A User-Tunable Machine Learning Framework for Step-Wise Synthesis Planning
Fuente:
arXiv
Saved in:
| Main Authors: | Prakash, Shivesh, Patel, Nandan, Jacobsen, Hans-Arno, Prasad, Viki Kumar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Training of Transformers for Molecule Property Prediction on Small-scale Datasets
by: Prakash, Shivesh
Published: (2024)
by: Prakash, Shivesh
Published: (2024)
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
by: Zhao, Zhiyuan, et al.
Published: (2023)
by: Zhao, Zhiyuan, et al.
Published: (2023)
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
by: Karkaria, Vispi, et al.
Published: (2024)
by: Karkaria, Vispi, et al.
Published: (2024)
Applications of Machine Learning to Optimizing Polyolefin Manufacturing
by: Sharma, Niket, et al.
Published: (2024)
by: Sharma, Niket, et al.
Published: (2024)
A Machine Learning Approach For Bitcoin Forecasting
by: Sossi-Rojas, Stefano, et al.
Published: (2025)
by: Sossi-Rojas, Stefano, et al.
Published: (2025)
Machine Learning based Prediction of Ditching Loads
by: Schwarz, Henning, et al.
Published: (2024)
by: Schwarz, Henning, et al.
Published: (2024)
A Cutting Mechanics-based Machine Learning Modeling Method to Discover Governing Equations of Machining Dynamics
by: Ren, Alisa, et al.
Published: (2025)
by: Ren, Alisa, et al.
Published: (2025)
Physics-Informed Machine Learning for Smart Additive Manufacturing
by: Sharma, Rahul, et al.
Published: (2024)
by: Sharma, Rahul, et al.
Published: (2024)
Machine Learning-Assisted Discovery of Flow Reactor Designs
by: Savage, Tom, et al.
Published: (2023)
by: Savage, Tom, et al.
Published: (2023)
Physics-Informed Machine Learning for Grade Prediction in Froth Flotation
by: Nasiri, Mahdi, et al.
Published: (2024)
by: Nasiri, Mahdi, et al.
Published: (2024)
Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes
by: Herreros-Martínez, A., et al.
Published: (2024)
by: Herreros-Martínez, A., et al.
Published: (2024)
Using Sentiment and Technical Analysis to Predict Bitcoin with Machine Learning
by: Carosia, Arthur Emanuel de Oliveira
Published: (2024)
by: Carosia, Arthur Emanuel de Oliveira
Published: (2024)
Parametric Nonlinear Volterra Series via Machine Learning: Transonic Aerodynamics
by: Immordino, Gabriele, et al.
Published: (2024)
by: Immordino, Gabriele, et al.
Published: (2024)
Physics-Enhanced Machine Learning: a position paper for dynamical systems investigations
by: Cicirello, Alice
Published: (2024)
by: Cicirello, Alice
Published: (2024)
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
by: Park, Junghoon Justin, et al.
Published: (2025)
by: Park, Junghoon Justin, et al.
Published: (2025)
Knowledge-guided Machine Learning: Current Trends and Future Prospects
by: Karpatne, Anuj, et al.
Published: (2024)
by: Karpatne, Anuj, et al.
Published: (2024)
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
by: Singh, Pratyush Kumar, et al.
Published: (2024)
by: Singh, Pratyush Kumar, et al.
Published: (2024)
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design)
by: Yagoubi, Mouadh, et al.
Published: (2024)
by: Yagoubi, Mouadh, et al.
Published: (2024)
Toward Developing Machine-Learning-Aided Tools for the Thermomechanical Monitoring of Nuclear Reactor Components
by: Machado, Luiz Aldeia, et al.
Published: (2025)
by: Machado, Luiz Aldeia, et al.
Published: (2025)
Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator
by: Oddiraju, Manaswin, et al.
Published: (2024)
by: Oddiraju, Manaswin, et al.
Published: (2024)
ABM-UDE: Developing Surrogates for Epidemic Agent-Based Models via Scientific Machine Learning
by: Murgai, Sharv, et al.
Published: (2026)
by: Murgai, Sharv, et al.
Published: (2026)
Free-form Grid Structure Form Finding based on Machine Learning and Multi-objective Optimisation
by: Meng, Yiping, et al.
