Skip to main content Accessibility information
Cambridge Open Engage Home
How to Submit
Browse
Events
Communities
About

Archive January 2026

2026
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Subject: Chemistry
,
Working Paper
, Title:

A round-robin exercise for the precise prediction of aqueous solubility of organic chemicals using chemometric, machine learning, and stacking ensemble of deep learning models

, Authors: Arkaprava Banerjee, Vinay Kumar, Shubha Das, Prodipta Bhattacharyya, Probir Kumar Ojha, Indrasis Dasgupta, Shovanlal Gayen, Yogendra Chandra, Partha Pratim Roy, Siyun Yang, Lu Li, Supratik Kar, Jyotsna Bhat-Ambure, Pravin Ambure, Kunal Roy
Version undefined posted 02 January 2026
Posted
Jan 02, 2026
10.26434/chemrxiv-2026-6xb6k
by ChemRxiv
 
Complete Archive
2026
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2025
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2024
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2023
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2022
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2021
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2020
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2019
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
How to submit
Browse
Events
Communities
About us
Brought To You By
Cambridge University Press home
Cambridge Open Engage home Cambridge Open Engage Archive
Legal Notices
Privacy Policy
Accessibility
Contact and Help
Our Roadmap
Public API
Cambridge Open Engage Facebook home | opens in a new tab Cambridge Open Engage Twitter home | opens in a new tab Cambridge Open Engage Youtube home | opens in a new tab
1.0.2762