Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
Fuente:
arXiv
Saved in:
| Main Authors: | Priyadarsini, Indra, Sharma, Vidushi, Takeda, Seiji, Kishimoto, Akihiro, Hamada, Lisa, Shinohara, Hajime |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SELF-BART : A Transformer-based Molecular Representation Model using SELFIES
by: Priyadarsini, Indra, et al.
Published: (2024)
by: Priyadarsini, Indra, et al.
Published: (2024)
LLM-Fusion: A Novel Multimodal Fusion Model for Accelerated Material Discovery
by: Boyar, Onur, et al.
Published: (2025)
by: Boyar, Onur, et al.
Published: (2025)
Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming
by: Sharma, Aasish Kumar, et al.
Published: (2025)
by: Sharma, Aasish Kumar, et al.
Published: (2025)
Adaptive Semantic Token Communication for Transformer-based Edge Inference
by: Devoto, Alessio, et al.
Published: (2025)
by: Devoto, Alessio, et al.
Published: (2025)
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators
by: Ibrayev, Timur, et al.
Published: (2024)
by: Ibrayev, Timur, et al.
Published: (2024)
Beyond the Mean: Modelling Annotation Distributions in Continuous Affect Prediction
by: Pinitas, Kosmas, et al.
Published: (2026)
by: Pinitas, Kosmas, et al.
Published: (2026)
Machine Learning Models for Predicting Smoking-Related Health Decline and Disease Risk
by: Chakma, Vaskar, et al.
Published: (2025)
by: Chakma, Vaskar, et al.
Published: (2025)
A Hybrid Tucker-LSTM Tensor Network Model for SOC Prediction in Electric Vehicles
by: Wang, Han, et al.
Published: (2026)
by: Wang, Han, et al.
Published: (2026)
Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction
by: Huang, Yin, et al.
Published: (2024)
by: Huang, Yin, et al.
Published: (2024)
Clustering Guided Residual Neural Networks for Multi-Tx Localization in Molecular Communications
by: Sonmez, Ali, et al.
Published: (2025)
by: Sonmez, Ali, et al.
Published: (2025)
Device Modeling Bias in ReRAM-based Neural Network Simulations
by: Yousuf, Osama, et al.
Published: (2022)
by: Yousuf, Osama, et al.
Published: (2022)
Robust Reasoning and Learning with Brain-Inspired Representations under Hardware-Induced Nonlinearities
by: Chung, William Youngwoo, et al.
Published: (2026)
by: Chung, William Youngwoo, et al.
Published: (2026)
Oscillator Formulations of Many NP Problems
by: Cai, Wenxiao, et al.
Published: (2025)
by: Cai, Wenxiao, et al.
Published: (2025)
Sense Less, Infer More: Agentic Multimodal Transformers for Edge Medical Intelligence
by: Zhou, Chengwei, et al.
Published: (2026)
by: Zhou, Chengwei, et al.
Published: (2026)
Confidence Interval Estimation of Predictive Performance in the Context of AutoML
by: Paraschakis, Konstantinos, et al.
Published: (2024)
by: Paraschakis, Konstantinos, et al.
Published: (2024)
Three Birds with One Stone: Improving Performance, Convergence, and System Throughput with Nest
by: Huo, Yuqian, et al.
Published: (2025)
by: Huo, Yuqian, et al.
Published: (2025)
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation
by: Bhattacharjee, Abhiroop, et al.
Published: (2024)
by: Bhattacharjee, Abhiroop, et al.
Published: (2024)
Open-Source LLM-Driven Federated Transformer for Predictive IoV Management
by: Otoum, Yazan, et al.
Published: (2025)
by: Otoum, Yazan, et al.
Published: (2025)
Qubit-Efficient QUBO Formulation for Constrained Optimization Problems
by: Kanatbekova, Meerzhan, et al.
Published: (2025)
by: Kanatbekova, Meerzhan, et al.
Published: (2025)
SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles
by: Rao, Bin, et al.
Published: (2026)
by: Rao, Bin, et al.
Published: (2026)
DeepSeek Powered Solid Dosage Formulation Design and Development
by: Lin, Leqi, et al.
Published: (2025)
by: Lin, Leqi, et al.
Published: (2025)
Trustworthy Tree-based Machine Learning by $MoS_2$ Flash-based Analog CAM with Inherent Soft Boundaries
by: Wen, Bo, et al.
