Results 241 to 250 of about 33,823 (333)

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Solid State Fermentation-A Promising Approach to Produce Meat Analogues. [PDF]

Foods
Milcarz A, Harasym J.
europepmc   +1 more source

Improving the utilization of Silver carp (Hypopthalmichthys Molitrix) and other under-utilized fish species, especially Fresh water Bream (Abramis brama) [PDF]

, 2008
Bartels, P.V., Kals, J.
core   +1 more source

The impact of Caulerpa lentillifera powder on the textural and sensory qualities of a meat analogue [PDF]

Wolyna Pindi, Bei Xuan Low, Nurul Shaeera Sulaiman, Hana Mohd Zaini, Man Hin Heong, Anthony Chai, Patricia Matanjun, Nor Qhairul Izzreen Mohd Noor, Hasmadi Mamat, Ahmad Hazim Abdul Aziz, Abdul Aziz Jaziri, Heder Djamaludin   +11 more
openalex   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Shaping meat analogues : Ingredients & texture

openaire   +2 more sources

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Experts' perspectives on allergic reactions to emerging food sources, pollen and insects. [PDF]

Allergol Select
Faust L, Dölle-Bierke S, Höfer V, Worm M.   +3 more
europepmc   +1 more source

Structure and flavor properties of meat analogues from yeast and soy protein prepared via high-moisture extrusion

Jian Song, Songgang Xia, Chengxin Ma, Tingting Hao, Shuo Shen, Tingyu Feng, Changhu Xue, Xiaoming Jiang   +7 more
openalex   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source