Publications

550 results for Accelerated Discovery

AutoPeptideML: An Automated Machine Learning Method for Building Peptide Bioactivity Predictors Leveraging Protein Language Models
- - Raúl Fernández Díaz
  - Rodrigo Cossio-pérez
  - et al.
- 2023
- ICBG 2023
In-silico Polymer Generation using fine-tuned Regression Transformers with Open Reference Data
- - Ronaldo Giro
  - Hsiang Han Hsu
  - et al.
- 2023
- MRS Fall Meeting 2023
Pre-Treatment Methods for Machine Learning in Finer UV Spectrum Inference
- - Hajime Shinohara
  - Indra Priyadarsini S
  - et al.
- 2023
- MRS Fall Meeting 2023
A transformer based large-scale molecular representation model
- - Indra Priyadarsini S
  - Seiji Takeda
  - et al.
- 2023
- MRS Fall Meeting 2023
Autoencoder based on Graph and Recurrent Neural Networks and Application to Property Prediction
- - Akihiro Kishimoto
  - Hiroshi Kajino
  - et al.
- 2023
- MRS Fall Meeting 2023
Direct Sampling for Spatially Variable Extreme Event Generation in Resampling-Based Stochastic Weather Generators
- - Jorge Guevara
  - Maria Garcia
  - et al.
- 2023
- J. Adv. Model. Earth Syst.
Identifying Medications for Inflammatory Bowel Disease from Unstructured Data using Knowledge Graphs and UMLS Vocabularies
- - Joao Bettencourt-Silva
  - Natasha Mulligan
  - et al.
- 2023
- AMIA Annual Symposium 2023
Sunfish: An Open Centralized Composable HPC Management Framework
- - Phil Cayton
  - Michael Aguilar
  - et al.
- 2023
- SC 2023
Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance
- - Vidushi Sharma
  - Maxwell Giammona
  - et al.
- 2023
- J. Chem. Inf. Model.
An Integrated Modeling Framework for Screening CO2 Capture Materials
- - Yogesh Joshi
  - Ashish Mhadeshwar
  - et al.
- 2023
- AIChE 2023