Published: (2024)
by: Meng, Yiping, et al.
Published: (2024)
Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?
by: Chen, Rex, et al.
Published: (2023)
by: Chen, Rex, et al.
Published: (2023)
Deployment of Traditional and Hybrid Machine Learning for Critical Heat Flux Prediction in the CTF Thermal Hydraulics Code
by: Furlong, Aidan, et al.
Published: (2025)
by: Furlong, Aidan, et al.
Published: (2025)
HELM: Hierarchical Encoding for mRNA Language Modeling
by: Yazdani-Jahromi, Mehdi, et al.
Published: (2024)
by: Yazdani-Jahromi, Mehdi, et al.
Published: (2024)
FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report
by: Cardaioli, Matteo, et al.
Published: (2025)
by: Cardaioli, Matteo, et al.
Published: (2025)
A Machine Learning Approach to Generate Residual Stress Distributions using Sparse Characterization Data in Friction-Stir Processed Parts
by: Shaikh, Shadab Anwar, et al.
Published: (2025)
by: Shaikh, Shadab Anwar, et al.
Published: (2025)
Toward data-driven research: preliminary study to predict surface roughness in material extrusion using previously published data with Machine Learning
by: García-Martínez, Fátima, et al.
Published: (2024)
by: García-Martínez, Fátima, et al.
Published: (2024)
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025)
by: Cheng, Yu, et al.
Published: (2025)
Extreme Scenario Selection in Day-Ahead Power Grid Operational Planning
by: Terrén-Serrano, Guillermo, et al.
Published: (2023)
by: Terrén-Serrano, Guillermo, et al.
Published: (2023)
Modeling Market States with Clustering and State Machines
by: Oliva, Christian, et al.
Published: (2025)
by: Oliva, Christian, et al.
Published: (2025)
Quantum Data Encoding and Variational Algorithms: A Framework for Hybrid Quantum Classical Machine Learning
by: Bose, Bhavna, et al.
Published: (2025)
by: Bose, Bhavna, et al.
Published: (2025)
${\it Asparagus}$: A Toolkit for Autonomous, User-Guided Construction of Machine-Learned Potential Energy Surfaces
by: Töpfer, Kai, et al.
Published: (2024)
by: Töpfer, Kai, et al.
Published: (2024)
Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios
by: Choudhary, Himanshu, et al.
Published: (2025)
by: Choudhary, Himanshu, et al.
Published: (2025)
COBRA: Multimodal Sensing Deep Learning Framework for Remote Chronic Obesity Management via Wrist-Worn Activity Monitoring
by: Shen, Zhengyang, et al.
Published: (2025)
by: Shen, Zhengyang, et al.
Published: (2025)
Privacy-Preserving Generation Fraud Detection for Distributed Photovoltaic Systems: A Solar Irradiance-Fused Federated Learning Framework
by: Chen, Xiaolu, et al.
Published: (2026)
by: Chen, Xiaolu, et al.
Published: (2026)
ShapeGen3DCP: A Deep Learning Framework for Layer Shape Prediction in 3D Concrete Printing
by: Rizzieri, Giacomo, et al.
Published: (2025)
by: Rizzieri, Giacomo, et al.
Published: (2025)
An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance Analysis
by: Amusat, Oluwamayowa O., et al.
Published: (2026)
by: Amusat, Oluwamayowa O., et al.
Published: (2026)
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes
by: Sudarshan, Vikram, et al.
Published: (2024)
by: Sudarshan, Vikram, et al.
Published: (2024)
Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024)
by: Cheng, Qishuo, et al.
Published: (2024)
Similar Items
-
Efficient Training of Transformers for Molecule Property Prediction on Small-scale Datasets
by: Prakash, Shivesh
Published: (2024) -
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
by: Zhao, Zhiyuan, et al.
Published: (2023) -
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
by: Karkaria, Vispi, et al.
Published: (2024) -
Applications of Machine Learning to Optimizing Polyolefin Manufacturing
by: Sharma, Niket, et al.
Published: (2024) -
A Machine Learning Approach For Bitcoin Forecasting
by: Sossi-Rojas, Stefano, et al.
Published: (2025)