Results 161 to 170 of about 6,324,147 (316)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Enhancing grid stability using dynamic reserve power point tracking techniques. [PDF]

PLoS One
Kumar S, Venkatakrishnan GR, Rengaraj R, Kumar A, Kumar P.   +4 more
europepmc   +1 more source

Modulation of Local Environment for Selective Bicarbonate Conversion to Multi‐Carbon Products

Advanced Energy Materials, EarlyView.
Highly porous Cu electrode partially coated with an ionomer/carbon composite enables efficient conversion of bicarbonate to multi‐carbon products. By regulating the local reaction microenvironment, this strategy overcomes selectivity and reaction‐rate limitations, achieving Faradaic efficiencies of 43% for ethylene and 60% for total multi‐carbon ...
Tai Nguyen, Anh N. Nguyen, Guorui Gao, Jackson Crane, Thành Trần‐Phú, Gelson Tavares da Silva, Aldo Gonzalez‐Lopez, Hung Lai, Khac Huy Dinh, Duc‐Minh Phan‐Pham, Martin Guay, Carlos Escobedo, Rosalie K. Hocking, Jonathan Raisin, Lucia H. Mascaro, Cao‐Thang Dinh   +15 more
wiley   +1 more source

A novel hybrid SEPIC-Landsman bidirectional converter for renewable-energy-based EV charging. [PDF]

Sci Rep
S H, Rajendran R, Inayathullaah MA, Swathi B.   +3 more
europepmc   +1 more source

Maximum Stability Point Tracking Stabilizes Wide‐Bandgap Mixed‐Halide Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
A maximum stability point tracking (MSPT) strategy suppresses charge trapping‐induced halide segregation, enabling wide‐bandgap perovskite solar cells to achieve significantly enhanced operational stability compared to conventional maximum power point tracking (MPPT).
Seongheon Kim, Geon Kim, Taeeon Kim, Kwang Seop Shin, Jongchan Kim, Mansoo Choi, Yun Seog Lee, Namyoung Ahn   +7 more
wiley   +1 more source

Enhanced voltage regulation and current sharing of radial DC microgrids. [PDF]

Sci Rep
Mowafy IA, El-Ebiary AH, Attia M, Abdelaziz AY.   +3 more
europepmc   +1 more source

Selenocyanate Driven Organic Cations Homogenization in Wide‐Bandgap Perovskite

Advanced Energy Materials, EarlyView.
Selenocyanate pseudohalide doping stabilizes 1.66 eV wide‐bandgap formamidinium (FA)‐based perovskite lattices via strong FA+ hydrogen bonding and matched ionic radii. Uniform cation distribution and suppressed ion migration reduces defect losses, delivering >24% single‐junction efficiency and 32.66% perovskite/silicon tandem performance with ...
Zhi‐Wen Gao, Jun Fang, Yehui Wen, Longbin Qiu, Jiajia Zhang, Yong Wang, Wallace C. H. Choy   +6 more
wiley   +1 more source

Backstepping Predictive Direct Power Control of Grid-Connected Photovoltaic System Considering Power Quality Issue

Majlesi Journal of Electrical Engineering
In this paper, a grid connected PV system acting as shunt active power filter for power quality enhancement is presented. Further, a DC-DC boost converter is used to interface the photovoltaic generator with the grid, which provides a continuous power ...
Brahim Elkhalil Youcefa, Ahmed Massoum, Said Barkat, Patrice Wira   +3 more
doaj  

A Two-Stage VM Migration Framework for Power-Constrained Data Center Load Scheduling. [PDF]

Sensors (Basel)
Bu X, Sun H, Tian F, Li X.
europepmc   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source