Results 111 to 120 of about 105,184 (260)

Thermo-ecological cost (TEC) evaluation of metallurgical processes

Metalurgija, 2015
Metallurgy represents a complex production system of fuel and mineral non-renewable resources transformation. The effectiveness of resource management in metallurgical chains depends on the applied ore grade and on the irreversibility of components of ...
W. Stanek, L. Blacha, M. Szega
doaj  

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Innovative application of mathematical methods in evaluation of ore raw materials for production of iron

Metalurgija, 2014
Current principles of evaluation of ore raw materials are usually based on a comparison of selected isolated criteria. Today‘s sophisticated technological level of blast furnace process requires the introduction of raw material indicators that provide ...
P. Besta, A. Samolejová, R. Lenort, F. Zapletal   +3 more
doaj  

Steric Coordination Modulated Iodine Chemistry With Four‐Electron Conversion for Zinc‐Iodine Batteries

Advanced Materials, EarlyView.
A dual‐additive electrolyte strategy is developed to address the hydrolysis of I+ in the aqueous electrolytes. The steric‐hindrance effect of TES− effectively shields I+ from nucleophilic attacks by hydroxyl groups, facilitating the reversible I−/I0/I+ conversion with four‐electron transfer.
Shuai Wang, Haoran Wang, Yujue Yang, Yuanyuan Gao, Yaopeng Wu, Junze Zhang, Jingxin Zhao, Yuejiao Chen, Bingang Xu   +8 more
wiley   +1 more source

Low Resistance Interphase Formation at the PEO‐LiTFSI|LGPS Interface in Lithium Solid‐State Batteries

Advanced Materials Interfaces, EarlyView.
Interfacial charge transfer and low‐resistance interphase formation between PEO‐based polymer and Li10GeP2S12 solid electrolytes are investigated using multi‐electrode impedance spectroscopy and advanced analytical techniques such as XPS and ToF‐SIMS.
Ujjawal Sigar, Timo Weintraut, Sebastian L. Benz, Semih Engün, Sascha Kremer, Anja Henss, Felix H. Richter   +6 more
wiley   +1 more source

Benchmarking Coaxial and Angular Optical Emission Spectroscopy With Recommendations for Reliable Compositional In Situ Monitoring During Laser Powder Bed Fusion

Advanced Materials Technologies, EarlyView.
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel, Bastian Jülich, Anna Rosa Ziefuss, Florian Eibl, Stephan Barcikowski   +4 more
wiley   +1 more source

Direct Gravity‐Induced Modulation of Cardiac Conduction Pathways Evidenced Through Propagation Features in Electrophysiological Mapping

Advanced Materials Technologies, EarlyView.
A high‐density wearable body‐surface potential mapping array reveals how gravity reshapes cardiac conduction in real time. By resolving spatiotemporal delay patterns invisible to conventional ECG, the platform uncovers posture‐dependent electrophysiological adaptations across the thorax.
Ruben Ruiz‐Mateos Serrano, Matias L. Picchio, Daniele Mantione, David Mecerreyes, George G. Malliaras   +4 more
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Correction: Li et al. Effect of Interlayer Temperature-Controlled Thermal Cycling on the Microstructure and Mechanical Properties of Wire Arc Directed Energy Deposition H13 Steel. <i>Materials</i> 2026, <i>19</i>, 111. [PDF]

Materials (Basel)
Li C, Suen H, Yang Y, Zhang L, Chen Q, Gao T, Yuan B, Cheng L, Lv Z.   +8 more
europepmc   +1 more source

Zinc Exposure Causes Disulfidptosis to Induce Miscarriage by Up‐Regulating GATA1/METTL1/SLC7A11 Axis

Advanced Science, EarlyView.
Zn exposure up‐regulates GATA1, promoting GATA1‐mediated METTL1 and SLC7A11 transcription. It also enhances METTL1‐mediated m7G modification on SLC7A11 mRNA, increasing SLC7A11 mRNA stability. Ultimately, Zn exposure up‐regulates SLC7A11 at both transcriptional and post‐transcriptional levels, causing disulfidptosis. Knockdown of murine Slc7a11, Gata1,
Wenxin Huang, Yi Sun, Yanxin Wang, Haijun Yan, Xiaoping Yue, Weidong Wu, Xueyu Chen, Jinfang Zhang, Yanbing Lin, Qiong Lei, Nan Ji, Shuaishuai Xing, Liqin Zeng, Qingzheng Kang, Depeng Zhao, Geng Guo, Huidong Zhang   +16 more
wiley   +1 more source