Results 211 to 220 of about 33,136 (300)

Structure-Function Relationships in High-Moisture Meat Analogues: Effects of Soybean Residue (Okara) on Plant Protein-Starch Gels. [PDF]

Gels
Aussanasuwannakul A, Pantoa T, Pengpinit W.   +2 more
europepmc   +1 more source

Shaping meat analogues : Ingredients & texture

openaire   +2 more sources

A multiscale Bayesian optimization framework for process and material codesign

AIChE Journal, EarlyView.
Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley   +1 more source

Mushroom: an emerging source for next generation meat analogues. [PDF]

Front Nutr
Panda J, Nath PC, Mishra AK, Rustagi S, Nayak D, Blundell R, Mohanta YK.   +6 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Application Potential of Lion's Mane Mushroom in Soy-Based Meat Analogues by High Moisture Extrusion: Physicochemical, Structural and Flavor Characteristics. [PDF]

Foods
Gao Y, Yan S, Chen K, Chen Q, Li B, Li J.   +5 more
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Construction and Textural Properties of Plant-Based Fat Analogues Based on a Soy Protein Isolate/Sodium Alginate Complex Coacervation System. [PDF]

Foods
Tu Y, Liang G, Wang Z, Zeng M, He Z, Chen Q, Chen J.   +6 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Comprehensive Review of Alternative Proteins in Pet Food: Research Publications, Patents, and Product Trends in Plant, Aquatic, Insect, and Cell-Based Sources. [PDF]

Foods
Klinmalai P, Kamonpatana P, Thongpech A, Sodsai J, Promhuad K, Srisa A, Laorenza Y, Kovitvadhi A, Areerat S, Seubsai A, Sablani SS, Harnkarnsujarit N.   +11 more
europepmc   +1 more source