Results 81 to 90 of about 51,144 (287)

PERENCANAAN JARINGAN AIR BERSIH PEDESAAN (Studi Kasus di Desa Bulukerto Kecamatan Bumiaji Kota Batu) [PDF]

, 2023
As the number of residents and housing in an area increases, the need for clean water consumption will continue to increase from year to year, therefore the system or facilities needed to provide clean water that currently exist will not be possible in ...
Genjong, Bayu Bagus Aditya
core  

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

PARETO DIAGRAMS STUDY OF GROSS REGIONAL DOMESTIC PRODUCT EXPOSURE IN CERTAIN SECTORS IN A REGION

JURUTERA - Jurnal Umum Teknik Terapan, 2022
Study is learning scientific study. A Pareto chart is a diagram consisting of a bar graph and a line graph that illustrates a comparison of each type of problem data with its overall causes. Gross Regional Domestic Product (PDRB) is the total gross added value arising from all economic sectors in a particular area.
Febi Kurnia Sari, Ceni, Supardi
openaire   +2 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

ANALISIS PENGENDALIAN KUALITAS PRODUKSI MENGGUNAKAN ALAT BANTU STATISTIK ( STATISTICAL PROCESS CONTROL ) PADA KANTOR PERCETAKAN HARIAN UMUM PT. PIKIRAN RAKYAT [PDF]

, 2015
PT. Pikiran Rakyat sebagai perusahaan yang bergerak dalam industri percetakan dan penerbitan koran, dalam setiap aktivitas produksinya selalu berusaha untuk menghasilkan produk koran yang berkualitas baik dengan menerapkan standar kualitas produksi dan ...
Febriana, Arfian
core  

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Quality Control of Head Cylinder Products Using the Seven Tools Approach at PT Otomotif Indonesia

Jurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
PT Otomotif Indonesia is a Japanese manufacturing company. Company management continues to strive to improve the quality of products produced, including cylinder heads.
Budi Nurjaman, Aris Insan Waluya, Weni Tri Sasmi   +2 more
doaj   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +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

Multi‐Objective Catalyst Discovery in High‐Entropy Alloy Composition Space: The Role of Noble Metals on the Pareto Front for Oxygen Reduction Reaction

Angewandte Chemie, EarlyView.
Pareto optimal compositions of alloy catalyst for oxygen reduction reaction are uncovered through multi‐objective Bayesian optimization of activity, stability, and material cost in an eight‐element high‐entropy alloy composition space. The substantial Pareto front obtained is compared to experimental literature and analyzed to elucidate the roles and ...
Mads K. Plenge, Ahmad Tirmidzi, Christian M. Clausen, Matthias Arenz, Jan Rossmeisl   +4 more
wiley   +2 more sources