of the hardness of approximation. The goal of the workshop is to focus on a few key topics that could lead to deep new results in the areas of approximation algorithms, combinatorial optimization, hardness of approximation, and proof complexity.

Mathematical Physics,    Algorithms and Data Structures

In a classic paper 50 years ago, Kugel and Khomskii demonstrated that in strongly-correlated systems orbital ordering can arise from a purely electronic super-exchange mechanism and not just the conventional co-operative Jahn-Teller effect. This work opened the field of orbital physics — a field which, since then, is undergoing continuous growth. It was understood that, beside orbital ordering, super-exchange can give rise to the orbital analogue of spin-liquid states. It was shown that the directional character of the orbitals can introduce anisotropic super-exchange interactions, which, in a simplified setting, are described by compass models, a prototype for the Kitaev model. This opened new avenues of its own. More surprising phenomena arise from the entanglement of spin and orbital degrees of freedom. New developments aim at dynamically tuning orbital occupations by pushing the system out of equilibrium, and at orbital-controlled electronics.

The goal of this year’s school is to provide students with an overview of the state-of-the art in the field of orbital physics in strongly correlated systems and the techniques used to investigate them. After introducing fundamental models and effects, lectures will focus on these effects in real materials, with introductions to crystallography and symmetries, methods for building minimal tight-binding Hamiltonians, the Jahn-Teller effect, and Coulomb-enhancements of the Jahn-Teller effect. Advanced lectures will address orbital ordering, orbital liquids and Kitaev materials, as well as theoretical approaches, from self-interaction corrected density functionals to dynamical mean-field theory and beyond. Experimental lectures will present probes of spin, orbital, and charge degrees of freedom, techniques to image orbitals and orbital ordering, as well as orbitally-controlled transport phenomena.

Email: correl23@fz-juelich.de

Orbital physics, orbital ordering, multi-orbital Hubbard model, strong-correlations, DMFT, Jahn-Teller, group theory, Kitaev materials, Mott transition, quantum Montecarlo, spin and orbital liquid, theory and experiments

Quantum materials, Low Temperature Physics,    Condensed Matter Physics and Materials

Institute for Advanced Study in Mathematics (IASM) in Hangzhou, China

Recursion theory measures the complexity of mathematical objects in terms of what is computable, in other words, what can be determined by a computer with no space or time limitations. We can define, for example, computable sets of natural numbers, computable (continuous) functions on the real numbers, or computably enumerable open subsets of the reals. Adding an oracle---an outside source of information---allows us to extend the reach of recursion theory beyond the computable. For example, every continuous function on the real numbers is a computable function relative to some oracle. For another example, a set of real numbers has Hausdorff dimension zero if and only if there is an oracle relative to which every real in the set can be significantly compressed. In this way, recursion theory offers a fine-grained way to analyze some of the most central notions in mathematics. This has recently led to deep applications to analysis, number theory, and set theory. The focus of this workshop is on understanding and extending these applications of recursion theory.

CIRM – Centre International de Rencontres Mathématiques

Modeling and Simulation,    Scientific Computing and Data Science

IIT Jodhpur

The 10th International and 50th (Golden Jubilee) National Conference on Fluid Mechanics and Fluid Power will be held at the Indian Institute of Technology Jodhpur, Rajasthan, India. This conference is organized every year since 1969 at different venues in India with the guidance of National Society for Fluid Mechanics and Fluid Power (NSFMFP). The primary aim of this conference is to provide a platform and bring together the experts around the world to share the state-of-the-art information on various fluid mechanics and fluid power related topics. The society aims to disseminate and propagate knowledge in the fields of fluid mechanics in the country and to play a lead role in training the new teachers engaged in teaching of fluid mechanics and allied subjects. Apart from the conference, NSFMFP also organises various workshops focusing on the fluid mechanics research methodologies. The main role of these workshops is to train the young talented minds and inculcate the research interest in both Undergraduate and Postgraduate levels in the domain of the fluid mechanics.

Dr. Hardik Kothadia;     Phone: [+91-291-2801512];     Email: fmfp2023@iitj.ac.in

Fundamental Studies in Fluid Mechanics, Measurement Techniques in Fluid Flows, Computational Fluid Dynamics, Instability, Transition and Turbulence, Fluid-structure Interaction, Multiphase Flows, Micro-Nano Scale Transport, Bio-Fluid Mechanics, Aerodynamics, Turbomachinery, Propulsion and Power, Non-newtonian fluid flows; Nanofluid; Magnetohydrodynamics and Electrohydrodynamics flows; Granular flows; Nuclear reactor thermal hydraulics; Fluidized bed technology; Environmental fluid mechanics; Data-driven fluid mechanics; Transport phenomenon in material processing and manufacturing processes; Energy engineering; Ocean engineering; Petroleum engineering; Fluid mechanics and fluid power education etc.

Mechanical engineering,    Thermodynamics, Fluid Dynamics and Statistical Physics

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Optics and Lasers,    Applied Mathematics (in general)

Isaac Newton Institute for Mathematical Sciences (INI)

Our workshop on Climate Applications of Layering will bring together specialists in theory, numerical modelling, laboratory experiments and observations to address questions including how do layers and interfaces form in various settings, what factors control the strength of the interface between layers, what factors result in the erosion of the interface, and how strong must an interface be to resist being eroded?

Applied Mathematics (in general),    Meteorology and Climate Change