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Isaac Alcón (Institut Catala de Nanociencia i Nanotecnologia (ICN2), Spain)
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Colossal quantum transport anisotropy in nanoporous graphenes at room temperature
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Oskar Andersson (Linköping University, Sweden)
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Generative AI models for property to structure materials prediction
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Mohammed Benaissa (Université de Rennes, CNRS, IPR (Institut de Physique de Rennes) - UMR 6251 F-35000, France)
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Reducing Computational time in 2D Material DFT Simulation with Charge Mixing Optimization via Bayesian Algorithm
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Juan Camilo Buitrago Diaz (Universidad de Ibagué, Colombia)
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Exploring the Potential of Mask Region-based Convolutional Neural Network in Identifying Twins in Shape Memory Alloys
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Juan Pablo Echeverry (Universidad de Ibagué, Colombia)
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Interrogating the Excitonic Insulator Phase in TiSe2: Plasmon Damping from First Principles
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Henrique Ferreira (Federal University of ABC, Brazil)
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A materials informatics approach to search for novel 1D perovskites of the Jakobssonite family
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Tommaso Forni (CNR - ISMN, Italy)
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GrapheNet: A Novel Deep Learning Model for Predicting Physical and Electronic Properties of 2D Materials Using Images
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Jose Hugo Garcia Aguilar (Institut Catala de Nanociencia i Nanotecnologia (ICN2), Spain)
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Exploring Quantum Property-Data Correlations in Metal Organic Frameworks using Unsupervised Learning
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Abdelkader Kara (University of Central Florida, USA)
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Using Machine Learning for Advanced Materials: The Case of High-Entropy Alloys
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Fabio Le Piane (CNR-ISMN, Italy)
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Automated data integration platforms for materials science and cheminformatics
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Peder Lyngby (DTU, Denmark)
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Exploring 2D Materials: Discovery and Characterization via Generative Models and DFT
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Artem Maevskiy (National University of Singapore, Institute for Functional Intelligent Materials, Singapore)
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Topological Analysis of Machine-Learned Interatomic Potential for Solid Electrolytes Discovery
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Marco Moors (Leibniz Institute of Surface Engineering (IOM), Germany)
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Polyoxovanadates as redox-active 2D materials for memristive applications
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Ilias-Panagiotis Oikonomou (Trinity College Dublin, Ireland)
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Identifying point defects in liquid-phase exfoliated PtSe2
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Yang Jeong Park (Massachusetts Institute of Technology, USA)
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Contrastive Learning of Language-Material Multimodal Representation
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Swapneel Amit Pathak (Max-Planck Institute for the Structure and Dynamics of Matter, Germany)
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Unsupervised clustering of magnetisation vector fields
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Gabriel Persson (Linköping University, IFM, Sweden)
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High-throughput Computational Workflows for Screening Fluoride Perovskites for use in Piezoelectrics.
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Alessandro Petrella (Università di Bologna, Italy)
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Physics-Informed Neural Network approach to Estimate the State of Health of Lithium-Ion Battery
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William Sandholt Hansen (Technical University of Denmark, Denmark)
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Computational design of stacking oxide free-standing membranes into artificial heterostructures
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Ari Paavo Seitsonen (École Normale Supérieure, France)
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Atomistics Simulation of Vibrational Signals in Liquid Water and Aqueous Solutions Using Machine Learning Potentials
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Juan José Seoane (Universitad Autónoma de Barcelona, Spain)
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Exploring Neural Networks for Predicting Bohmian Trajectories in Many-Body Scenarios
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Kartikeya Sharma (Technical University of Denmark, Denmark)
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Predicting properties of 2D materials using graph neural network
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Gohar Ali Siddiqui (Technical University of Munich, Germany)
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Enhancing the identification of collective variables and their interpretability using machine learning in molecular dynamics
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Mario Vozza (Polytechnic University of Turin, Italy)
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Efficient Workflow Automation for Materials Modeling: Towards Predictive AI Systems Using High Throughput Synthetic Dataset Generation
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| 18/24 |
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