Published: (2025)
by: Wen, Bo, et al.
Published: (2025)
Performance of QUBO-Formulated MIMO Detection Under Hardware Precision Constraints
by: Hashemi, Seyedkhashayar, et al.
Published: (2026)
by: Hashemi, Seyedkhashayar, et al.
Published: (2026)
Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators
by: Pelke, Rebecca, et al.
Published: (2026)
by: Pelke, Rebecca, et al.
Published: (2026)
GNN-based Path-aware multi-view Circuit Learning for Technology Mapping
by: Jiang, Wentao, et al.
Published: (2026)
by: Jiang, Wentao, et al.
Published: (2026)
Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency
by: Bergadano, Lorenzo, et al.
Published: (2024)
by: Bergadano, Lorenzo, et al.
Published: (2024)
Supplementation of deep neural networks with simplified physics-based features to increase model prediction accuracy
by: Clinkinbeard, Nicholus R., et al.
Published: (2022)
by: Clinkinbeard, Nicholus R., et al.
Published: (2022)
IMPLY-based Approximate Full Adders for Efficient Arithmetic Operations in Image Processing and Machine Learning
by: Qiu, Melanie, et al.
Published: (2024)
by: Qiu, Melanie, et al.
Published: (2024)
System Modeling of Microfluidic Molecular Communication: A Markov Approach
by: Zheng, Ruifeng, et al.
Published: (2025)
by: Zheng, Ruifeng, et al.
Published: (2025)
Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction
by: Sakhuja, Saiyam, et al.
Published: (2025)
by: Sakhuja, Saiyam, et al.
Published: (2025)
Quantum Machine Learning in Healthcare: Evaluating QNN and QSVM Models
by: Tudisco, Antonio, et al.
Published: (2025)
by: Tudisco, Antonio, et al.
Published: (2025)
A Dual Power Grid Cascading Failure Model for the Vulnerability Analysis
by: Zhou, Tianxin, et al.
Published: (2024)
by: Zhou, Tianxin, et al.
Published: (2024)
Generation of Optimized Solidity Code for Machine Learning Models using LLMs
by: Sham, Nikumbh Sarthak, et al.
Published: (2025)
by: Sham, Nikumbh Sarthak, et al.
Published: (2025)
From Independent to Correlated Diffusion: Generalized Generative Modeling with Probabilistic Computers
by: Singh, Nihal Sanjay, et al.
Published: (2026)
by: Singh, Nihal Sanjay, et al.
Published: (2026)
Robust Anomaly Detection in O-RAN: Leveraging LLMs against Data Manipulation Attacks
by: Dayaratne, Thusitha, et al.
Published: (2025)
by: Dayaratne, Thusitha, et al.
Published: (2025)
World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications
by: Zidan, Arif Hassan, et al.
Published: (2026)
by: Zidan, Arif Hassan, et al.
Published: (2026)
Embedding-Enhanced Probabilistic Modeling of Ferroelectric Field Effect Transistors (FeFETs)
by: Afee, Tasnia Nobi, et al.
Published: (2025)
by: Afee, Tasnia Nobi, et al.
Published: (2025)
Model-free front-to-end training of a large high performance laser neural network
by: Skalli, Anas, et al.
Published: (2025)
by: Skalli, Anas, et al.
Published: (2025)
Calibration and Evaluation of Car-Following Models for Autonomous Shuttles Using a Novel Multi-Criteria Framework
by: Favero, Renan, et al.
Published: (2026)
by: Favero, Renan, et al.
Published: (2026)
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions
by: Javaid, Shumaila, et al.
Published: (2024)
by: Javaid, Shumaila, et al.
Published: (2024)
Similar Items
-
SELF-BART : A Transformer-based Molecular Representation Model using SELFIES
by: Priyadarsini, Indra, et al.
Published: (2024) -
LLM-Fusion: A Novel Multimodal Fusion Model for Accelerated Material Discovery
by: Boyar, Onur, et al.
Published: (2025) -
Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming
by: Sharma, Aasish Kumar, et al.
Published: (2025) -
Adaptive Semantic Token Communication for Transformer-based Edge Inference
by: Devoto, Alessio, et al.
Published: (2025) -
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators
by: Ibrayev, Timur, et al.
Published: (2024)