Results 191 to 200 of about 23,772 (258)

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Triaxial test investigation of the reinforcement effect of Acacia dealbata roots on mountain red soil. [PDF]

Sci Rep
Dai X, Xu Z, Ye H, Zeng Y.
europepmc   +1 more source

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

An Opinion on the Expression of Cohesive Force and Angle of Internal Friction of Pulverized Materials

Journal of the Research Association of Powder Technology, Japan, 1966
Aoki, Ryuichi, Yamafuji, Kazuo
openaire   +2 more sources

Research on establishment of bonded particle model for pellet feed and its application. [PDF]

Sci Rep
Liu Z, Kong X, Wang W, Liu H, Leng B, Zhou J.   +5 more
europepmc   +1 more source

High‐Performance Elastomeric Lithium Metal Anodes Enabled by a Lithiophilic Monolayer‐Assembled Nano‐Crumpled Micro‐Concave Architecture

Advanced Energy Materials, EarlyView.
We report an elastomeric lithium metal anode integrating hierarchical nano–micro architectures with uniformly assembled lithiophilic amine functionalities. This design enables synergistic stress and interfacial regulation, effectively suppresses dendritic growth, and ensures stable cycling, highlighting elastomeric anodes as a promising platform for ...
Sungha Choi, Donghyeon Nam, Geon Choi, Seonho Lee, Seungeun Paik, Yongkwon Song, Seungyeop Choi, Jaejin Lim, Woojae Chang, Jeong Gon Son, Daegun Kim, Giwon Lee, Sungjun Park, Yong Min Lee, Seoin Back, Yongmin Ko, Jinhan Cho   +16 more
wiley   +1 more source

Mechanical properties and energy evolution characteristics of fissure sandstone under the interaction between water and fissures. [PDF]

PLoS One
He Q, Deng J, Yuan G.
europepmc   +1 more source

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

Agribusiness, EarlyView.
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever, Marius Michels, Oliver Musshoff   +2 more
wiley   +1 more source

Study on the influencing factors of shear strength of loess mudstone interface. [PDF]

PLoS One
Ren X, Liu S, Zhu T, Xu B.
europepmc   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source