| Tuesday 24 December 2024 | |
| Events for day: Wednesday 21 August 2024 |
| 09:00 - 10:00 Weekly Seminar Boolean Approaches in Systems Biology and Clinical Applications School BIOLOGICAL SCIENCES In a biological context, several genes or transcription factors can work cooperatively or competitively through the Boolean rules (e.g., AND, OR, XOR) to influence their downstream targets. By leveraging such Boolean rules, computational models can effectively capture the non-linear causal relationships and interaction directionalities. Moreover, Boolean rules are useful in situations involving critical decisionmaking, such as medical diagnoses of cancer subtypes or diabetes risk factors that necessitate interpretable models understood by humans. Here, I will discuss our recent research focusing on reconstructing genegene and TF-gene intera ... 11:00 - 12:00 Wednesday Weekly Seminar - Virtual Format Reloading Black Hole Thermodynamics with Noether Charges School PARTICLES AND ACCELERATORS Abstract: In electromagnetism, the Gauss law and in gravity, Komar integrals, both yield conserved quantities like electric charge and energy-momentum as "surface" integrals, contrasting with the more familiar volume integrals associated with the usual global conserved charges. The inherently lower-dimensional nature of conserved charges in theories with local symmetries allows us to consider the radial (spatial) conservation/balance equation, in addition to the standard temporal conservation law. In this talk, I will demonstrate how the Samrr relation and the black hole first law naturally emerge from the radial ... 14:00 - 15:00 Weekly Seminar Advancements in Machine Learning Potentials for Ionic and Amorphous Materials School NANO SCIENCES Machine learning (ML) is transforming computational materials science, offering powerful tools for predicting and exploring complex potential energy landscapes with unprecedented efficiency. Quantum-mechanical atomistic simulations often become impractical for systems with many atoms, such as interfaces, surfaces, grain boundaries, and nanoparticles. Therefore, developing accurate and flexible general-purpose interatomic potentials is crucial for these investigations. This talk highlights advancements in neural network potentials (NNPs) using the charge equilibration technique (CENT), with a focus on their application to ionic and amorphous m ... |