MatGPT: A vane of materials informatics from past, present, to future

Z Wang, A Chen, K Tao, Y Han, J Li - Advanced Materials, 2024 - Wiley Online Library
Combining materials science, artificial intelligence (AI), physical chemistry, and other
disciplines, materials informatics is continuously accelerating the vigorous development of …

A step forward in food science, technology and industry using artificial intelligence

R Esmaeily, MA Razavi, SH Razavi - Trends in Food Science & Technology, 2023 - Elsevier
Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …

A crystallization case study toward optimization of expensive to evaluate mathematical models using Bayesian approach

A Tadepalli, KNS Pujari, K Mitra - Materials and Manufacturing …, 2023 - Taylor & Francis
Crystallization process operated in MSMPR mode is of great relevance in manufacturing
because of its low operational requirements and easy maintenance. However, to enhance …

Optimizing environmental sustainability in pharmaceutical 3D printing through machine learning

H Li, ME Alkahtani, AW Basit, M Elbadawi… - International Journal of …, 2023 - Elsevier
Abstract 3D Printing (3DP) of pharmaceuticals could drastically transform the manufacturing
of medicines and facilitate the widespread availability of personalised healthcare. However …

Analyzing the Performance and Efficiency of Machine Learning Algorithms, such as Deep Learning, Decision Trees, or Support Vector Machines, on Various Datasets …

H Tanveer, MA Adam, MA Khan, MA Ali… - The Asian Bulletin of Big …, 2023 - abbdm.com
This research endeavors to comprehensively evaluate and compare the performance of
three prominent machine learning algorithms—Deep Learning (DL), Decision Trees (DT) …

Opportunities for Machine Learning and Artificial Intelligence to Advance Synthetic Drug Substance Process Development

DJ Griffin, CW Coley, SA Frank… - … Process Research & …, 2023 - ACS Publications
The goals of this Perspective are threefold:(1) to inform a broad audience, including
machine learning (ML) and artificial intelligence (AI) academics and professionals, about …

Current trends and advancements in crystallization and single-crystal structural analysis of small molecules

Y Xiao, C Wu, L Zhou, P Commins, L Li… - Coordination Chemistry …, 2024 - Elsevier
The advancement of single-crystal structural analysis has emerged as a pivotal technology
surpassing spectroscopic methods in revealing the intricate structural details of organic …

Inhibition of Crystal Nucleation and Growth: A Review

Y Zhang, B Li, J Liu, D Han, S Rohani… - Crystal Growth & …, 2024 - ACS Publications
The formation of crystalline materials typically follows the nucleation and crystal growth
pathway, which enables scientists to engineer crystal properties, and the metastable status …

Enabling technologies for process intensification in pharmaceutical research and manufacturing

C Xiouras, K Kuijpers, D Fanfair, M Dorbec… - Current Opinion in …, 2023 - Elsevier
A perspective is given on the status and outlook of enabling technologies for process
intensification in pharmaceutical research and manufacturing. We focus on three areas …

Optimized identification of cheese products based on Raman spectroscopy and an extreme learning machine

ZY Zhang, MQ Jiang, HM Xiong - New Journal of Chemistry, 2023 - pubs.rsc.org
Rapid and intelligent identification of similar samples is an important technical aid for food
quality and safety assessment. At present, relevant research studies are still relatively …