Results 141 to 150 of about 3,502 (183)

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Research Progress on Additively Manufactured Diamond Tools. [PDF]

Materials (Basel)
Tian C, Chen C, Wan Y, Li X.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Grinding-Electrode-Assisted Short Electric Arc Machining of GH4099: A Composite Approach to Surface Integrity. [PDF]

Materials (Basel)
Wang B, Ding S, Zhou J, Hu J, Sun T, Sha L.   +5 more
europepmc   +1 more source

The Antidiabetic Potential of Alpha‐Mangostin: A Review of Preclinical and Clinical Evidence

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Alpha‐mangostin is a compound from the pericarp of Garcinia mangostana. The antidiabetic effects of alpha‐mangostin include enhancing insulin secretion, improving glucose uptake through GLUT receptor upregulation, reducing oxidative stress and inflammation, promoting wound healing, reducing HbA1C, reducing HOMA‐IR index, and decreased mRNA expressions ...
Oliver Dean John, Nur Damia Iwani Zulkiflee, Siti Raihanah Shafie, Ramlah George, Melonney Patrick   +4 more
wiley   +1 more source

Multi objective optimization of AWJM parameters for ZrO₂ coated MWCNTs reinforced HDPE nanocomposites using Taguchi Grey relational analysis. [PDF]

Sci Rep
Suhas K, Murthy BRN, Hiremath A, Hiremath P.   +3 more
europepmc   +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

Particles in Band Saw Coolant: Size Distributions and Implications for Guide Clearances and Friction. [PDF]

Materials (Basel)
Schmid M, Tandler T, Möhring HC, Schmitz K.   +3 more
europepmc   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source