Image de couverture de livre

First Steps towards Categorical Algebraic Artificial Chemistry

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pratt-Johns, Joe, Smithe, Toby St. Clere, Guiver, Chris, Hughes, Kevin, Andras, Peter
Format:	Preprint
Publié:	2026
Sujets:	Computational Engineering, Finance, and Science
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Copy-composition for Probabilistic Graphical Models
par: Smithe, Toby St Clere
Publié: (2024)

Structured Active Inference (Extended Abstract)
par: Smithe, Toby St Clere
Publié: (2024)

Transaction Categorization with Relational Deep Learning in QuickBooks
par: Dong, Kaiwen, et autres
Publié: (2025)

Artificial Intelligence for Food Innovation
par: Datta, Bianca, et autres
Publié: (2025)

Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
par: Zhu, Zhuohang, et autres
Publié: (2025)

Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting
par: Peik, Arash, et autres
Publié: (2024)

Design and Verification of a Synchronus First In First Out (FIFO)
par: Penta, Yatheeswar, et autres
Publié: (2025)

Chem3DLLM: 3D Multimodal Large Language Models for Chemistry
par: Jiang, Lei, et autres
Publié: (2025)

Fair Interest Rates Are Impossible for Lending Pools: Results from Options Pricing
par: Halpern, Joe, et autres
Publié: (2024)

When structure does not imply symmetry
par: Pierre, Skyler R. St., et autres
Publié: (2026)

MOSAIK 3.0: Combining Time-Stepped and Discrete Event Simulation
par: Ofenloch, Annika, et autres
Publié: (2024)

equilibrium-c: A Lightweight Modern Equilibrium Chemistry Calculator for Hypersonic Flow Applications
par: Gibbons, Nicholas N.
Publié: (2024)

Crystalline Material Discovery in the Era of Artificial Intelligence
par: Wang, Zhenzhong, et autres
Publié: (2024)

CarAT: Carbon Atom Tracing across Industrial Chemical Value Chains via Chemistry Language Models
par: Pajak, Emma, et autres
Publié: (2025)

Hybrid Physics-Data Enrichments to Represent Uncertainty in Reduced Gas-Surface Chemistry Models for Hypersonic Flight
par: Bandy, Rileigh, et autres
Publié: (2025)

The Multiple Time-Stepping Method for 3-Body Interactions in High Performance Molecular Dynamics Simulations
par: Martin, David, et autres
Publié: (2025)

AutoBayes: A Compositional Framework for Generalized Variational Inference
par: Smithe, Toby St Clere, et autres
Publié: (2025)

Generative Artificial Intelligence creates delicious, sustainable, and nutritious burgers
par: Tac, Vahidullah, et autres
Publié: (2026)

Developing Artificial Mechanics Intuitions from Extremely Small Data
par: Peng, Jingruo, et autres
Publié: (2025)

Comparative Evaluation of Modern Deep Learning Methodologies for Portfolio Optimization
par: Ozechi, Samuel, et autres
Publié: (2026)

A 3D virtual geographic environment for flood representation towards risk communication
par: Li, Weilian, et autres
Publié: (2025)

AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models
par: Xu, Yuanyuan, et autres
Publié: (2025)

Development and Validation of an Artificial Neural Network for the Recognition of Custom Dataset with YOLOv4
par: Veysi, P., et autres
Publié: (2024)

A symbolic approach to discrete structural optimization using quantum annealing
par: Wils, Kevin, et autres
Publié: (2023)

Topology optimization of contact-aided thermo-mechanical regulators
par: Dalklint, Anna, et autres
Publié: (2024)

Ensured Energy: How a Serious Game can Reach and Engage Diverse Societal Groups in Swiss Energy Transition
par: Simpson, Toby, et autres
Publié: (2025)

Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning
par: Naghavi, Ehsan, et autres
Publié: (2025)

Transformational application of Artificial Intelligence and Machine learning in Financial Technologies and Financial services: A bibliometric review
par: Kanaparthi, Vijaya
Publié: (2024)

Watching Physics: the Generative Science of Matter and Motion
par: Holthusen, Hagen, et autres
Publié: (2026)

Networked Markets, Fragmented Data: Adaptive Graph Learning for Customer Risk Analytics and Policy Design
par: Zheng, Lecheng, et autres
Publié: (2025)

Multi-objective Optimisation Framework for Blue-Green Infrastructure Placement Using Detailed Flood Model
par: Rehman, Asid Ur, et autres
Publié: (2023)

Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers
par: Zheng, Li, et autres
Publié: (2025)

Enhancing Accuracy and Efficiency in Calibration of Drinking Water Distribution Networks Through Evolutionary Artificial Neural Networks and Expert Systems
par: Gomez, Cristian, et autres
Publié: (2024)

An Artificial Intelligence Approach for Interpreting Creative Combinational Designs
par: Chen, Liuqing, et autres
Publié: (2024)

Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems
par: Guo, Jiachen, et autres
Publié: (2025)

DFT: A Dual-branch Framework of Fluctuation and Trend for Stock Price Prediction
par: Dong, Chengqi, et autres
Publié: (2024)

Porous Convection in the Discrete Exterior Calculus with Geometric Multigrid
par: Morris, Luke, et autres
Publié: (2025)

A mixed-order quasicontinuum approach for beam-based architected materials with application to fracture
par: Kraschewski, Kevin, et autres
Publié: (2024)

Active Learning Enhanced Surrogate Modeling of Jet Engines in JuliaSim
par: Abdelrehim, Anas, et autres
Publié: (2025)

neuralCAD-Edit: An Expert Benchmark for Multimodal-Instructed 3D CAD Model Editing
par: Perrett, Toby, et autres
Publié: (2026)